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Month: September 2024

Coinbase: Base Layer 2 and Derivatives Make a Case for A More Durable Business Model

Posted on September 27, 2024June 30, 2026 by io-fund

The I/O Fund recently entered Coinbase primarily based on technicals. Coinbase offers investors a rare glimpse into the fundamentals of a crypto-related company, yet it’s clear to see Coinbase’s fundamentals are not a reliable indicator of future performance. Rather, asset prices and volatility in crypto are more important than traditional fundamentals for Coinbase because the company charges trading fees for each transaction.

Below is a clear picture that Coinbase trades in lock-step with Bitcoin. Due to it being a publicly traded stock, Coinbase can exceed Bitcoin at crypto peaks due to the ease of trading a stock compared to crypto assets.

Coinbase has primarily been a spot trading exchange, to where crypto traders buy the asset at current market prices. In November of 2023, Coinbase added derivatives trading which will help the exchange participate in a higher percentage of trading activity. Derivatives trading is roughly 2/3 of all crypto trading compared to spot trading at 1/3. Sometimes, derivatives trading is as high as 70% or even 75% of crypto trading volume, which means for the first time this year, Coinbase is able to participate in this lucrative space.

Equally as important (if not more so), Coinbase has launched a Layer 2 called Base over the past year, which has been growing in popularity and ranks #6 across both Layer 1 and Layer 2 chains in terms of total value locked (TVL). At one point, Base surpassed Solana in its first year of launching. Base facilitates faster and cheaper transactions, which is the most critical problem for the crypto complex to solve. If Coinbase has truly solved this pain point with Base, and it appears it has, then the company is setting up a nice future for itself by not only diversifying away from asset prices and crypto volatility, but is also opening up a new revenue stream that theoretically could eclipse platform revenue once the blockchain ecosystem is fully mature.

Before we sound the bull horn, Coinbase has an important hurdle to clear. Bitcoin ETFs are impacting Coinbase’s core business model of charging high fees for crypto transactions. It’s clear from the data we pulled below that ETFs are not additive for Coinbase, which is the opposite of what management had promised earlier this year. Instead, Coinbase is participating at a lower percentage when comparing to the last time Bitcoin reached an all-time high.

We look at these key points below. Please note, crypto is highly volatile. The I/O Fund plans to trade Coinbase as a momentum play and this stock is for Advanced Members only. Should Coinbase break key levels, we will close the position with no hesitation. As stated, technicals carry higher importance than fundamentals for crypto, and this is true for Coinbase due to its correlation with Bitcoin. You can find critical notes from Knox on his trading plan below.

Coinbase Overview

Coinbase is best known as a crypto trading platform, which accompanies high volatility and an overabundance of competition. The company charges transaction fees for each trade with fees up to 0.50% up to 4.5%. This is quite high when you consider money managers typically charge on average a 1% recurring fee to manage an entire account. The high fees are further brought into focus when you consider that equities, including ETFs, no longer charge transaction fees.

Coinbase’s success is tied to trading volumes, as higher volumes lead to higher fees for Coinbase.  Even though we are seeing Coinbase successfully diversify their revenue, trading volume still accounts for the bulk of their revenue, and likely will for the time being. The arrival of Bitcoin ETFs is impacting Coinbase’s primary source of revenue, as ETFs offer an easy alternative to Coinbase’s fee driven trading platform. The ways in which Coinbase successfully pivots and differentiates its trading platform will be crucial for its ability to grow in the crypto space as the high trading fees will continually become disrupted.

We are seeing Coinbase’s trading platform to evolve to meet these challenges. Advanced Trade, previously called Coinbase Pro, is a platform for more advanced crypto traders that offers staking, decentralized app wallets, the ability to trade crypto derivatives and even a Coinbase credit card.

As discussed, the ability to trade derivatives on Coinbase is new this year. Derivatives are a large portion of daily crypto market activity. According to CoinDesk, derivatives were at 68% of the market in March of 2024, reaching a high of $6.18 trillion of $9.12 trillion in total trading volume. This is when Bitcoin was at all-time highs of $73,000+. Last month, CoinNess reported that derivatives reached a total of $5.22 trillion with $3.68 trillion or 70% being from derivatives trading.

Spot trading (which is your typical crypto trading) accounted for $1.54 trillion of crypto exchange volumes last month, or about 30% of volume. In March, spot trading reached a peak of $2.94 trillion for the highest monthly volume since May of 2021.

Coinbase reported a decline in spot trading volume of 28% QoQ citing volatility in crypto pricing. This quarter will be important for spot trading volume growth and derivatives growth as competitors Crypto.com have been reporting growth MoM on spot trading and up to $1 billion in open interest in derivatives, up 4X since January. Crypto.com has significantly lower trading fees of 0% to 0.075%, so it’s not too surprising it's gaining market share while Coinbase is struggling considering that spot traders will often use whichever platform offers the most competitive trading fees. Binance offers 0.1% fees on spot trading.

Coinbase One is a subscription plan that removes trading fees for $29.99 a month for the first $10,000 traded every month. This can work for investors who dollar cost average every month, yet is unrealistic for most crypto investors. One of the premiere features of Coinbase One is that it offers up to $1 million in insurance under certain terms and conditions.

The offer for no trading fees (or “gasless transactions”) is accomplished through Base, which is a Layer 2 built on the Ethereum network. Base offers 1 cent, 1 second transactions with the company currently seeing $20 billion per week in USDC transactions. By bundling hundreds of smaller transactions and processing them as one large Ethereum transaction with Ethereum as the settlement layer, Base reduces the transaction fee. The OP stack that Base is built on helps to deploy Rollup blockchains. We’ve discussed Rollups before in an Ethereum analysis as a key feature for the merge to Proof of Stake. Rollups allow hundreds of transactions to be rolled into one.

Base is compatible with the Ethereum Virtual Machine (EVM), which is the runtime layer that executes smart contracts on the Ethereum network. By being an EVM-compatible Layer 2 chain, Base offers interoperability with other EVM-compatible applications and the security and decentralization of Ethereum’s Layer 1 while improving on the Ethereum network’s scalability issues. We’ve covered the scalability issues in a previous analysis that discussed high gas fees on the Ethereum network. Due to lowering transaction fees, Base saw 300% QoQ growth in the number of transactions last quarter.

Due to Base resulting in faster transaction times, lower fees and offering compatibility with Ethereum, the Layer 2 chain is open sourced for developers to utilize these features for custom decentralized apps (dapps). The plan is to increase Base’s revenue potential after building a developer ecosystem around Coinbase’s unique ability to develop a Layer 2 that addresses gas fees: “We believe that this growth will then add users to develop products, we'll add developers and apps on Base. And that in turn will drive transaction volume and will drive down sequencer fees, and we will then see revenue as a result of those efforts.”

Coinbase is the sequencer, which manages the collection and publication of user transactions. For now, Coinbase controls the transactions, which will need to change in the future to adhere to blockchain’s ethos of decentralization. Coinbase is clearly profiting from Base with an estimated $52.5 million in the current quarter – exceeding even custodian ETF fees. By combining many transactions into one payment, Base can collect an arbitrage between the transaction fees and the network gas fees. There is also interest income from USDC on Base.

The Coinbase Developer Platform is a much larger initiative to become the backbone for financial-based decentralized apps (dapps). The platform offers APIs such as: building programmable crypto wallets to transfer crypto between two parties, or the ability to send, receive, trade and stake crypto. There are software development kits (SDKs) that help to integrate onchain AI, trading bots or automated payouts.

Bitcoin ETFs Having a Negative Impact on Coinbase

This year, the SEC approved 11 spot Bitcoin ETFs on January 10th, opening the door for more investors to gain exposure to Bitcoin without directly holding it. We stated at the time that the approval and subsequent widespread access for institutions and retail investors would shape up to be one of the most bullish fundamental moments in Bitcoin’s history.

Our paid research site has been anticipating this moment since 2019 when we stated: “One of the biggest hurdles for institutions, however, is not the idea of a world run on digital currencies, but rather the decentralization concept and the need for cryptocurrency storage. Institutional investors need to know the assets are secure, insured, and under the care of a trusted third party, per SEC rules, which requires advisers to keep client funds with a qualified custodian.”

Due to ETFs, the demand for Bitcoin has increased. Spot Bitcoin ETFs have seen a surge in net inflows, surpassing more than $30B AUM in mid-April after amassing $17B in funds in less than two months after a launch in mid-January. Trading volume on the ETFs nearly tripled in March, reaching $111 billion – for an asset class that had launched only two months prior, that’s a significant figure.

By mid-July, BlackRock Bitcoin ETF (IBIT) surpassed Invesco QQQ in year-to-date net flows despite total assets in IBIT being only a fraction of the Qs at $22 billion compared to $287.2 billion. At the time, two Bitcoin ETFs were in the top 10 including Fidelity.

In late August and early September, investors pulled roughly $1.2 billion or 3% of total assets from Bitcoin ETFs in the “worst string of outflows yet.” At eight of the eleven ETFs, this was the most consecutive days of net outflows that ETFs have experienced since the Jan 2024 launch. The 3% shows resiliency and may be leading to higher lows for Bitcoin, given the ETF outflows were not higher.

Since then, Bitcoin ETFs have seen their second consecutive week of inflows while Ethereum ETFs are seeing outflows. Since Ethereum ETFs were listed, Bitcoin has seen $5 billion of inflows while ETH products have seen $500 million of outflows (from Grayscale).

In the first eight months of the year, Bitcoin recorded its highest ever trading volume to-date, exceeding even the crypto bubble of 2021.

Source: CoinDesk and Kaiko

The most recent data from Dune shows Bitcoin ETFs having cumulative onchain holdings of $59.2 billion with BlackRock having 38% market share with $22.5 billion.

At the time of the ETFs launching, our team covered Coinbase and Robinhood in an analysis where we examined the impact of spot ETFs. Coinbase’s management team stated at the time:

Q: “Will Coinbase consider reducing transaction fees to make them more competitive with other platforms where ETFs are being traded at significantly lower prices?”

A: “We have no current plans to reduce transaction fees because of ETFs. If you just zoom out a little bit, spot ETF should be a positive catalyst for the entire crypto space. They should add credibility to the market, and we should see increased liquidity and market stability as we've seen with other asset classes such as gold.”have no current plans to reduce transaction fees because of ETFs. If you just zoom out a little bit, spot ETF should be a positive catalyst for the entire crypto space. They should add credibility to the market, and we should see increased liquidity and market stability as we've seen with other asset classes such as gold.”

It was our hypothesis at the time that lower volatility would mean fewer transactions for Coinbase, resulting in ETFs having a net impact on Coinbase.

In the Q4 call, Coinbase’s management team also asserted the ETFs will have a positive impact on the company’s revenue: “This will unlock new pools of capital to flow into the crypto space with Coinbase playing a key role here. We are earning revenue, not just on custody, but also on trading and financing.” It was also stated: “And we've always said that ETFs would be a win-win for Coinbase, and we're starting to see that play out on our platform.”

Being even more direct in the Q4 call held in February, it was stated: “For anybody worried about cannibalization, ETFs have been positive for the industry, which has been additive for Coinbase. We're seeing elevated engagement and net inflows across both retail and institutional Q1 to date” and also “ETFs are a massive way to get more capital to come in. So far, we have not seen any cannibalization. As Alesia said, it's been additive for Coinbase, and we're seeing elevated engagement and net inflows on both retail and institutional Q1 to date.”

However, the data we have pulled shows ETFs are not additive, and are instead, having a negative effect on Coinbase.

Source: I/O Fund

Description: Bitcoin hit all-time highs in Q4 2021 and again in Q1 2024. We can see from the data above that Coinbase is participating at a lower percentage of trading volume.

We would want to see higher institutional volume than the last ATH for the narrative that Coinbase is participating in institutions driving forward Bitcoin’s asset price in Q1 2024. Instead, we see it’s flat while consumer is more than 50% lower than Bitcoin’s last all-time high. The interpretation is that Bitcoin ETFs are not an additive for Coinbase at this time.

Similar to volume, we would want to see growth in institutional revenue help to offset a decline in consumer revenue.

Source: I/O Fund

Description: Transaction revenue from institutions was similar between Bitcoin’s previous all-time high, yet consumer is revealing that Coinbase’s fees are not attractive compared to the $0 trade fees from ETFs (albeit ETFs come with management fees).

The custodial fees of roughly $35 million, are up about $20 million since before the ETFs launched but do not help to absorb the combined $1.256 billion difference in transaction revenue between Bitcoin’s last ATH in Q4 2021 and Bitcoin’s ATH in Q1 of 2024.

The Bitcoin ETFs are cheaper to trade on stock trading platforms at $0 fees. As Bitcoin’s reputation has greatly increased with institutional participation, there may also be a psychological hurdle to trading and owning other cryptos, which in contrast, are high risk and have little to no institutional adoption. This would weigh on Coinbase compared to the last crypto boom as Bitcoin’s rising popularity erodes Coinbase’s value proposition to offer tokens that are hard to find on other exchanges.

Keep in mind, if this was purely a fundamentals play, the decoupling of Coinbase’s transaction revenue with the bellwether’s new all-time high would be concerning. However, Coinbase represents a means of trading crypto as a stock, and thus, even with a much lower revenue correlation to Bitcoin’s asset price, we expect Coinbase will continue to trade in lock-step with the bellwether.

ETF Custodian

Coinbase is the custodian for 10 out of 11 spot ETFs and eight of the nine approved Ethereum ETFs. In addition to being paid custodian fees, Coinbase can monetize ETFs through trading fees on the Prime product for institutions and financing for trade settlements.

We only have a two-quarter glimpse at results, yet the custodian fees are not able to offset the losses in transaction revenue. The custodial fee revenue for Q4 was $19.7 million, and grew 64% QoQ to $32.3 million in Q1. However, in Q2, the QoQ growth was only 6.8% QoQ.

Notably, this week, Blackrock has amended its custody agreement with Coinbase to require 12 hour withdrawals. According to the amendment, Coinbase Custody must now process a withdrawal of digital assets to a public blockchain address within 12 hours of receiving instructions from the Trust. This follows social media rumors that Coinbase was not purchasing Bitcoin with funds from ETFs, and was instead, issuing letters of debt. The pushback on these rumors is that Bitcoin’s price has been depressed due to other causes, and that Coinbase settles transactions on-chain even when some wallet addresses are concealed. The outcome is that there will be more liquidity and faster settlements for ETFs and institutions, and it’s likely Coinbase has to follow similar settlement times for consumers, as well.

Coinbase Financials:

Coinbase has tricky financials since it’s a crypto-related company. It would be tough to rely on fundamentals for an entry as it can change quickly in either direction. The metric that tends to track the best with Coinbase’s price action is asset prices and monthly transaction volume for crypto. However, the crypto market is largely dictated by sentiment, and we’ve found that Coinbase’s price is as an extension of this reality. The best indication of Coinbase’s trend is to track Bitcoin’s trend. They have been moving in lockstep since COIN’s IPO.

Coinbase’s forward estimates are meaningless as the estimates require predicting where crypto will trade in any given quarter. This is impossible for any analyst to do. Rather, for investors in Coinbase, importance should be placed on crypto transaction volumes, volatility indicators and pricing.

The company is also cyclical as it laps tough comps more often than a typical growth stock. By virtue of Bitcoin and crypto reaching a new high in March of 2024, the company is expected to see negative growth of (-12.08%) the following year in the March quarter of 2025.

Again, estimates are meaningless. If crypto is trading at all-time highs in March, then Coinbase will report growth – this company has seen growth of 1,100% in one quarter in 2021. During periods of crypto selloffs, the company has reported up to (-75%) revenue decline. As you can probably guess, this was in 2022.

Where Coinbase has seen a remarkable turnaround is with the cash flows, from (-51.6%) in 2022 to 27.7% in 2023. The company is prudent at keeping cash on its balance sheet with $7.23 billion in cash and $4.23 billion in debt for net cash of $3 billion. This is helpful as a stock, yet also helpful given the counterparty risks crypto exchanges carry; with nearly every competitor being private and not regulated by the SEC, the transparency of having $3 billion in cash and reporting quarterly is likely to attract institutional interest.

Revenue:

This quarter, the company is expected to report revenue of $1.28 billion for growth of 89.7%. Due to lapping tough comps, the growth rate is expected to slow considerably in early 2025 with current estimates expecting a bottom in Q1 2025 with growth of (-12.08%).

Notably, on a QoQ basis, Coinbase will be nominally up in revenue from Q4 2024 to Q2 2025 whereas it’s a tough YoY comp from Bitcoin reaching all-time highs in March of 2024.

Last quarter, Coinbase reported revenue of $1.45 billion for growth of 105%, beating estimates by 6.2%. This declined from the March quarter with growth of 112% and revenue of $1.64 billion.

If you look further out, you see that analysts shy away from predicting too much growth in either direction. This is why technicals matter quite a bit with Coinbase:

Pictured Above: Analyst estimates are essentially flat due to an inability to predict crypto trading volumes.

Key Segments:

Coinbase’s trading volume was $226 billion, up 146% YoY yet down (-28%) QoQ. This compares to $312 billion in the March quarter when Bitcoin was at all-time highs.

Coinbase’s transaction revenue was $781 million in the most recent quarter ending in June, representing growth of 138.7% YoY and a decline of (-27%) QoQ. During Bitcoin’s peak in March, the company reported transaction volume of $1.08 billion. Compare this to 2023’s transaction volumes, which were less than $500 million and often down up to (-50%).

Management stated that there is beginning to be a disconnect between revenue and volume due to wallet fees and derivatives being counted as consumer revenue yet do not contribute to consumer volume.

  • Within Transaction revenue, Consumer is the main driver at $664.8 million compared to Institutional volume of $63.6 million. The institutional percentage has been growing rapidly from $39 million in H1 2023 to $149 million in H1 2024 for 282% growth. Consumer grew 159% in the same period.
  • Base revenue has been moved to Other transaction revenue and was at $52.5 million in the current quarter. From H1 2023 to H1 2024, Base and other transaction revenue grew 145%. This means that Base revenue is higher than custodial fees.
  • Management stated they saw $210 million in transaction volume for July, pointing toward mid-$600 millions for transaction volume. This compares to $110 million for July of last year in the same period.
  • What we’ve extrapolated above is that Coinbase is not a beneficiary of Bitcoin ETFs as both trading volumes and transaction revenue are significantly lower than Bitcoin’s previous all-time highs but that institutions, derivatives and Base may (over time) help make up for consumer-related spot trading losses.

Subscription and services revenue was $599 million, compared to the guide for $525M to $600M, reporting growth of 78.6% YoY and 17% QoQ. This is an all-time high for Coinbase in this segment and helps to diversify from being dependent entirely on transaction volume. The growth was due to stablecoin revenue and a one-time blockchain validator reward of $8 million.

Within Subscription and Services:

Looking forward, subscription and services are expected to be “within a range of $530 million to $600 million.”

  • Stablecoin revenue of $240.4 million was up 59% YoY and reached an all-time high. The segment was up 17% QoQ. According to management, they are seeing almost $20 billion per week in USDC transaction volume. USDC is a 1:1 with the dollar and is used for global transfers. Advanced crypto traders and institutions will also settle a high-dollar token swap with USDC rather than token-to-token or transferring into cash to avoid high spreads and high fees.
  • Blockchain rewards was at $185.1 million, up 111% YoY and up 22.6% QoQ. This segment opens up an interesting opportunity as interest rates go lower. Staking yields are not determined by FOMC policy; instead, by the participation rate of coins being staked. As demand increases for crypto, yields will increase to entice more coins to be staked. As a non-correlated yield to traditional financial instruments, which are mostly tied to central bank policy, this creates an opportunity for portfolios to diversify incomes in an interesting way, and adoption should increase as rates go lower.
  • Interest and finance fee income of $69.4 million, up 34% YoY. This segment is tied to interest rates, as Coinbase offers loans against the coins being held in house. This is unlikely to sustain now that the FED has lowered rates. Yet, segments such as these can help stave off losses since crypto as an asset class tends to underperform in a high interest rate environment.
  • Custodial fee revenue was $34.5 million, up 103% YoY.
  • Other subscription and services revenue of $69.6 million was up 153% YoY.

Margins:

Coinbase does not provide a gross margin on their income statement. The operating margin fluctuates wildly aligned with revenue fluctuations. Last quarter, the operating margin was 23.7% compared to 46.4% in the previous quarter. A year ago, the operating margin was (-10.4%).

The operating expenses increased 26% QoQ to $1.1 billion primarily due to a loss of (-$31 million) on crypto assets held for operations in Q2 compared to a gain of $86 million in Q1 and Technology & development, G&A, sales & marketing expenses increased by $106 million due to higher USDC reward payouts, performance marketing spend, and policy spending.

Net margin last quarter was 2.5% for $36.1 million in profits. This was down considerably from 71.9% in the previous quarter with profits of 1.18 billion. In the year ago quarter, the net margin was (-13.8%) for losses of ($97.6) million.

Stock based compensation was $217 million or 15% of revenue last quarter. This is down considerably from 28% of revenue last year. However, management stated: “We expect technology & development and general & administrative expenses to increase Q/Q to $700-$750 million, largely driven by the non-linear expense recognition of our stock-based compensation.” This would imply a $40 million increase at the midpoint for $257 million in SBC or about 20% of revenue.

Earnings and EBITDA:

GAAP EPS of $0.14 last quarter compared to GAAP EPS estimates of $0.92. This compared to GAAP EPS of $4.40 last quarter and adjusted EPS of ($0.42) in the year ago quarter.

Adjusted EPS of $0.14 last quarter compared to estimates for $0.80 EPS.

Coinbase is expected to report adjusted EPS of $0.43 next quarter and GAAP EPS of $0.48. The expectation is that Coinbase remains GAAP profitable although this will depend on the level of drawdown seen in any future crypto selloffs.

The company reported adjusted EBITDA of $595.5 million for a margin of 41.1% compared to adjusted EBITDA of $1.01 billion last quarter for a margin of 61.9%.

Notably the company was adjusted EBITDA positive even in Q2 and Q3 of 2023 when it reported negative YoY revenue. At that time, adjusted EBITDA was in the range of 26% and 27% for $188.7 million and $178.3 million. When including stock-based compensation, the company would not be adjusted EBITDA positive as SBC was $199.8 million and $218.2 million, respectively, in those two quarters.  

Coinbase Additional Notes:

More on Derivatives:

As stated, derivatives are about 70% of the trading market for crypto. A derivative contract is an instrument, such as a futures contract, option or perpetual contract, whose price is based on the underlying crypto currency. Unlike spot trading, where you are buying the asset and mostly participating on the long side, derivative trading allows the owner of the contract to speculate on both up and down price movements, hedge a spot position, or add leverage to a position. This allows an investor to bet on the inevitable downtrends in crypto, and therefore allows institutions, or retail traders, to hedge their positions.

Derivatives are a key element to attract savvy retail and institutional investors. Having a user-friendly platform to trade these instruments is an important piece to Coinbase’s evolution with institutional adoption. In the medium-term, derivatives will help to compensate for the lower consumer spot trading volumes on Coinbase’s platform.

Here was a question about derivatives on the most recent earnings call:

Devin RyanDevin Ryan

Great. Thank you. Hi, Brian. Hi, Alesia I just want to ask a question about the derivatives platform and we're tracking just quarter-to-date, a continuation of building volumes there. And I know you're not breaking it out in revenues separately yet, but it sounded like it was a positive contributor in the second quarter.

Brian ArmstrongBrian Armstrong

Yes. So I'll start off and then maybe I'll hand over to you, Alesia on some of the margin questions. So just zooming out, derivatives is about 75% of all crypto trading activity by volume. And so it is the majority of trading volume. Now the take rates are lower on it, but it's really a key part of the market overall. And so I'm really glad that we are now in market, both the U.S. with Coinbase financial markets and then internationally with our international exchange as well

For Coinbase International Exchange, we also expanded our asset coverage quite a lot in Q2. We added 25 additional perpetual futures contracts. The volume has been really good today, actually, on Coinbase International Exchange. So you can check out at international.coinbase.com.

And so you can kind of just see Coinbase following this path of we're not always first-to-market, but we do it the do it the right way. We compliant way, the secure, trusted way. And so we're the trusted counterparty that many of these folks have been waiting for to enter the market. And I think that's going to pay off as a really good long-term strategy. Alesia, anything you want to add?

–End Quote

Base Layer 2

As stated above, the offer for no trading fees (or “gasless transactions”) is accomplished through Base, which is a Layer 2 built on the Ethereum network. Base offers 1 cent, 1 second transactions with Coinbase reporting there is $20 billion per week in USDC transactions taking place on the Layer 2. Base offers interoperability with other Ethereum network-compatible applications, offering the security of Ethereum’s Layer 1 while improving Ethereum’s scalability issues (primarily gas fees). Coinbase’s goal is to decentralize Base to make transactions faster while leveraging the security of Ethereum mainnet.

Total value locked (TVL) for Base was at $8 billion as of July 2024, making Base the second largest Layer 2 by TVL after Ethereum’s Dencun upgrade. Crypto has settled a bit since July, yet Base remains the second largest Layer 2 by TVL with $1.965 billion TVL. Base has seen trading volumes of up to $1 billion per day with up to 3 million transactions per day, whereas Coinbase sees about $2 billion in trading volume and Ethereum sees about 1 million to 2 million transactions per day. This means at the onset, Base exceeds Ethereum in number of daily transactions.

Base is further interesting for I/O Fund Members as the Layer 2 offers Data Streams from Chainlink, which is low-latency data that allows developers to build DeFi apps. Base also offers Chainlink VRF, the leading random number generator across Web3 with more than 21 million transaction requests completed and with a latency of about two seconds. We’ve covered Chainlink automation with up to 90% reduction in gas fees, Cross-chain Interoperability Protocol (CCIP) and Price Feeds in the past here. Our original Chainlink thesis is a must-read for anyone new to the I/O Fund, as LINK is an asset our firm has held since launching our research site in 2019.

Over the past few months, Base has been integrated by Stripe and Shopify, which is an important step forward to see onchain versions of Fortune 500 applications. Stripe uses Base for faster and cheaper money transfers by adding USDC to crypto payouts, and fiat-to-crypto for currency conversions. There is also an integration with Coinbase Wallet to allow users to purchase crypto with credit cards and Apple Pay. Stripe originally offered crypto payments in 2014 but ceased doing so in 2018.

The company has stated its focus is to build a developer ecosystem around Base first and foremost: “Our focus, as I mentioned in my opening remarks, is driving developer activity, we're driving those transaction volumes that we commented on. We're doing this by driving down fees, increasing the scalability and creating a powerful developer platform that's enabling anybody to build these onchain products.

We believe that this growth will then add users to develop products, we'll add developers and apps on Base. And that in turn will drive transaction volume and will drive down sequencer fees, and we will then see revenue as a result of those efforts.

Regulations

For institutions, there is a product called Coinbase Prime. This is a full-service prime brokerage platform, which facilitates trades as well as custodian services for large institutions. Management has stated institutions have maybe 1% to 3% of their funds in crypto. This is a low allocation, which has a lot of potential for growth. However, it is being stymied due to the lack of much needed regulations within the crypto space, which has been fraught with fraud.

For example, On November 11th, 2022, FTX, one of the largest crypto exchanges in in the world, filed for bankruptcy. At the time, it was the 18th crypto exchange to file for bankruptcy, and by far the largest, with an estimated $9 billion lost. One of the many fraudulent practices, which wasn’t limited to FTX, was that FTX would not register an internal transaction until a customer wanted their coins out of the exchange. This led to a scenario where 28 million Bitcoins had been bought with only 19.8 million in supply. Therefore, FTX created a crypto-version of a ponzi scheme that suddenly ended.

There have been a total of 20 crypto exchanges that have failed through 2024. The reason for their failures range from hacking events, mismanagement due to faulty business models, to outright fraud. We’ve even seen exchanges attempt a fractional reserves model where loans were offered based on a fraction of the total coins being held on their exchange.

These exchanges are all private businesses, except for Coinbase, so there is no way to see their financials. Furthermore, there are no mandatory audits to prevent fraud or mismanagement. When you factor in that over 50% of all cryptocurrencies have failed, it’s no wonder institutions managing millions to billions have been hesitant to explore this asset class.

As of now, Canada, UK, Switzerland, El Salvador, and China have regulations around crypto currencies. The United States is expected to follow, as the House just passed a meaningful crypto bill that defines regulations. The 200 page bill helps categorize a cryptocurrency and thus determines if should be regulated as a security by the SEC or as a digital commodity by the CFTC, through well-defined oversight. Furthermore, the bill would remove exchanges from comingling coins, as well as removing conflicts of interest, such as trading as an entity while also acting as a broker between buyers and sellers.

Whether it gets passed by the Senate is yet to be seen. With some of the world’s largest financial institutions now involved in the crypto space through Spot ETFs, it’s only a matter of time before much needed regulations will settle the nerves of money managers looking to diversify into this space. When this happens, it should act as a tailwind to Coinbase’s current business model.

Strong Cash on the Balance Sheet

As stated, free cash flow was $484.2 million or 33.4% of revenue compared to $151.1 million or 21.4% of revenue in the same period last year and 25.1% of revenue in Q1.

Cash was $7.23 billion and debt of $4.23 billion compared to $6.7 billion and $4.23 billion in Q1. The company issued $1.3 billion of convertible notes in Q1 and plans to use the net proceeds of $1.1 billion to repay the outstanding debt at or prior to maturity, depending on the market prices. Management also clarified in the earnings call that the other reasons for maintaining large cash balances were to support the ETF launches and for potential investment opportunities.

Here was a question on the earnings call:

Benjamin BudishBenjamin Budish

Hi. Good evening, and thanks for taking the question. I was wondering if you could give us an update on your balance sheet strategy. We noticed the cash build continues to really grow. And it seems like with the — the business generating cash and spending really kind of ramped down from a few years ago, there may not be as much of a need for it. So any update there? And then kind of along the same lines, you've been generating now a lot of your gross profit from interest income. And just curious, if there's any thoughts around the hedging strategy should rates start to come down. What's your kind of philosophy there? Thank you.

Alesia HaasAlesia Haas

Thanks for those questions. Yes, we're really pleased with the balance sheet strength. We are using cash, as we've mentioned in our prime financing business. A large amount of that cash was used to support the ETF launches in Q1 and Q2 with the Bitcoin ETF and now hopefully be a Ethereum ETF where you can see a lot of day-to-day or week-to-week volatility of those loan balances.

We did grow prime financing fees within the quarter. And so you can see while the balance at the end the end of quarter was down versus of Q2. We saw growth intra-quarter for those balances. So using our cash to support our products is a primary use case for us.

Technical Analysis

Coinbase appears to be working through a very large 5 wave pattern off its early 2023 low.  If this is accurate, any additional weakness will need to hold $113, and then start making higher highs to the 5th wave target between $294 – $217.

As of now, the larger correction that started in March of this year appears to be supporting this. It is a 3 wave correction that has room for one more swing lower to complete. If the current bounce fails to break over $172 – $181.50, then we can see a final drop into the $137 – $127 region. If we can instead breakout above $181.50, the odds will start supporting that the 4th wave low is in, and we will likely be in the early stages of wave 5 to new highs.

This lines up with Bitcoin’s chart, as well. The pattern off the late 2022 low appears to be an unfinished 5 wave pattern. Note the current correction. It is messy, with many overlaps, which is typical of corrections within larger uptrends. The bigger pattern suggests that we should be heading to $78,000 – $85,000 next, which would give us the minimum waves required to complete the 5 wave uptrend. Once we get to this region, or beyond. How we correct from there will determine just how high into the $100,000 region we will go.

For now, the probabilities favor a swing higher. As long as we hold $42,750 on any additional weakness, this remains our expectation from the technical patterns in both Coinbase and Bitcoin.

Conclusion:

Publicly, our firm has become known for our Nvidia AI thesis, and how we have positioned our readers for this trend before 2023. Yet behind the paywall, our premium subscribers are well aware that our active management with crypto since 2019 is equal in terms of its performance. By championing active management for tech investors — which means weighing the probabilities to cut or trim at specific times with the goal of buying lower — the I/O Fund stands out in a crowded, noisy crypto space by offering tools to navigate the volatility in this asset class.

Coinbase’s move into the derivatives market, as well as being a trusted custodian for institutional investors in the crypto space, will continue to entice institutions to their platform. Being a publicly traded company, Coinbase is the only exchange that allows its financials to be analyzed and monitored. This is crucial for investors considering the lack of FDIC and SPIC insurance in this space. These exchanges are businesses that can be mismanaged, and if this happens, all the coins being held there will be appropriated and redistributed to creditors in the event of a bankruptcy. This is a risk that Coinbase offers a solution to through their business model and publicly issued quarterly financials. This makes Coinbase stand out amongst its peers in a way that creates a moat for institutions looking to expand into the crypto space beyond the limited and costly spot ETF options.

Coinbase’s stock pattern lines up with Bitcoin, as both continue to suggest another swing higher is likely. If COIN can continue to evolve with the crypto market, and continue to lead as a trusted institutional platform, it will likely continue to appreciate with Bitcoin over time.

Given Chainlink is becoming a beneficiary of Layer 2s like Base and Arbitrum, you can expect an updated 2024 deep dive on our favorite blockchain asset coming soon!

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Posted in Blockchain, Crypto InvestmentLeave a Comment on Coinbase: Base Layer 2 and Derivatives Make a Case for A More Durable Business Model

Coinbase: Base Layer 2 and Derivatives Make a Case for A More Durable Business Model

Posted on September 27, 2024June 30, 2026 by io-fund

The I/O Fund recently entered Coinbase primarily based on technicals. Coinbase offers investors a rare glimpse into the fundamentals of a crypto-related company, yet it’s clear to see Coinbase’s fundamentals are not a reliable indicator of future performance. Rather, asset prices and volatility in crypto are more important than traditional fundamentals for Coinbase because the company charges trading fees for each transaction.

Below is a clear picture that Coinbase trades in lock-step with Bitcoin. Due to it being a publicly traded stock, Coinbase can exceed Bitcoin at crypto peaks due to the ease of trading a stock compared to crypto assets.

Coinbase has primarily been a spot trading exchange, to where crypto traders buy the asset at current market prices. In November of 2023, Coinbase added derivatives trading which will help the exchange participate in a higher percentage of trading activity. Derivatives trading is roughly 2/3 of all crypto trading compared to spot trading at 1/3. Sometimes, derivatives trading is as high as 70% or even 75% of crypto trading volume, which means for the first time this year, Coinbase is able to participate in this lucrative space.

Equally as important (if not more so), Coinbase has launched a Layer 2 called Base over the past year, which has been growing in popularity and ranks #6 across both Layer 1 and Layer 2 chains in terms of total value locked (TVL). At one point, Base surpassed Solana in its first year of launching. Base facilitates faster and cheaper transactions, which is the most critical problem for the crypto complex to solve. If Coinbase has truly solved this pain point with Base, and it appears it has, then the company is setting up a nice future for itself by not only diversifying away from asset prices and crypto volatility, but is also opening up a new revenue stream that theoretically could eclipse platform revenue once the blockchain ecosystem is fully mature.

Before we sound the bull horn, Coinbase has an important hurdle to clear. Bitcoin ETFs are impacting Coinbase’s core business model of charging high fees for crypto transactions. It’s clear from the data we pulled below that ETFs are not additive for Coinbase, which is the opposite of what management had promised earlier this year. Instead, Coinbase is participating at a lower percentage when comparing to the last time Bitcoin reached an all-time high.

We look at these key points below. Please note, crypto is highly volatile. The I/O Fund plans to trade Coinbase as a momentum play and this stock is for Advanced Members only. Should Coinbase break key levels, we will close the position with no hesitation. As stated, technicals carry higher importance than fundamentals for crypto, and this is true for Coinbase due to its correlation with Bitcoin. You can find critical notes from Knox on his trading plan below.

Coinbase Overview

Coinbase is best known as a crypto trading platform, which accompanies high volatility and an overabundance of competition. The company charges transaction fees for each trade with fees up to 0.50% up to 4.5%. This is quite high when you consider money managers typically charge on average a 1% recurring fee to manage an entire account. The high fees are further brought into focus when you consider that equities, including ETFs, no longer charge transaction fees.

Coinbase’s success is tied to trading volumes, as higher volumes lead to higher fees for Coinbase.  Even though we are seeing Coinbase successfully diversify their revenue, trading volume still accounts for the bulk of their revenue, and likely will for the time being. The arrival of Bitcoin ETFs is impacting Coinbase’s primary source of revenue, as ETFs offer an easy alternative to Coinbase’s fee driven trading platform. The ways in which Coinbase successfully pivots and differentiates its trading platform will be crucial for its ability to grow in the crypto space as the high trading fees will continually become disrupted.

We are seeing Coinbase’s trading platform to evolve to meet these challenges. Advanced Trade, previously called Coinbase Pro, is a platform for more advanced crypto traders that offers staking, decentralized app wallets, the ability to trade crypto derivatives and even a Coinbase credit card.

As discussed, the ability to trade derivatives on Coinbase is new this year. Derivatives are a large portion of daily crypto market activity. According to CoinDesk, derivatives were at 68% of the market in March of 2024, reaching a high of $6.18 trillion of $9.12 trillion in total trading volume. This is when Bitcoin was at all-time highs of $73,000+. Last month, CoinNess reported that derivatives reached a total of $5.22 trillion with $3.68 trillion or 70% being from derivatives trading.

Spot trading (which is your typical crypto trading) accounted for $1.54 trillion of crypto exchange volumes last month, or about 30% of volume. In March, spot trading reached a peak of $2.94 trillion for the highest monthly volume since May of 2021.

Coinbase reported a decline in spot trading volume of 28% QoQ citing volatility in crypto pricing. This quarter will be important for spot trading volume growth and derivatives growth as competitors Crypto.com have been reporting growth MoM on spot trading and up to $1 billion in open interest in derivatives, up 4X since January. Crypto.com has significantly lower trading fees of 0% to 0.075%, so it’s not too surprising it's gaining market share while Coinbase is struggling considering that spot traders will often use whichever platform offers the most competitive trading fees. Binance offers 0.1% fees on spot trading.

Coinbase One is a subscription plan that removes trading fees for $29.99 a month for the first $10,000 traded every month. This can work for investors who dollar cost average every month, yet is unrealistic for most crypto investors. One of the premiere features of Coinbase One is that it offers up to $1 million in insurance under certain terms and conditions.

The offer for no trading fees (or “gasless transactions”) is accomplished through Base, which is a Layer 2 built on the Ethereum network. Base offers 1 cent, 1 second transactions with the company currently seeing $20 billion per week in USDC transactions. By bundling hundreds of smaller transactions and processing them as one large Ethereum transaction with Ethereum as the settlement layer, Base reduces the transaction fee. The OP stack that Base is built on helps to deploy Rollup blockchains. We’ve discussed Rollups before in an Ethereum analysis as a key feature for the merge to Proof of Stake. Rollups allow hundreds of transactions to be rolled into one.

Base is compatible with the Ethereum Virtual Machine (EVM), which is the runtime layer that executes smart contracts on the Ethereum network. By being an EVM-compatible Layer 2 chain, Base offers interoperability with other EVM-compatible applications and the security and decentralization of Ethereum’s Layer 1 while improving on the Ethereum network’s scalability issues. We’ve covered the scalability issues in a previous analysis that discussed high gas fees on the Ethereum network. Due to lowering transaction fees, Base saw 300% QoQ growth in the number of transactions last quarter.

Due to Base resulting in faster transaction times, lower fees and offering compatibility with Ethereum, the Layer 2 chain is open sourced for developers to utilize these features for custom decentralized apps (dapps). The plan is to increase Base’s revenue potential after building a developer ecosystem around Coinbase’s unique ability to develop a Layer 2 that addresses gas fees: “We believe that this growth will then add users to develop products, we'll add developers and apps on Base. And that in turn will drive transaction volume and will drive down sequencer fees, and we will then see revenue as a result of those efforts.”

Coinbase is the sequencer, which manages the collection and publication of user transactions. For now, Coinbase controls the transactions, which will need to change in the future to adhere to blockchain’s ethos of decentralization. Coinbase is clearly profiting from Base with an estimated $52.5 million in the current quarter – exceeding even custodian ETF fees. By combining many transactions into one payment, Base can collect an arbitrage between the transaction fees and the network gas fees. There is also interest income from USDC on Base.

The Coinbase Developer Platform is a much larger initiative to become the backbone for financial-based decentralized apps (dapps). The platform offers APIs such as: building programmable crypto wallets to transfer crypto between two parties, or the ability to send, receive, trade and stake crypto. There are software development kits (SDKs) that help to integrate onchain AI, trading bots or automated payouts.

Bitcoin ETFs Having a Negative Impact on Coinbase

This year, the SEC approved 11 spot Bitcoin ETFs on January 10th, opening the door for more investors to gain exposure to Bitcoin without directly holding it. We stated at the time that the approval and subsequent widespread access for institutions and retail investors would shape up to be one of the most bullish fundamental moments in Bitcoin’s history.

Our paid research site has been anticipating this moment since 2019 when we stated: “One of the biggest hurdles for institutions, however, is not the idea of a world run on digital currencies, but rather the decentralization concept and the need for cryptocurrency storage. Institutional investors need to know the assets are secure, insured, and under the care of a trusted third party, per SEC rules, which requires advisers to keep client funds with a qualified custodian.”

Due to ETFs, the demand for Bitcoin has increased. Spot Bitcoin ETFs have seen a surge in net inflows, surpassing more than $30B AUM in mid-April after amassing $17B in funds in less than two months after a launch in mid-January. Trading volume on the ETFs nearly tripled in March, reaching $111 billion – for an asset class that had launched only two months prior, that’s a significant figure.

By mid-July, BlackRock Bitcoin ETF (IBIT) surpassed Invesco QQQ in year-to-date net flows despite total assets in IBIT being only a fraction of the Qs at $22 billion compared to $287.2 billion. At the time, two Bitcoin ETFs were in the top 10 including Fidelity.

In late August and early September, investors pulled roughly $1.2 billion or 3% of total assets from Bitcoin ETFs in the “worst string of outflows yet.” At eight of the eleven ETFs, this was the most consecutive days of net outflows that ETFs have experienced since the Jan 2024 launch. The 3% shows resiliency and may be leading to higher lows for Bitcoin, given the ETF outflows were not higher.

Since then, Bitcoin ETFs have seen their second consecutive week of inflows while Ethereum ETFs are seeing outflows. Since Ethereum ETFs were listed, Bitcoin has seen $5 billion of inflows while ETH products have seen $500 million of outflows (from Grayscale).

In the first eight months of the year, Bitcoin recorded its highest ever trading volume to-date, exceeding even the crypto bubble of 2021.

Source: CoinDesk and Kaiko

The most recent data from Dune shows Bitcoin ETFs having cumulative onchain holdings of $59.2 billion with BlackRock having 38% market share with $22.5 billion.

At the time of the ETFs launching, our team covered Coinbase and Robinhood in an analysis where we examined the impact of spot ETFs. Coinbase’s management team stated at the time:

Q: “Will Coinbase consider reducing transaction fees to make them more competitive with other platforms where ETFs are being traded at significantly lower prices?”

A: “We have no current plans to reduce transaction fees because of ETFs. If you just zoom out a little bit, spot ETF should be a positive catalyst for the entire crypto space. They should add credibility to the market, and we should see increased liquidity and market stability as we've seen with other asset classes such as gold.”have no current plans to reduce transaction fees because of ETFs. If you just zoom out a little bit, spot ETF should be a positive catalyst for the entire crypto space. They should add credibility to the market, and we should see increased liquidity and market stability as we've seen with other asset classes such as gold.”

It was our hypothesis at the time that lower volatility would mean fewer transactions for Coinbase, resulting in ETFs having a net impact on Coinbase.

In the Q4 call, Coinbase’s management team also asserted the ETFs will have a positive impact on the company’s revenue: “This will unlock new pools of capital to flow into the crypto space with Coinbase playing a key role here. We are earning revenue, not just on custody, but also on trading and financing.” It was also stated: “And we've always said that ETFs would be a win-win for Coinbase, and we're starting to see that play out on our platform.”

Being even more direct in the Q4 call held in February, it was stated: “For anybody worried about cannibalization, ETFs have been positive for the industry, which has been additive for Coinbase. We're seeing elevated engagement and net inflows across both retail and institutional Q1 to date” and also “ETFs are a massive way to get more capital to come in. So far, we have not seen any cannibalization. As Alesia said, it's been additive for Coinbase, and we're seeing elevated engagement and net inflows on both retail and institutional Q1 to date.”

However, the data we have pulled shows ETFs are not additive, and are instead, having a negative effect on Coinbase.

Source: I/O Fund

Description: Bitcoin hit all-time highs in Q4 2021 and again in Q1 2024. We can see from the data above that Coinbase is participating at a lower percentage of trading volume.

We would want to see higher institutional volume than the last ATH for the narrative that Coinbase is participating in institutions driving forward Bitcoin’s asset price in Q1 2024. Instead, we see it’s flat while consumer is more than 50% lower than Bitcoin’s last all-time high. The interpretation is that Bitcoin ETFs are not an additive for Coinbase at this time.

Similar to volume, we would want to see growth in institutional revenue help to offset a decline in consumer revenue.

Source: I/O Fund

Description: Transaction revenue from institutions was similar between Bitcoin’s previous all-time high, yet consumer is revealing that Coinbase’s fees are not attractive compared to the $0 trade fees from ETFs (albeit ETFs come with management fees).

The custodial fees of roughly $35 million, are up about $20 million since before the ETFs launched but do not help to absorb the combined $1.256 billion difference in transaction revenue between Bitcoin’s last ATH in Q4 2021 and Bitcoin’s ATH in Q1 of 2024.

The Bitcoin ETFs are cheaper to trade on stock trading platforms at $0 fees. As Bitcoin’s reputation has greatly increased with institutional participation, there may also be a psychological hurdle to trading and owning other cryptos, which in contrast, are high risk and have little to no institutional adoption. This would weigh on Coinbase compared to the last crypto boom as Bitcoin’s rising popularity erodes Coinbase’s value proposition to offer tokens that are hard to find on other exchanges.

Keep in mind, if this was purely a fundamentals play, the decoupling of Coinbase’s transaction revenue with the bellwether’s new all-time high would be concerning. However, Coinbase represents a means of trading crypto as a stock, and thus, even with a much lower revenue correlation to Bitcoin’s asset price, we expect Coinbase will continue to trade in lock-step with the bellwether.

ETF Custodian

Coinbase is the custodian for 10 out of 11 spot ETFs and eight of the nine approved Ethereum ETFs. In addition to being paid custodian fees, Coinbase can monetize ETFs through trading fees on the Prime product for institutions and financing for trade settlements.

We only have a two-quarter glimpse at results, yet the custodian fees are not able to offset the losses in transaction revenue. The custodial fee revenue for Q4 was $19.7 million, and grew 64% QoQ to $32.3 million in Q1. However, in Q2, the QoQ growth was only 6.8% QoQ.

Notably, this week, Blackrock has amended its custody agreement with Coinbase to require 12 hour withdrawals. According to the amendment, Coinbase Custody must now process a withdrawal of digital assets to a public blockchain address within 12 hours of receiving instructions from the Trust. This follows social media rumors that Coinbase was not purchasing Bitcoin with funds from ETFs, and was instead, issuing letters of debt. The pushback on these rumors is that Bitcoin’s price has been depressed due to other causes, and that Coinbase settles transactions on-chain even when some wallet addresses are concealed. The outcome is that there will be more liquidity and faster settlements for ETFs and institutions, and it’s likely Coinbase has to follow similar settlement times for consumers, as well.

Coinbase Financials:

Coinbase has tricky financials since it’s a crypto-related company. It would be tough to rely on fundamentals for an entry as it can change quickly in either direction. The metric that tends to track the best with Coinbase’s price action is asset prices and monthly transaction volume for crypto. However, the crypto market is largely dictated by sentiment, and we’ve found that Coinbase’s price is as an extension of this reality. The best indication of Coinbase’s trend is to track Bitcoin’s trend. They have been moving in lockstep since COIN’s IPO.

Coinbase’s forward estimates are meaningless as the estimates require predicting where crypto will trade in any given quarter. This is impossible for any analyst to do. Rather, for investors in Coinbase, importance should be placed on crypto transaction volumes, volatility indicators and pricing.

The company is also cyclical as it laps tough comps more often than a typical growth stock. By virtue of Bitcoin and crypto reaching a new high in March of 2024, the company is expected to see negative growth of (-12.08%) the following year in the March quarter of 2025.

Again, estimates are meaningless. If crypto is trading at all-time highs in March, then Coinbase will report growth – this company has seen growth of 1,100% in one quarter in 2021. During periods of crypto selloffs, the company has reported up to (-75%) revenue decline. As you can probably guess, this was in 2022.

Where Coinbase has seen a remarkable turnaround is with the cash flows, from (-51.6%) in 2022 to 27.7% in 2023. The company is prudent at keeping cash on its balance sheet with $7.23 billion in cash and $4.23 billion in debt for net cash of $3 billion. This is helpful as a stock, yet also helpful given the counterparty risks crypto exchanges carry; with nearly every competitor being private and not regulated by the SEC, the transparency of having $3 billion in cash and reporting quarterly is likely to attract institutional interest.

Revenue:

This quarter, the company is expected to report revenue of $1.28 billion for growth of 89.7%. Due to lapping tough comps, the growth rate is expected to slow considerably in early 2025 with current estimates expecting a bottom in Q1 2025 with growth of (-12.08%).

Notably, on a QoQ basis, Coinbase will be nominally up in revenue from Q4 2024 to Q2 2025 whereas it’s a tough YoY comp from Bitcoin reaching all-time highs in March of 2024.

Last quarter, Coinbase reported revenue of $1.45 billion for growth of 105%, beating estimates by 6.2%. This declined from the March quarter with growth of 112% and revenue of $1.64 billion.

If you look further out, you see that analysts shy away from predicting too much growth in either direction. This is why technicals matter quite a bit with Coinbase:

Pictured Above: Analyst estimates are essentially flat due to an inability to predict crypto trading volumes.

Key Segments:

Coinbase’s trading volume was $226 billion, up 146% YoY yet down (-28%) QoQ. This compares to $312 billion in the March quarter when Bitcoin was at all-time highs.

Coinbase’s transaction revenue was $781 million in the most recent quarter ending in June, representing growth of 138.7% YoY and a decline of (-27%) QoQ. During Bitcoin’s peak in March, the company reported transaction volume of $1.08 billion. Compare this to 2023’s transaction volumes, which were less than $500 million and often down up to (-50%).

Management stated that there is beginning to be a disconnect between revenue and volume due to wallet fees and derivatives being counted as consumer revenue yet do not contribute to consumer volume.

  • Within Transaction revenue, Consumer is the main driver at $664.8 million compared to Institutional volume of $63.6 million. The institutional percentage has been growing rapidly from $39 million in H1 2023 to $149 million in H1 2024 for 282% growth. Consumer grew 159% in the same period.
  • Base revenue has been moved to Other transaction revenue and was at $52.5 million in the current quarter. From H1 2023 to H1 2024, Base and other transaction revenue grew 145%. This means that Base revenue is higher than custodial fees.
  • Management stated they saw $210 million in transaction volume for July, pointing toward mid-$600 millions for transaction volume. This compares to $110 million for July of last year in the same period.
  • What we’ve extrapolated above is that Coinbase is not a beneficiary of Bitcoin ETFs as both trading volumes and transaction revenue are significantly lower than Bitcoin’s previous all-time highs but that institutions, derivatives and Base may (over time) help make up for consumer-related spot trading losses.

Subscription and services revenue was $599 million, compared to the guide for $525M to $600M, reporting growth of 78.6% YoY and 17% QoQ. This is an all-time high for Coinbase in this segment and helps to diversify from being dependent entirely on transaction volume. The growth was due to stablecoin revenue and a one-time blockchain validator reward of $8 million.

Within Subscription and Services:

Looking forward, subscription and services are expected to be “within a range of $530 million to $600 million.”

  • Stablecoin revenue of $240.4 million was up 59% YoY and reached an all-time high. The segment was up 17% QoQ. According to management, they are seeing almost $20 billion per week in USDC transaction volume. USDC is a 1:1 with the dollar and is used for global transfers. Advanced crypto traders and institutions will also settle a high-dollar token swap with USDC rather than token-to-token or transferring into cash to avoid high spreads and high fees.
  • Blockchain rewards was at $185.1 million, up 111% YoY and up 22.6% QoQ. This segment opens up an interesting opportunity as interest rates go lower. Staking yields are not determined by FOMC policy; instead, by the participation rate of coins being staked. As demand increases for crypto, yields will increase to entice more coins to be staked. As a non-correlated yield to traditional financial instruments, which are mostly tied to central bank policy, this creates an opportunity for portfolios to diversify incomes in an interesting way, and adoption should increase as rates go lower.
  • Interest and finance fee income of $69.4 million, up 34% YoY. This segment is tied to interest rates, as Coinbase offers loans against the coins being held in house. This is unlikely to sustain now that the FED has lowered rates. Yet, segments such as these can help stave off losses since crypto as an asset class tends to underperform in a high interest rate environment.
  • Custodial fee revenue was $34.5 million, up 103% YoY.
  • Other subscription and services revenue of $69.6 million was up 153% YoY.

Margins:

Coinbase does not provide a gross margin on their income statement. The operating margin fluctuates wildly aligned with revenue fluctuations. Last quarter, the operating margin was 23.7% compared to 46.4% in the previous quarter. A year ago, the operating margin was (-10.4%).

The operating expenses increased 26% QoQ to $1.1 billion primarily due to a loss of (-$31 million) on crypto assets held for operations in Q2 compared to a gain of $86 million in Q1 and Technology & development, G&A, sales & marketing expenses increased by $106 million due to higher USDC reward payouts, performance marketing spend, and policy spending.

Net margin last quarter was 2.5% for $36.1 million in profits. This was down considerably from 71.9% in the previous quarter with profits of 1.18 billion. In the year ago quarter, the net margin was (-13.8%) for losses of ($97.6) million.

Stock based compensation was $217 million or 15% of revenue last quarter. This is down considerably from 28% of revenue last year. However, management stated: “We expect technology & development and general & administrative expenses to increase Q/Q to $700-$750 million, largely driven by the non-linear expense recognition of our stock-based compensation.” This would imply a $40 million increase at the midpoint for $257 million in SBC or about 20% of revenue.

Earnings and EBITDA:

GAAP EPS of $0.14 last quarter compared to GAAP EPS estimates of $0.92. This compared to GAAP EPS of $4.40 last quarter and adjusted EPS of ($0.42) in the year ago quarter.

Adjusted EPS of $0.14 last quarter compared to estimates for $0.80 EPS.

Coinbase is expected to report adjusted EPS of $0.43 next quarter and GAAP EPS of $0.48. The expectation is that Coinbase remains GAAP profitable although this will depend on the level of drawdown seen in any future crypto selloffs.

The company reported adjusted EBITDA of $595.5 million for a margin of 41.1% compared to adjusted EBITDA of $1.01 billion last quarter for a margin of 61.9%.

Notably the company was adjusted EBITDA positive even in Q2 and Q3 of 2023 when it reported negative YoY revenue. At that time, adjusted EBITDA was in the range of 26% and 27% for $188.7 million and $178.3 million. When including stock-based compensation, the company would not be adjusted EBITDA positive as SBC was $199.8 million and $218.2 million, respectively, in those two quarters.  

Coinbase Additional Notes:

More on Derivatives:

As stated, derivatives are about 70% of the trading market for crypto. A derivative contract is an instrument, such as a futures contract, option or perpetual contract, whose price is based on the underlying crypto currency. Unlike spot trading, where you are buying the asset and mostly participating on the long side, derivative trading allows the owner of the contract to speculate on both up and down price movements, hedge a spot position, or add leverage to a position. This allows an investor to bet on the inevitable downtrends in crypto, and therefore allows institutions, or retail traders, to hedge their positions.

Derivatives are a key element to attract savvy retail and institutional investors. Having a user-friendly platform to trade these instruments is an important piece to Coinbase’s evolution with institutional adoption. In the medium-term, derivatives will help to compensate for the lower consumer spot trading volumes on Coinbase’s platform.

Here was a question about derivatives on the most recent earnings call:

Devin RyanDevin Ryan

Great. Thank you. Hi, Brian. Hi, Alesia I just want to ask a question about the derivatives platform and we're tracking just quarter-to-date, a continuation of building volumes there. And I know you're not breaking it out in revenues separately yet, but it sounded like it was a positive contributor in the second quarter.

Brian ArmstrongBrian Armstrong

Yes. So I'll start off and then maybe I'll hand over to you, Alesia on some of the margin questions. So just zooming out, derivatives is about 75% of all crypto trading activity by volume. And so it is the majority of trading volume. Now the take rates are lower on it, but it's really a key part of the market overall. And so I'm really glad that we are now in market, both the U.S. with Coinbase financial markets and then internationally with our international exchange as well

For Coinbase International Exchange, we also expanded our asset coverage quite a lot in Q2. We added 25 additional perpetual futures contracts. The volume has been really good today, actually, on Coinbase International Exchange. So you can check out at international.coinbase.com.

And so you can kind of just see Coinbase following this path of we're not always first-to-market, but we do it the do it the right way. We compliant way, the secure, trusted way. And so we're the trusted counterparty that many of these folks have been waiting for to enter the market. And I think that's going to pay off as a really good long-term strategy. Alesia, anything you want to add?

–End Quote

Base Layer 2

As stated above, the offer for no trading fees (or “gasless transactions”) is accomplished through Base, which is a Layer 2 built on the Ethereum network. Base offers 1 cent, 1 second transactions with Coinbase reporting there is $20 billion per week in USDC transactions taking place on the Layer 2. Base offers interoperability with other Ethereum network-compatible applications, offering the security of Ethereum’s Layer 1 while improving Ethereum’s scalability issues (primarily gas fees). Coinbase’s goal is to decentralize Base to make transactions faster while leveraging the security of Ethereum mainnet.

Total value locked (TVL) for Base was at $8 billion as of July 2024, making Base the second largest Layer 2 by TVL after Ethereum’s Dencun upgrade. Crypto has settled a bit since July, yet Base remains the second largest Layer 2 by TVL with $1.965 billion TVL. Base has seen trading volumes of up to $1 billion per day with up to 3 million transactions per day, whereas Coinbase sees about $2 billion in trading volume and Ethereum sees about 1 million to 2 million transactions per day. This means at the onset, Base exceeds Ethereum in number of daily transactions.

Base is further interesting for I/O Fund Members as the Layer 2 offers Data Streams from Chainlink, which is low-latency data that allows developers to build DeFi apps. Base also offers Chainlink VRF, the leading random number generator across Web3 with more than 21 million transaction requests completed and with a latency of about two seconds. We’ve covered Chainlink automation with up to 90% reduction in gas fees, Cross-chain Interoperability Protocol (CCIP) and Price Feeds in the past here. Our original Chainlink thesis is a must-read for anyone new to the I/O Fund, as LINK is an asset our firm has held since launching our research site in 2019.

Over the past few months, Base has been integrated by Stripe and Shopify, which is an important step forward to see onchain versions of Fortune 500 applications. Stripe uses Base for faster and cheaper money transfers by adding USDC to crypto payouts, and fiat-to-crypto for currency conversions. There is also an integration with Coinbase Wallet to allow users to purchase crypto with credit cards and Apple Pay. Stripe originally offered crypto payments in 2014 but ceased doing so in 2018.

The company has stated its focus is to build a developer ecosystem around Base first and foremost: “Our focus, as I mentioned in my opening remarks, is driving developer activity, we're driving those transaction volumes that we commented on. We're doing this by driving down fees, increasing the scalability and creating a powerful developer platform that's enabling anybody to build these onchain products.

We believe that this growth will then add users to develop products, we'll add developers and apps on Base. And that in turn will drive transaction volume and will drive down sequencer fees, and we will then see revenue as a result of those efforts.

Regulations

For institutions, there is a product called Coinbase Prime. This is a full-service prime brokerage platform, which facilitates trades as well as custodian services for large institutions. Management has stated institutions have maybe 1% to 3% of their funds in crypto. This is a low allocation, which has a lot of potential for growth. However, it is being stymied due to the lack of much needed regulations within the crypto space, which has been fraught with fraud.

For example, On November 11th, 2022, FTX, one of the largest crypto exchanges in in the world, filed for bankruptcy. At the time, it was the 18th crypto exchange to file for bankruptcy, and by far the largest, with an estimated $9 billion lost. One of the many fraudulent practices, which wasn’t limited to FTX, was that FTX would not register an internal transaction until a customer wanted their coins out of the exchange. This led to a scenario where 28 million Bitcoins had been bought with only 19.8 million in supply. Therefore, FTX created a crypto-version of a ponzi scheme that suddenly ended.

There have been a total of 20 crypto exchanges that have failed through 2024. The reason for their failures range from hacking events, mismanagement due to faulty business models, to outright fraud. We’ve even seen exchanges attempt a fractional reserves model where loans were offered based on a fraction of the total coins being held on their exchange.

These exchanges are all private businesses, except for Coinbase, so there is no way to see their financials. Furthermore, there are no mandatory audits to prevent fraud or mismanagement. When you factor in that over 50% of all cryptocurrencies have failed, it’s no wonder institutions managing millions to billions have been hesitant to explore this asset class.

As of now, Canada, UK, Switzerland, El Salvador, and China have regulations around crypto currencies. The United States is expected to follow, as the House just passed a meaningful crypto bill that defines regulations. The 200 page bill helps categorize a cryptocurrency and thus determines if should be regulated as a security by the SEC or as a digital commodity by the CFTC, through well-defined oversight. Furthermore, the bill would remove exchanges from comingling coins, as well as removing conflicts of interest, such as trading as an entity while also acting as a broker between buyers and sellers.

Whether it gets passed by the Senate is yet to be seen. With some of the world’s largest financial institutions now involved in the crypto space through Spot ETFs, it’s only a matter of time before much needed regulations will settle the nerves of money managers looking to diversify into this space. When this happens, it should act as a tailwind to Coinbase’s current business model.

Strong Cash on the Balance Sheet

As stated, free cash flow was $484.2 million or 33.4% of revenue compared to $151.1 million or 21.4% of revenue in the same period last year and 25.1% of revenue in Q1.

Cash was $7.23 billion and debt of $4.23 billion compared to $6.7 billion and $4.23 billion in Q1. The company issued $1.3 billion of convertible notes in Q1 and plans to use the net proceeds of $1.1 billion to repay the outstanding debt at or prior to maturity, depending on the market prices. Management also clarified in the earnings call that the other reasons for maintaining large cash balances were to support the ETF launches and for potential investment opportunities.

Here was a question on the earnings call:

Benjamin BudishBenjamin Budish

Hi. Good evening, and thanks for taking the question. I was wondering if you could give us an update on your balance sheet strategy. We noticed the cash build continues to really grow. And it seems like with the — the business generating cash and spending really kind of ramped down from a few years ago, there may not be as much of a need for it. So any update there? And then kind of along the same lines, you've been generating now a lot of your gross profit from interest income. And just curious, if there's any thoughts around the hedging strategy should rates start to come down. What's your kind of philosophy there? Thank you.

Alesia HaasAlesia Haas

Thanks for those questions. Yes, we're really pleased with the balance sheet strength. We are using cash, as we've mentioned in our prime financing business. A large amount of that cash was used to support the ETF launches in Q1 and Q2 with the Bitcoin ETF and now hopefully be a Ethereum ETF where you can see a lot of day-to-day or week-to-week volatility of those loan balances.

We did grow prime financing fees within the quarter. And so you can see while the balance at the end the end of quarter was down versus of Q2. We saw growth intra-quarter for those balances. So using our cash to support our products is a primary use case for us.

Technical Analysis

Coinbase appears to be working through a very large 5 wave pattern off its early 2023 low.  If this is accurate, any additional weakness will need to hold $113, and then start making higher highs to the 5th wave target between $294 – $217.

As of now, the larger correction that started in March of this year appears to be supporting this. It is a 3 wave correction that has room for one more swing lower to complete. If the current bounce fails to break over $172 – $181.50, then we can see a final drop into the $137 – $127 region. If we can instead breakout above $181.50, the odds will start supporting that the 4th wave low is in, and we will likely be in the early stages of wave 5 to new highs.

This lines up with Bitcoin’s chart, as well. The pattern off the late 2022 low appears to be an unfinished 5 wave pattern. Note the current correction. It is messy, with many overlaps, which is typical of corrections within larger uptrends. The bigger pattern suggests that we should be heading to $78,000 – $85,000 next, which would give us the minimum waves required to complete the 5 wave uptrend. Once we get to this region, or beyond. How we correct from there will determine just how high into the $100,000 region we will go.

For now, the probabilities favor a swing higher. As long as we hold $42,750 on any additional weakness, this remains our expectation from the technical patterns in both Coinbase and Bitcoin.

Conclusion:

Publicly, our firm has become known for our Nvidia AI thesis, and how we have positioned our readers for this trend before 2023. Yet behind the paywall, our premium subscribers are well aware that our active management with crypto since 2019 is equal in terms of its performance. By championing active management for tech investors — which means weighing the probabilities to cut or trim at specific times with the goal of buying lower — the I/O Fund stands out in a crowded, noisy crypto space by offering tools to navigate the volatility in this asset class.

Coinbase’s move into the derivatives market, as well as being a trusted custodian for institutional investors in the crypto space, will continue to entice institutions to their platform. Being a publicly traded company, Coinbase is the only exchange that allows its financials to be analyzed and monitored. This is crucial for investors considering the lack of FDIC and SPIC insurance in this space. These exchanges are businesses that can be mismanaged, and if this happens, all the coins being held there will be appropriated and redistributed to creditors in the event of a bankruptcy. This is a risk that Coinbase offers a solution to through their business model and publicly issued quarterly financials. This makes Coinbase stand out amongst its peers in a way that creates a moat for institutions looking to expand into the crypto space beyond the limited and costly spot ETF options.

Coinbase’s stock pattern lines up with Bitcoin, as both continue to suggest another swing higher is likely. If COIN can continue to evolve with the crypto market, and continue to lead as a trusted institutional platform, it will likely continue to appreciate with Bitcoin over time.

Given Chainlink is becoming a beneficiary of Layer 2s like Base and Arbitrum, you can expect an updated 2024 deep dive on our favorite blockchain asset coming soon!

Please note: The I/O Fund conducts research and draws conclusions for the Fund’s positions. We then share that information with our readers. This is not a guarantee of a stock’s performance. Please consult your personal financial advisor before buying any stock in the companies mentioned in this analysis.

Recommended Reading:

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  • Alpha & Omega Semiconductor Earnings Preview: Signs of recovery ahead?
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Posted in Blockchain, Crypto InvestmentLeave a Comment on Coinbase: Base Layer 2 and Derivatives Make a Case for A More Durable Business Model

Micron Q4: Data Center Drives Beat, Profitability Soars

Posted on September 26, 2024June 30, 2026 by io-fund

Micron beat estimates on the top and bottom line in Q4, driven by strength in data center DRAM/HBM and a record for NAND. In addition, the company’s Q1 guide far exceeded consensus estimates. Margins expanded sequentially primarily due to HBM and operating cash flow also saw significant sequential growth (whereas free cash flow was much lower due to higher capex).

The report looks to have eased concerns as there were quite a few analyst downgrades following the conferences held in August. We were net buyers in September of Micron, and so we are pleased to see the air cleared on this stock. Analysts had downgraded (and even double downgraded) the stock on comments that bit shipments would be flat to slightly up. The report revealed that despite flat DRAM bit shipments, prices increased in the mid-teens for DRAM, leading to the beat. For NAND, bit shipments increased in the high single-digit percentage and prices increased in the high single-digit percentage range. 

Management said they “forecast record revenue in fiscal Q1 and a substantial revenue record with significantly improved profitability in fiscal 2025.” Driven by strong HBM demand, management added that its “mix of data center revenue reached a record level in fiscal 2024, and we expect will grow significantly from here in fiscal 2025.”

Revenue

Micron reported revenue growth of 93% YoY to $7.75 billion in Q4, closing out FY24 with nearly 62% YoY growth to $25.1 billion in revenue. FY24’s recovery was broad-based, with DRAM and NAND both reporting substantial YoY increases.

  • DRAM revenue increased 14% QoQ to $5.3 billion in Q4, representing 69% of total revenue. For FY24, DRAM revenue totaled $17.6 billion, increasing 60% YoY.
  • NAND revenue rose 15% QoQ to a record $2.4 billion in Q4, representing 31% of total revenue. For FY24, NAND revenue was $7.2 billion, increasing 72% YoY.

For Q1, management guided for revenue growth of nearly 84% YoY to $8.7 billion at midpoint, easily surpassing the $8.2 billion consensus estimate. Q1’s guide still points to a 900 bp QoQ deceleration with Q4 remaining Micron’s peak growth quarter.

Current estimates for FY25 revenue sit at $37.6 billion for 50% YoY growth, though it’s likely that this gets revised higher in the coming days based on the size of Q1’s guidance beat.

Margins

Micron topped all of its guided figures for margins in the fourth quarter, with gross, operating and net margin all significantly expanding sequentially. For Q1, this expansion is set to continue, with management guiding for operating margin to expand to the mid to high 20% range.

  • GAAP gross margin in Q4 was 35.3%, ahead of management’s guide for 33.5% and expanding from 26.9% the prior quarter. Adjusted gross margin was 36.5%, expanding from 28.1% last quarter and (9.1%) in the year ago quarter. Management said that in Q4, “HBM remained accretive to both DRAM and overall company gross margins.”
  • For Q1, management guided GAAP gross margin of 38.5%, implying another sequential expansion of ~320 bp. Adjusted gross margin was guided at 39.5%, Management emphasized that Q1’s gross margin “is projected to improve sequentially primarily on better pricing and portfolio mix.”
  • GAAP operating margin in Q4 was 19.6%, up 9 percentage points sequentially, and ahead of management’s guide for 17.8%. Adjusted operating margin was 22.5%, up from 13.8% last quarter and ahead of the guide for 20.5%.
  • For Q1, management’s guided operating expenses implied a GAAP operating margin of 24.6%, another 5 percentage point sequential increase.

Micron closed out FY24 with significant improvement in both gross and operating margin:

  • FY24 GAAP gross margin was 22.4%, up more than 31 points from (9.1%) in FY23.
  • FY24 GAAP operating margin was 5.2%, up more than 42 points from (37%) in FY23.

Net margins also significantly improved due to the increased leverage.

  • For Q4, net margin was 11.4%, up from 4.9% last quarter as net income rose more than 167% sequentially to $887 million. Adjusted net margin was 17.3%, up from 10.3% last quarter.

EPS

GAAP EPS was $0.79 in Q4, up more than 163% QoQ from $0.30 in Q3 and a substantial improvement from a loss of ($1.31) in the year ago quarter. Adjusted EPS was $1.18, up 90% QoQ from $0.62 in Q3 and again a significant improvement from ($1.01) in the year ago quarter. Management said this was “driven by better pricing and profitability.”

What these numbers reflect is that Micron has officially bottomed on EPS and is firmly returning to positive growth.

Micron guided for sequential growth to continue, expecting Q1’s GAAP EPS to be $1.54, up nearly 95% QoQ. Adjusted EPS was guided at $1.74, well ahead of estimates for $1.59, and it’s likely to push Q2 and Q3 estimates higher as well.

Cash Flows and Balance Sheet

Micron grew operating cash flow by nearly $1 billion QoQ; however, increased capex kept adjusted FCF growth to a minimum.

Q4’s operating cash flow was $3.41 billion, or 44% of revenue, up from $249 million or 6.2% of revenue in the year ago quarter. For FY24, operating cash flow totaled $8.51 billion, increasing more than 445% YoY from $1.56 billion in FY23.

Adjusted FCF in Q4 was just $323 million, or 4.2% of revenue, compared to $425 million in Q3, as Micron spent ~$3.1 billion on capex in the quarter. For FY24, adjusted FCF was minimal, at $386 million, or 1.5% of revenue, though this was a stark contrast to FY23’s adjusted FCF of ($5.44 billion), or (37.1%) of revenue.

It was stated capex would be meaningfully higher in fiscal 2025 at mid-30s percentage range to support “growth in both greenfield fab construction and HBM” investments, as Micron works to build out its fabs in New York and Idaho in FY25 and FY26. Capex totaled $8.1 billion in FY24, but management expects FY25 capex to be “meaningfully higher and at around the mid-30s percentage range of revenue,” suggesting capex easily surpasses $10 billion next year.

The company stated wafer capacity is below peak levels, partly due to an increasing mix of HBM that is reducing DRAM supply for traditional products. The capex spending is needed to continue to supply HBM. There is also a low-capex environment for NAND at the moment, and it was stated this would ultimately lead to healthy NAND supply-demand dynamics.

Inventory was $8.9 billion, or 158 days, and Micron expects to draw down this inventory to support revenue growth in FY25.

Cash, equivalents and investments totaled $9.16 billion, while debt totaled $13.4 billion.

Business Units

Compute and Networking (CNBU) revenue was $3.02 billion, up 14% QoQ and 152% YoY. This was significant growth acceleration, up from 85% YoY in Q3 and 59% YoY in Q2.

Management said that “data center server DRAM achieved a quarterly revenue record in fiscal Q4, driven by strong demand for high-capacity solutions as well as our continued ramp of HBM.” The company expects HBM TAM to grow from $4 billion in CY23 to over $25 billion in CY25. As a percent of overall DRAM, HBM will grow from 1.5% in 2023 to 6% in 2025. Micron reiterated it will be able to capture a similar market share of HBM as it has in DRAM, which was 21.5% of market share in early 2024.

Mobile (MBU) revenue increased 18% QoQ to $1.88 billion, though YoY growth of 55% decelerated from 94% YoY in Q3. Management said the growth was driven by seasonal product launches.

Micron provided a hint as to when investors can expect to see AI PC growth, which looks to be H2 2025: “PC unit volumes remain on track to grow in the low single-digit range for calendar 2024. We expect unit growth to continue in 2025 and accelerate into the second half of calendar 2025 as the PC replacement cycle gathers momentum with the rollout of next-gen AI PCs, end of support for Windows 10 and the launch of Windows 12.”

The timing was repeated again: “So that too plays a factor. And of course, I would just like to remind you that we have pointed out that overall smartphone and PC, unit growth will be occurring in 2025 and of course, increasing penetration of AI phones and second half, that acceleration, that growth will be obviously stronger than the first half.”

On average, PCs require 12GB of DRAM today with AI PCs needing a minimum of 16GB and up to 32 to 64GB of DRAM. We covered this previously here. Micron’s LP series for PCs offer are low-power DRAM modules that provide 60% lower power and up to 70% better performance with 60% space savings.

Mobile devices require 8GB of DRAM whereas AI-powered mobile devices will come with 12GB to 16GB of DRAM.

Storage (SBU) revenue rose 24% QoQ and 127% YoY to $1.68 billion, with the YoY growth rate accelerating from 116% in Q3. Management said the growth was “led by data center SSD, which reached a quarterly revenue record,” while NAND storage reached a record for the full year.

Embedded (EBU) was the only segment to record a sequential decline in Q4, with growth falling (9%) QoQ but rising 36% YoY to $1.17 billion. Management added that the “automotive segment achieved a new fiscal year revenue record for the fourth consecutive year.”

Earnings Call and Addt’l Commentary

The company stated they are upgrading their expectation for calendar 2024 industry DRAM bit demand growth to be in the high-teens percentage range. It was further stated: “In calendar 2025, we expect both DRAM and NAND industry bit demand growth to be around the mid-teens percentage range.”

The company also stated: “We see increasing DRAM and NAND content both in traditional as well as AI servers” and that “our mix of data center revenue reached a record level in fiscal 2024 and we expect will grow significantly from here in fiscal 2025.”

There is a slight slowdown in management’s guide for DRAM for next year, as it’s being stated as growth in the high teens is expected for 2024 while growth in the low teens is expected for 2025. As we noted in our pre-earnings writeup, the slowdown is coming from AI PCs and smartphones.

“At 2024, we have increased the outlook to high teens based on the strength in the data center. And 2025, as we look at it, just keep, in fact — mind two factors: one is we are now comparing it to the higher base of 2024, which has gone to high teens. So that, of course, impacts the percentage of the '25. And second piece is that, as we have noted, that smartphone and PC, which at the end market level are continuing to do fine. 

But given for the 3 factors that we have mentioned in our earnings call script that the customers built some inventory. The sell-in is somewhat less than their sellout in terms of memory, and we have said that by spring of 2025, we expect in PCs customer inventory levels to get to healthier levels versus now, and these will continue to improve.”

Another factor is that HBM3e is leading to wafer capacity constraints. It has a 3:1 trade ratio, which which means it takes 3X more wafers to produce HBM3e.

High Bandwidth Memory (HBM)

We’ve covered the importance of HBM for some time now, which you can reference here.

This quarter, Micron started shipments of HBM3e which are 12 high, 36-gigabyte units. These units provide up to 20% lower power consumption and 50% higher DRAM capacity than its competitors’ 8 high, 24 gigabyte solutions. As Micron stated during the call when asked about competitors, the company’s strategy is to provide the best HBM on “planet earth.” Micron will continue to increase its mix of HBM3e 12 in early CY2025.

As GPUs move toward a 1-year road map, so will Micron. HBM4 will be shipping in 2026.

Last quarter, the stock sold off following commentary that Micron’s HBM is contracted 6-8 quarters out. The company reiterated this again, yet it’s clear the exact contract pricing details are not being disclosed. This was evident in the beat in today’s report. 

This was an important statement regarding next year’s setup:

“And we are looking at strong momentum, not just with HBM.  We have talked about multiple billions of dollars of revenue that we target to generate in our fiscal year 2025 from high-capacity DRAM modules as well as LP memory in data center, so these are all the elements that point to strong demand trends and demand trends driven by AI in data center as well as in smartphone and PCs where more and more content is required in an environment where the leading-edge supply is today tight. 

So I think the opportunity is tremendous, and we see healthy demand supply balance and a constructive environment for our financial performance in fiscal 2025. And that's why we say with confidence that we'll deliver a substantial revenue record in fiscal year 2025, the significant improvement in our profitability as well.”

DDR5 SDRAM memory products reduce power consumption while doubling bandwidth. The lower power DRAM is assisted with LP5 solutions that increase speed while lower power requirements. The LPDDR designs were originally designed for mobile yet have been optimized for AI server infrastructure.

Data Center Storage up 300% in One Year

Micron’s strategy for vertical integration of SSDs has resulted in Micron seeing a “quarterly revenue record” of over $1 billion in revenue and data center SSDs in fiscal Q4. The company stated “our fiscal 2024 data center SSD revenues more than tripled from a year ago.”

Conference Commentary

As we covered in our pre-earnings report, conferences in August led to many analysts downgrading Micron. The first question on the call was about the confusion this caused.

Timothy Arcuri   UBS Investment Bank

Mark, I guess my first question is, some of the assumptions in guidance. I think you've been saying kind of on the conference circuit that bits would be pretty flat in fiscal Q1 for both DRAM and NAND. Is that what you're still assuming so that most of the increase in the revenue is basically pricing? Is that correct?

Mark Murphy   Executive VP & CFO

Tim, what we see now and we had provided a slight update in August, but we now see that DRAM bits, we expect to be up somewhat higher than what we had said before. We had said before they were going to be flat and then we revised that to flat to slightly up, and in this latest guide, we now view DRAM to be up somewhat higher from that. NAND bits, we expect to be sequentially flattish.”

Conclusion:

Micron had a fantastic earnings report and is sitting at an attractive valuation, which cannot be said for many AI stocks right now. The company has been doubted by Wall Street for most of the year, and yet this report easily places Micron as a top choice among AI peers as we head into 2025.

It makes sense Wall Street would doubt Micron in CY2024 as the company had several millions in HBM3 revenue this year, with is low compared to some of the heavyweights. Yet, the AI-related portion of its revenue is not only going to ramp next year, but it’s also accretive to margins. It’s this last piece that is key as AI markets such as custom silicon or AI servers have the opposite effect and weigh on margins. Keep this in mind as we move along.

We are glad to have Micron in our portfolio and are looking forward to building a bigger position in time.

Recommended Reading:

  • Micron FQ4 Earnings Preview: Attractive Valuation, Look for Non AI-Related Weakness
  • Optical Interconnects Overview: Strong Growth Expected Ahead
  • Broadcom Fiscal Q3: AI Revenue Outlook Raised, but Valuation is Stretched
  • Dell Q2: AI Server Shipments Rise 82% QoQ; Pipeline Preparing for Blackwell
Posted in AI Stocks, SemiconductorsLeave a Comment on Micron Q4: Data Center Drives Beat, Profitability Soars

Micron FQ4 Earnings Preview: Attractive Valuation, Look for Non AI-Related Weakness

Posted on September 24, 2024June 30, 2026 by io-fund

Micron will release tomorrow with management expecting revenue to grow 89.5% YoY to $7.6 billion at the midpoint, an 8-point acceleration from last quarter. The stock is up 10% YTD at the time of writing, below the 80% returns in mid-June. The stock has given up much of its gains due to the potential fears of a temporary slowdown in the non-high-bandwidth memory market and concerns that Micron’s upside is limited due to contracted pricing for the next 6-8 quarters. We covered this here stating: “The blemish in the report is the commentary that HBM is sold out for calendar 2024 and 2025, with “pricing already contracted for the overwhelming majority of our 2025 supply.”

The slowdown in non-HBM memory is expected to be from smartphone and PC customers who “have built some inventory,” according to comments from Micron’s management team at the Deutsche Bank conference in late August. Taken out of context, it could be a dire comment yet the overall tone was bullish, citing the increase in non-HBM inventory is to protect smartphone and PC OEMs from higher pricing and tighter supply due to the outsized demand for AI-related HBM. Essentially, the message is that AI-related HBM is going to crowd out non-HBM in the supply chain.

The not-so-bullish commentary from the DB conference is more economic related as Micron stated: “We have shared before and as is well known in the broad industry reports that consumer retail channels, industrial, automotive tend to be relatively weaker right now, as well as China has some weakness too.” China is important to Micron making up 25% of its revenue. The company had stated earlier at a Keybanc conference: “In China, economic activity and consumer buying patterns are weak or uneven at best, depends on the market.”

Previous commentary in the earnings call and also during Keybanc’s conference hint that Micron is expecting several hundred million of HBM revenue in fiscal ’24, multibillion HBM revenue in fiscal 2025 and “have HBM consistent with our DRAM share at some point in calendar '25.” However, the discussions regarding Q1 in the DB conference were a lackluster, stating: “So when we look at all of these factors and all of these trends, when we look at our FQ1 we think our bit shipments will be somewhat flattish to slightly up in FQ1 versus FQ4.” This has caused some analysts to downgrade the stock as the expectation is non-HBM is weighing on HBM if we will see bit shipments “only slightly up.”

When the analysts downgraded the stock, some of them cited an oversupply of HBM. We see no evidence of an oversupply of HBM, and in fact, Micron has stated the opposite, stating they are seeing “robust demand trends” and “these trends of AI and the tight supply environment we see that continuing in 2025 as well. And that's why we say that, we will have substantial revenue record in 2025, and of course, robust profitability in 2025 as well versus 2024.”

We will see if Micron’s call has any changes in tone on HBM-related inventory; it’ll be important to carefully distinguish what is causing the underperformance on bit shipments as Micron is trading at an attractive valuation – nearly 50% lower than its historic average.

The trim today is not Micron-specific rather Knox has not been liking SMH’s recent price action. We are sending a clear message to our members that we aren’t buyers of AI semis at this moment as we think there will be opportunities to buy lower. We aren’t heavy sellers either, although we have a strategy where this could be the outcome over the next 30-60 days. Real wealth is made during drawdowns, not by perfectly timing a top. We’ve covered this extensively in our webinars and have a thought leadership article on the free side coming out by Knox next week on the topic, as well.

Revenue:

FQ4 revenue is expected to accelerate to 90.5% YoY growth to $7.64 billion and decelerate to 75% growth to $8.27 billion in Q1 FY2025.

Last quarter, revenue grew by 81.5% YoY to $6.81 billion, up from 57.7% in FQ2 due to strong AI demand. The company reported a record high data center revenue mix with 50% sequential data center revenue growth.

  • DRAM revenue grew by 13% QoQ to $4.7 billion, helped by about a 20% price increase and offset by a decline in bit shipments in the mid-single digits.
  • NAND revenue grew by 32% QoQ to $2.1 billion, helped by an increase in bit shipments in the high single digits and a price increase of about 20%. Management expects DRAM shipments to be flattish and NAND shipments to increase slightly in FQ4.
  • Analysts expect FY2024 revenue to grow 63.3% YoY to $25.37 billion.
  • FY2025 revenue is expected to grow 50.2% YoY to $38.10 billion and 16.3% to $44.30 billion in FY2026.

Margins

Margins experienced a steep cyclical low and now appears to have bottomed. In FQ2, the company achieved its goal of positive adjusted operating margin a quarter ahead of expectations, primarily helped by the recovery in DRAM and NAND pricing.

Management expects gross margin expansion to continue, helped by price and also higher-value products like HBM, high-capacity DIMMs (dual in-line memory modules), and SSDs. The guide for FQ4 is 34.5%.

Management reiterated the sequential improvement in adjusted gross margin for the November quarter as they said in the KeyBanc forum, “On gross margin, sequentially August to November quarter, we expect gross margins to be up around 200 — or up around a couple of hundred basis points, consistent with what we've said before.”

  • FQ3 gross margin was 26.9%, up from (-17.8%) in the same period last year and 18.5% in FQ2. Management guide for FQ4 is 33.5%. The adjusted gross margin was 28.1%, up from (-16.1%) in the same period last year and 20% in FQ2.

The improvement in gross margin was due to higher pricing, product mix, and cost reductions.

  • Operating margin was 10.6%, up from (-46.9%) in the same period last year and 3.3% in FQ2. Management guide for FQ4 is 17.8%. Adjusted operating margin was 13.8%, up from (-39.2%) in the same period last year and 3.5% in FQ2.

Management guide for FQ4 is 20.6%. The operating expenses were at the lower end of the guidance due to cost controls and operational efficiencies. Management expects operating expenses to increase sequentially in FQ4 “due to an increase in R&D program expenses and a nonrecurring Q3 asset sale gain contemplated in our Q3 guidance.”

  • Net income was $332 million or 4.9% of revenue compared to a net loss of (-$1.9 billion) or (-50.5%) of revenue in the same period last year. Adjusted net income was $702 million or 10.3% of revenue compared to an adjusted net loss of (-$1.57 billion) or (-41.7%) of revenue in the same period last year.

EPS 

FQ3 GAAP EPS came at $0.30 and beat estimates by 1.2%. Adjusted EPS was $0.62, up from an adjusted loss per share of (-$1.43) in the same period last year. The company beat adjusted EPS estimates by 17.3%, which was helped by higher prices, higher margin product mix, and cost controls.

  • EPS guide for FQ4 is $0.61 at the midpoint and the adjusted EPS guide of $1.08 at the midpoint. Analysts expect adjusted EPS of $1.11 for FQ4 and $1.59 for FQ1.
  • Analysts expect FY2024 adjusted EPS of $1.23, up from an adjusted loss per share of (-$4.45) for the FY2023.
  • For FY2025 they expect adjusted EPS to grow 636% YoY to $9.04 and 34.5% YoY to $12.16 for FY2026.

Cash Flow and Balance Sheet

 FQ3’s operating cash flow was $2.48 billion or 36.4% of revenue compared to $24 million or 0.60% of revenue in the same period last year and 20.9% of revenue in FQ2. The cash flows have improved with higher revenue and profitability.

FQ3 adjusted free cash flow was $425 million or 6.2% of revenue compared to (-$1.36B) or (-36.1%) of revenue in the same period last year and (-$29 million) or (-0.50%) of revenue in FQ2. Capex was $2.1 billion in FQ3 compared to $1.4 billion in the same period last year and $1.2 billion in FQ2.

Management expects positive adjusted free cash flow in FQ4 despite a capex of about $3.0 billion. Capex would be $8.0 billion in FY2024, up from $7.0 billion in FY2023.

Management expects capex to rise around 35% of FY2025 revenue, i.e., comes to about $13 billion and the company is able to support it due to higher profitability. Mark Murphy, CFO, said in the FQ3 earnings call, “Record revenue and significantly improved profitability in fiscal 2025 will help support average quarterly CapEx in fiscal 2025 to be meaningfully above the fiscal Q4 2024 level of $3 billion. We expect CapEx around mid-30%s range of revenue for fiscal 2025, which will support HBM assembly and test equipment, fab and back-end facility construction, as well as technology transition investment to support demand growth.

As noted earlier, half or more of the expected CapEx increase in fiscal 2025 will be to support U.S. greenfield fab construction. As we have noted in the past, the CHIPS grants, ITC, and state incentives offset a significant portion of the U.S. fab CapEx investments.”

  • Inventory was $8.5 billion or 155 days compared to $8.4 billion or 160 days of inventory in FQ2. Management expects days of inventory to decline in FY2025. (This also runs counter to what some analysts downgrades are stating, which is there’s an oversupply when management comments point to the opposite).
  • Cash and investments were $9.22 billion and debt of $13.258 billion compared to $9.7 billion and $13.7 billion in FQ2. In FQ3, the company repaid $650 million in debt and paid $128 million in dividends. The company had also announced in early August that they might resume the stock repurchase program.

Business Units

Compute and Networking Business Unit (CNBU) grew by 18% QoQ and 85% YoY to $2.57 billion. This was an acceleration from 59% in FQ2.

DRAM data center revenue more than doubled year-over-year. We foresee this segment being strong yet there could be potential weakness in client-related compute.

Mobile Business Unit (MBU) grew by 94% YoY and down (-1%) sequentially to $1.59 billion due to a planned volume decline, which was partially offset by improved pricing. Look for potential weakness here given comments that the oversupply maybe coming from mobile and PCs.

Embedded Business Unit (EBU) grew by 42% YoY and 16% sequentially to $1.29 billion helped by record revenue in automotive. Look for weakness here given commentary about automotive, industrial and consumer-related end markets.

Storage Business Unit (SBU) revenue grew by 116% YoY and 50% sequentially to $1.35 billion with growth in all end markets. The company achieved record data center SSD revenue, which nearly doubled sequentially. There could be potential weakness in the client storage segment depending on PC demand.

Other noteworthy points to watch

HBM Revenue

The company reported HBM revenue of over $100 million in FQ3 and expects to generate several hundreds in FY2024 and multiple billions in FY2025. They also expect the HBM market share to match the overall DRAM market share sometime in CY2025, which they mention is in the low 20s. UBS expects HBM revenue to be $5.61 billion in FY2025 from the expected $603 million in FY2024.expects HBM revenue to be $5.61 billion in FY2025 from the expected $603 million in FY2024. Management said HBM revenue is accretive to FQ3 margins and expects this trend to continue.

HBM and NAND CAGRs

HBM’s bit growth CAGR is expected to remain strong and be above 50% for the next few years.

“Well, as we have said before, that we see the CAGR for HBM growth — in terms of bit growth CAGR to be well above 50% over the next few years. So certainly, HBM is a strong growth driver. And again, as we increase our mix of HBM going forward, it will, of course, be continuing to be accretive to our financial performance, including margins. And we are pleased that with the strong performance that we have we are sold out for '25 as well with overwhelming part of our output already committed in terms of pricing.”

During the Q&A, it was pointed out that the forecast for NAND CAGR growth was lowered from “the low 20s” to a new forecast of “growth in the high teens.” Management’s response was the following:

“And I'll also tell you that we basically revise the base here for the CAGR that we used. So this time, the CAGR that we used, we use the base year of 2023. And in 2023, as you know, we had bit demand growth in NAND that was higher, meaningfully higher than the CAGR. So that, of course, the larger base of 2023, just somewhat changed our outlook on the overall CAGR.”

AI PCs and Smartphones

The company expects to benefit from the AI PCs and smartphones. They expect AI PCs to have 40% to 80% more DRAM content than today’s PCs. Similarly, smartphones that are AI enabled will have about 50% to 100% more content compared to phones released last year. In the near-term, management has stated there could be an oversupply. We expect there to be more questions on the call about this comment from the DB conference. “PC and smartphone customers have built additional inventories due to the rising price trajectory, the anticipated growth in AI PCs and AI smartphones, as well as the expectation of tight supply as an increasing portion of DRAM and NAND output is dedicated to meeting growing data center demand.” There are additional China-related concerns for mobile and PCs.

Valuation 

On the top line, Micron is trading above it’s historic valuation at 4.85 compared to its five-year P/S ratio is 3.58. Notably, since the FY ends in August, the P/S ratio will be adjusted post-results and is trading at a 2.7 forward PS. The forward PS is the one that will reflect the valuation post-results.

On the bottom line, the forward PE Ratio of 10.5 will take effect post-results and is about 20% to 30% lower than the 3-year and 5-year median. These valuations are tricky because AI stocks are being re-rated. For example, Nvidia and AMD are trading about 50% lower than their averages, and yet are struggling to breakout. We think it’s important to weigh what the stocks have been trading at since the AI boom, or about early 2023. Micron has been trading considerably higher since the AI boom and we continue to watch the stock for the right entry over the next few months.

Conclusion

Micron is setting up to be an excellent buy over the next few months, yet we continue to watch the horizon to buy AI stocks at lower prices. Micron is perhaps the more complicated AI semi to time as it’s trading at an attractive valuation yet it’s also a bellwether of sorts for the economy. There could be a scenario where any AI bullishness is overshadowed by consumer-facing segments. Notably, the margins are expected to continue improving in FY2025 and we foresee Micron being more defensible than others when it comes to economic headwinds, albeit less defensible should we see China-related headwinds.

We are patient. We have time on our side. We will participate if Micron does well tomorrow, yet we also trimmed should Micron not do well tomorrow. Look for the I/O Fund to lean into defensibility while acknowledging inning one from AI (which started in 2023) has been a crazy-good run and our goal is to load up for inning number two in the coming months.

Royston Roche and Beth Kindig, Equity Analysts at the I/O Fund, contributed to this article.

Recommended Readings:

  • Micron Q3: “Multiple Billions” In HBM Revenue Next YearMicron Q3: “Multiple Billions” In HBM Revenue Next Year
  • Micron Q3 FY2024 Earnings Preview: Strong rebound led by AIMicron Q3 FY2024 Earnings Preview: Strong rebound led by AI
Posted in Ai Platforms, Semiconductor StocksLeave a Comment on Micron FQ4 Earnings Preview: Attractive Valuation, Look for Non AI-Related Weakness

4 Things Investors Must Know About AI

Posted on September 24, 2024June 30, 2026 by io-fund
4 Things Investors Must Know About AI

This article was originally published on Forbes onForbesForbes on Sep 20, 2024, 12:44am EDT

Last week was quite an important week for tech and AI investors, with Goldman Sachs hosting its Communacopia and Technology Conference featuring executives from the largest tech and semiconductor companies. Rarely have so many tech CEOs gathered to discuss their thoughts on AI, where the industry currently stands, and what lies ahead.

To have the CEOs of trillion-dollar companies speaking in unison on AI’s potential and investing in AI is either a staggering coincidence — or they have important insights pointing to the same conclusion, which is that AI’s primary risk is for companies who are not early enough to capture it.

We’re still in the early innings of AI, but the pace of transformation that AI is driving is unlike any other technology seen before, and that was evident at Communacopia. Below, I dig in to the four things that investors must know about AI.

1) Tech CEOs Agree the AI Revolution is Here

The AI revolution has arrived, sparked in full-scale by Nvidia’s Hopper series GPUs and OpenAI’s release of ChatGPT in late 2022. Not even two years later, Nvidia continues to sell GPUs at an unbelievable clip, with Big Tech unable to procure enough GPUs to meet internal project needs and external enterprise demand in the cloud.

AWS CEO Matt Garman explained that he truly believes AI “is a technology that over time is going to completely change almost every single industry that all of us focus on and think about and work on every single day to some level.” Garman added that the early AI use cases we’re seeing proliferate at the moment are just scratching the surface. ServiceNow CEO Bill McDermott agrees, stating that he also believes “AI is the well spring of opportunity in the global economy.”

Nvidia CEO Jensen Huang echoed this, saying that “we're now in this computer revolution. … Generative AI is not just a tool, it is a skill. And so this is the interesting thing. This is why a new industry has been created. And the reason for that is, if you look at the whole IT industry, up until now, we've been making instruments and tools that people use. For the very first time, we're going to create skills that augment people. And so that's why people think that AI is going to expand beyond the trillion dollars of data centers and IT, and into the world of skills.”

Despite the immense potential AI holds, in the present, the AI industry is only just at the nascent stages of this revolution. Snowflake CFO Mike Scarpelli explained that he thinks “it's still in the very early innings,” but “the reality is that very few are using it en masse today.” Bringing AI to the masses, when adoption of AI is commonplace, is when the industry will unlock things previously seen as impossible or extremely costly, according to Microsoft CTO Kevin Scott. Scott believes we could be 5 to 10 years out from seeing what developers are capable of and what applications can be created.

Sign up for I/O Fund's free newsletter with gains of up to 2600% because of Nvidia's epic run – Click hereClick here

2) AI to Have a $10 Trillion Impact on the Economy

By heralding in a new wave of innovation and unlocking endless possibilities to advance technology currently available today, AI is expected to have a multi-trillion-dollar impact on the global economy in the coming decades.

ServiceNow CEO Bill McDermott discussed AI’s profound potential at Communacopia: “There are researchers that independently have said it will have an $11 trillion impact on the economy in the next handful of years. I believe that may be true. Maybe it's [$10 trillion], maybe it's [$9 trillion], maybe it's [$8 trillion], but it's going to be big.

And the reason for that is there is so much inefficiency. There is so much waste. There is so much human potential that can be activated by taking the soul crushing work away from people and unleashing them to do things that really matter that can help companies grow and prosper. And that has never been factored into the equation as people think about technology on a day-to-day basis, that's why we're working so hard to tell them the story.”

For context, the mobile economy, which delivered a handful of the trillion-dollar tech behemoths of today, added approximately $5.7 trillion to the global economy in 2023, up from $5.2 trillion in 2022, according to GSMA. McDermott sees AI having up to double the economic potential of mobile, though other industry forecasts point to a much larger long-term impact from AI.

According to McKinsey, generative AI is estimated to add up to $7.9 trillion to the global economy annually when combining new generative AI use cases and gen-AI related productivity gains, according to research from McKinsey, Overall, McKinsey estimates the AI economy could add $25.6 trillion to global GDP over the next couple of decades.

AI's Potential Impact on the Global Economy, $Trillion

Source: I/O Fund

Through 2030, AI’s cumulative economic impact is projected to be nearly $20 trillion, according to IDC – with every new dollar spent on AI services and solutions expected to generate $4.60 in “indirect and induced effects.” This is a massive technological shift and value add globally to be realized only five years from now and eight years following AI’s breakthrough moment with ChatGPT.

For a closer look at AI’s potential and how to invest in this mega-trend, read Investing In AI with Beth Kindig: 1-Hour Video Interview.Investing In AI with Beth Kindig: 1-Hour Video Interview.

3) Productivity Gains are Already Being Seen

Even with the view that AI is still in the early stages of its growth curve and barely scratching the surface of its potential, companies are already discovering and showcasing productivity gains, a cornerstone of how AI can quickly become a multi-trillion dollar economic force.

Google Cloud CEO Thomas Kurian explained how Google is leveraging generative AI features in Google Workspace to drive significant productivity gains for customers: “For example, if you're in a hospital, as a hospital company, nurses are the critical path. Because nurses determine how many hospital beds you can have, they control the revenue of the organization. So we work with nursing staff, for example, to do live hand-off of patients. It saves about 6 hours in a 24 hour day. And one of the leading hospitals was talking at a conference today that they estimate when rolled out, it will save them $250 million.”

Kurian also discussed how AI is improving efficiency and productivity in the insurance industry, highlighting a use case for Germany’s largest health insurer. He explained that on average, the company’s representatives “need to read 800 policy documents to determine if the claim is valid or not. They use our technology. It helps take 23 to 30 minutes down to 3 seconds. So productivity in these specific places are extremely high value.”

AWS’ Garman shared other ways AI is dramatically altering what’s possible. He said that there are pharmaceutical companies “using AI to actually invent new proteins [and] new molecules that may be able to help cure cancer or cure other diseases and things like that. And at a rate that's tens of thousands or hundreds of thousands more times than a person sitting there with a computer trying to guess what the next protein could look like to solve a particular disease. That is just a fundamentally different capability than ever existed before and has massive implications for health care.”

Garman also mentioned how bullet train operators in Japan are using AWS’ SageMaker and “built AI models to predict where they're going to have maintenance issues, [and] actually proactively predict weeks in advance where they might see components fail. And then using generative AI, they actually pull from a bunch of different data sources actually give the technician advice as to how they can go address that.”

As the industry continues to build more powerful models to advance capabilities and unlock new use cases, productivity gains, and reasoning abilities, the amount of AI accelerators needed will continue to rise exponentially. Per Barclays, for the development of three frontier AI models with 50 trillion parameters by 2027, 20 million AI accelerators would be needed to simply train each model, for a total of 60 million accelerators. This is more than 15x higher than Nvidia’s AI GPU volume from 2023, where it shipped an estimated 3.76 million GPUs.

AI can have a profound impact across multitudes of roles and industries, and this is only the tip of the iceberg in terms of how AI can boost productivity and increase efficiency – this is the larger cornerstone of AI's potential multi-trillion economic impact.

Every Thursday at 4:30 pm Eastern, the I/O Fund team holds a webinar for premium members to discuss how to navigate the broad market, as well as various stock entries and exits. We offer trade alerts plus an automated hedging signal. The I/O Fund team is one of the only audited portfolios available to individual investors. Learn more here.Learn more here.

4) AI’s Technological Progress is Moving at the Speed of Light

The AI industry is progressing exponentially fast, much faster than previous technological breakthroughs, and this is being spearheaded by Nvidia.

Nvidia has radically changed the game when it comes to progress in AI, quite essentially by breaking Moore’s Law and supercharging GPU performance in an undeniably rapid annual release cycle. As Nvidia CEO Jensen Huang put it at Communacopia, the “benefit of performance at the scale that we're doing, it directly translates to TCO [total cost of ownership].”

This is driving substantial acceleration downstream in the data center industry. Cloud providers such as Microsoft, Amazon, Alphabet and Meta not only can establish new data centers with the newest accelerators for faster performance, but also upgrade existing data centers and retire previous chip generations to significantly accelerate computing performance while realizing lower operational costs. Nvidia’s newest architecture, Blackwell, is also necessitating the adoption of liquid cooling, forcing new data centers to be reinvented from the ground up while being set up at much quicker rates.

Here’s what Microsoft CTO Kevin Scott said about data center and related infrastructure buildouts: “Everybody in the [AI] ecosystem is moving materially faster right now than they were 3 or 4 years ago, materially faster. … So far, demand for the infrastructure has materially outpaced our ability to supply it. … Do I wish it were faster? Yes, I wish it were faster. [But] it's so much faster than it was like 4 years ago.”

Not only does Nvidia not have enough chip supply to meet demand from its largest customers, but major cloud service providers Amazon, Microsoft, Alphabet, and Oracle, as well as startups such as CoreWeave, do not have enough GPU or custom silicon supply to meet enterprise and rental demand in the cloud and simultaneously utilize GPUs for internal AI R&D and product development.

The CSPs also do not have nearly enough infrastructure to support demand, especially as demand rises as the industry shifts towards real-time use cases. Shifting from today’s world of model development and training to inference, where these AI models will make predictions and draw conclusions in real-time on new data, still requires massive amounts of AI accelerators and infrastructure to support it, aside from the millions needed to train larger models.

This is why data center construction is rising so rapidly – capacity under construction in North America soared more than 70% YoY to 3.87 GW in the first half of 2024. For comparison, construction in all of 2023 totaled less than 3.1 GW.

Putting this all together, Big Tech is estimated to spend north of $210 billion of capex this year, predominantly for AI accelerators and infrastructure, with cumulative spending projected to surpass $700 billion by 2027. Nvidia’s GPU supply still lags behind demand, while Big Tech is working to build data centers as quickly as possible to house these millions of future GPUs.

While $700 billion in three years is a massive sum, one that has sparked fears of an inability to generate enough of an ROI to justify such spending, productivity gains are already arising not even two years after AI’s big spark, and the long-term economic growth potential from AI-enabled productivity gains is as much as $3.5 trillion per current projections. AI spending is not set to slow, and Big Tech has left many breadcrumbs pointing out exactly why they’ll continue to spend heavily on AI.

Conclusion

Communacopia was ripe with information about the current and future state of AI and what to expect as the industry emerges from its nascent stages of growth to an expected multi-trillion-dollar economic force. Big Tech’s executives see that the AI industry is moving much faster than anything before, with physical data center buildouts speeding up to meet both demand and infrastructural upgrades to handle more powerful and power-hungry GPUs.

While Wall Street debates on if AI is a bubble, we think it’s wise to closely track what highly successful management teams are saying about AI and why it’s a trend to not miss or ignore. At this time, it’s nearly unanimous among tech CEOs that AI offers investors a rare opportunity to get onboard in the early stages of one of the largest economic and transformational trends in tech.

Please note: The I/O Fund conducts research and draws conclusions for the Fund’s positions. We then share that information with our readers. This is not a guarantee of a stock’s performance. Please consult your personal financial advisor before buying any stock in the companies mentioned in this analysis.

Recommended Reading:

  • AI PCs Have Arrived: Shipments Rising, Competition Heating UpAI PCs Have Arrived: Shipments Rising, Competition Heating Up
  • Prediction: Microsoft Azure To Reach $200 Billion In Revenue By 2028Prediction: Microsoft Azure To Reach $200 Billion In Revenue By 2028
  • Nvidia Stock Is Selling Off: It’s Not Because Of BlackwellNvidia Stock Is Selling Off: It’s Not Because Of Blackwell
  • Arm Stock: Buy Its Customers, Not The StockArm Stock: Buy Its Customers, Not The Stock
Posted in Ai Platforms, AI StocksLeave a Comment on 4 Things Investors Must Know About AI

AI PCs Have Arrived: Shipments Rising, Competition Heating Up

Posted on September 19, 2024June 30, 2026 by io-fund
AI PCs Have Arrived: Shipments Rising, Competition Heating Up

This article was originally published on Forbes on Updated Sep 13, 2024, 06:42am EDTForbesForbes on Updated Sep 13, 2024, 06:42am EDT

Chipmakers Qualcomm, Intel and AMD are working to bring AI-capable PCs to the “mainstream”, delivering powerful neural processing units to PCs for on-computer AI operations. AI PCs are not only a consumer market, rather will also be driven forward by enterprises and developers seeking to upgrade their employee PCs. This being one of the biggest upgrade cycles in PC history, competition has heightened as Q3 comes to a close.

Intel believes the AI PC “promises to be a huge improvement for everyday PC usages,” as it “represents a fundamental shift in how our computers operate.” Lenovo executives believe that “AI enables a personalized user experience that, once adopted, will lead to significant productivity gains and foster greater innovation and creativity.” AMD’s executives have explained that they “see AI as the biggest inflection point in PC since the Internet with the ability to deliver unprecedented productivity and usability gains.” Qualcomm’s CEO has said that he believes the AI PC “is as significant as Windows 95. It is changing the experience, delivering groundbreaking AI capabilities, fundamentally changing how we interact with our PCs.”

AI PCs are expected to usher in a new wave of AI underpinned by increased productivity. AI’s trajectory will increase when more people can access AI-powered applications, which in turn, will help AI developers build larger ecosystems. Existing PCs are not yet powerful or efficient enough to run AI at the edge, yet the PCs currently being released with NPUs (neural processing units) will exceed 40 trillion operations per seconds (TOPS) and this will usher forth the performance upgrades needed to make on-device AI a reality for millions of consumers and enterprises.

AI PCs Drive Growth in Q2

AI PCs gained momentum with AI PC shipments doubling sequentially despite low-single digit growth in the broader PC market in Q2. Further growth is expected in the second half of the year as Intel and AMD prepare competing chips to Qualcomm’s Snapdragon X lineup.

Current AI PC projections:

  • For Q2, PC market growth was estimated in the low-3% range:
  • Canalys is placing growth at 3.4% YoY
  • Counterpoint Research seeing 3.1% YoY growth
  • IDC reporting is reporting 3% YoY growth with its preliminary numbers.
  • Total shipment figures varied slightly for each group ranging from 62.5 million to 64.9 million, representing QoQ growth of 9.1% for the broader PC market.

AI PCs were a predominant driver of growth sequentially, rising from approximately 7% share in Q1 to 14% share of shipments in Q2. On a unit basis, AI PCs shipments jumped 120% QoQ, from 4.0 million in Q1 to 8.8 million in Q2. For the first half of the year, that puts shipments at around 12.8 million units.

Full year forecast from Canalys projects shipments of 44 million AI PCs in 2024, implying that Q3 and Q4 will combine for 32 million units, or averaging nearly 50% QoQ growth in both quarters. IDC expects AI PC shipments to run closer to 50 million, with Gartner estimating 54.5 million earlier this year, though that would require ~300% growth from 1H to 2H.

Regardless of the exact number, the setup looks strong for H2 growth, although keep in mind, many competitors are competing for market share.

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2024 is the Spark for 2025’s Boom

While 2024 is off to a strong start so far for AI PC shipments with Q2 showing triple digit sequential growth, the true growth story for AI PCs will be in 2025. This year is the initial spark for AI PCs to boom in 2025, when they are expected to quickly take significant market share.

AMD CEO Lisa Su cautioned that some investors may have mistakenly expected 2024 to be the big growth year, but that she believes that will instead be 2025. Su said at Goldman Sachs Communacopia and Technology Conference that she believes “we are at the start of a multiyear AI PC cycle. So again, you guys are always trying to go a little bit too fast. So, we never said AI PCs was a big 2024 phenomena. AI PC is a start in 2024. But more importantly, it's the most significant innovation that's come to the PC market in definitely the last 10-plus years.”

Should the broader PC market register growth in the mid-to-high single digit range to ~260 million shipments this year, AI PCs would take 17% share at 44 million units.

For 2025, shipments are forecast to rise more than 134% YoY to 103 million units, at the midpoint. Assuming high single digit growth in total shipments in 2025 to 280 million PCs, AI PCs would take close to 40% share at the midpoint of 106 million shipments forecasted.

A bar chart forecasting AI-capable PC shipments from 2024 to 2028, with separate projections from Gartner, IDC, and Canalys.

Source: Gartner/IDC/Canalys

Longer-term, growth is expected to remain robust. Intel’s executives expect AI PCs to account for more than 50% of the PC market in 2026, and as much as 80% market share by 2028. Canalys sees AI PC shipments top 200 million by 2028, taking up to 70% market share.

Commercial to Drive AI PC Growth

AI PC’s rapid adoption curve will be driven primarily by the commercial market, with AI PCs expected to be a catalyzing force ahead of the upcoming Windows refresh at the end next year.

There is indication the early majority will adopt AI PCs in 2025, and the late majority in 2026, with industry projections matching this narrative. This leaves time for consumers to participate, which so far has been a challenge for AI.

I covered this in the past, stating: “AI-capable PCs are expected to be an explosive trend through 2025 and beyond. The trajectory of AI will increase when more people can access AI-powered applications, which in turn, will help AI developers build a bigger ecosystem. Currently, there is a major bottleneck right now for AI applications to where client devices are not powerful enough or energy efficient enough to leverage AI capabilities at the edge.” For a deeper dive on AI PCs and industry commentary on the growth potential, refer to AI PC Stocks: Emerging 2024 And 2025 Story (io-fund.com).

AMD’s Su believes that while the industry is only in the “beginning” of the AI PC cycle, “next year, as we think about commercial PCs and commercial refresh cycle, we actually see AI PC as a driver of that commercial refresh cycle.” This is a view shared by IDC, which “believes the commercial market has the biggest short-term upside for AI in the PC industry,” with the consumer side “yet to be told in full.” This is a view shared by Lenovo’s executives, who believe the end of support for Windows 10 in 2025 “will necessitate a migration to Windows 11 for enterprises and commercial users, further driving demand for new PCs.”

Commercial market share of AI PCs is projected to reach almost 60% by 2027, per Canalys. This implies end-market shipments of nearly 100 million, with the remaining 40% share in consumer. Additionally, Gartner forecasts that 100% of commercial (enterprise) PC purchases will be AI PCs by the end of 2026, driven by the productivity gains realized by on-device AI, and as enterprise applications begin to take advantage of AI features. Lenovo also expects that “enterprises may increasingly require AI-enabled PCs to remain competitive.”

Every Thursday at 4:30 pm Eastern, the I/O Fund team holds a webinar for premium members to discuss how to navigate the broad market, as well as various stock entries and exits. We offer trade alerts plus an automated hedging signal. The I/O Fund team is one of the only audited portfolios available to individual investors. Learn more here.Learn more here.

Competition is Intensifying

Competition in AI PCs is quickly intensifying, with Qualcomm moving downstream to the $700 and below market with a new Snapdragon chip. The x-86 based competitors, Intel and AMD, see growth opportunities ahead, with Intel forecasting a surge in CPU shipments as it comes off the launch of its Core Ultra 200V (Lunar Lake) chips.

Nvidia and AMD reportedly are lining up powerful Arm-based CPUs to take on Qualcomm after its Arm exclusivity deal expires at the end of 2024. Apple is also rumored to be planning an M4-powered Mac refresh either by the end of this year or early 2025.

The chipmakers are competing on NPU performance, alongside efficiency:

Qualcomm’s Snapdragon X NPU offers 45 TOPS of AI performance, while CEO Cristiano Amon “claiming a performance-per-watt 2.6 times better than AMD and 5.4 better than Intel's Core Ultra 7 chips.”

Intel’s Lunar Lake chip offers up to 48 TOPS on the NPU, and Intel is claiming “1.4x AI performance over the Snapdragon X Elite running the Stable Diffusion tool in a GIMP plugin; faster overall core performance versus Ryzen and Qualcomm competition; and a 1.5x improvement over its previous generation in the performance of the integrated GPU.”

AMD’s Ryzen AI 300 series chips (Strix Point and Strix Halo) offer up to 50 TOPS performance from the NPU, the highest on the market so far.

Apple’s M4 chip offers up to 38 TOPS performance on the NPU, with the chip originally deploying on the iPad lineup with the Mac refresh rumored for this year or next.

Nvidia does not have an NPU competitor yet, as it believes its GeForce RTX GPUs offer significantly higher TOPS and more AI performance, meeting the bill for AI PCs. However, Nvidia and MediaTek are reportedly working on an Arm-based AI PC chip for a 2025 launch following the expiration of Qualcomm’s exclusivity deal.

Intel’s Shipments Ahead of Expectations, AMD Execs See Share Gains

Though we are on the precipice of going through a major shift to where Arm architecture will compete more directly with x86 architecture for PCs, Arm lost share in both desktops and notebooks in Q2, according to data from Mercury Research.

In notebooks, Arm lost 144 bp market share QoQ to 11.4% share in Q2. AMD’s notebook share rose 121 bp QoQ to 18.0%, while Intel gained 23 bp QoQ to 70.6% share.

In desktops, Arm lost 31 bp QoQ to 5.9% share, AMD also lost 83 bp QoQ to 21.6% share, while Intel’s share rose 113 bp QoQ to 72.5%.

This was reflected in Intel’s Q2 report, where management noted that its Core Ultra (AI PC chip) shipments exceeded expectations in that quarters and “more than doubled sequentially.” Core Ultra shipments have surpassed 15 million since December 2023, with Intel believing that it remains firmly on track to surpass 40 million AI PCs by the end of 2024 and more than 100 million cumulatively by the end of 2025.

Qualcomm has also said that its initial launch of Copilot+ PCs, powered by its Snapdragon lineup, is exceeding internal expectations, but management has not shed light on AI PC shipments or revenue. Analysts questioned management over the impact of AI PCs on fiscal Q4’s guide, with management stating that “it's too early to kind of have either a bullish assumption or a specific assumption on PC,” and it is more “about kind of the longer-term growth opportunity, and being very specific on sell-through in the short term is not really something that we have insight into.” Management plans to provide more information on the revenue ramp during its upcoming Investor Day conference.

Qualcomm also mentioned that “20 Copilot+ PCs from Microsoft, Dell, HP, Lenovo, Acer, ASUS and Samsung are now available across 20 countries and 47 retailers.” This is a fraction of what Intel is launching, with Intel saying that “Microsoft has qualified Lunar Lake to power more than 80 new Copilot+ PCs across more than 20 OEMs.”

Similar to its competitors, AMD has been quite bullish regarding the impact of AI PCs on the upcoming refresh cycle, as it eyes a growth opportunity in commercial PCs.

AMD’s Ryzen AI 300 series (featuring the industry’s fastest NPU with 50 TOPS) launched at the end of July to “to strong reviews,” with “more than 100 Ryzen AI 300 series premium, gaming, and commercial platforms on track to launch from Acer, ASUS, HP, Lenovo, and others over the coming quarters.” Management noted that “customer excitement for our new Ryzen processors is very strong, and we are well positioned for ongoing revenue share gains based on the strength of our leadership portfolio and design win momentum.”

This builds on CFO Jean Hu’s prior comments that AMD was “gaining share” in PCs, as CEO Lisa Su sees “clear opportunities to gain additional commercial PC share based on the performance and efficiency advantages of our Ryzen Pro portfolio and an expanded set of AMD-powered commercial PCs from our OEM partners.” AMD’s executives hold the view that the company is “underrepresented” in PCs, “but particularly in the commercial PC side.” Management believes they can do “above-typical seasonality” in the second-half of 2024, based on the timing and strength of its product launches.

Intel’s Margin Troubles and AMD’s Growth

While Qualcomm is bringing a formidable Arm-based competitor to the industry, management has provided little clues to the revenue or margin impacts from AI PCs. Intel is looking to make large strides by prioritizing shipments at the expense of margins (and shareholders), while AMD is posting the strongest YoY growth rates, though comps were still weak in Q2.

Qualcomm’s IoT revenue, which houses its PC segment, has posted YoY revenue declines since fiscal Q2 2023, or six consecutive quarters. IoT revenue in Q3 declined (8%) YoY to $1.36 billion, as the pace of declines slowed, from (32%) YoY in Q1 and (11%) YoY in Q2. Management has not stated the impact of PCs on IoT revenue growth, or its contribution.

Intel reported 9% YoY revenue growth in Client Computing in Q2 to $7.41 billion, decelerating from Q1’s 31% YoY growth. On a dollar basis, growth has declined for two consecutive quarters, falling from $8.84 billion in Q4 to $7.53 billion in Q1 and now $7.41 billion.

Bar chart showing Intel's Client Computing Revenue from Q2 2022 to Q2 2024, measured in billions of dollars.

Source: Company IR

Notebook revenue declined sequentially for Intel, despite shipping AI PC chips ahead of expectations. Desktop revenue gained sequentially, but not enough to offset the softness in notebook: desktop revenue rose just 2.7% QoQ to $2.53 billion, while notebook slipped (4.3%) QoQ to $4.48 billion.

While Intel is reporting sequential weakness, AMD is seeing growth recover and growth rates remain strong. AMD’s Client segment has registered YoY growth of 42%, 62%, 85%, and 49% respectively, though against weak comps. Revenue in Q2 was just under $1.5 billion, up 9.1% QoQ and reaching the highest level in eight quarters. However, Client revenue is still one-third below its peak levels since in 2022, suffering from the sharp inventory correction that hit the industry.

Bar chart showing AMD's Client Revenue from Q2 2022 to Q2 2024, with year-over-year growth percentages.

Source: Company IR

As this growth story unfolds, operating margins will be critical to track for both Intel and AMD. Intel’s margins and profitability took a hit from its decision to prioritize AI PC shipments, and management seems keen on keeping that a priority moving forward, suggesting margins may have not stabilized. For AMD, the Client segment has historically been a significant driver of operating income. For example, in Q2 2022, when revenues were above $2.1 billion, Client’s operating margin was 31%, compared to 6% now – essentially, there’s much more ground to cover on the profitability side versus the growth side.

Conclusion

AI PCs bring x86 and Arm to the battlegrounds, with Qualcomm’s Snapdragon lineup making an attempt at the first major inroad on x86 Windows-based CPUs. Intel and AMD see strong growth ahead for their x86 competitors, though Apple is expected to bring a major upgrade with M4 chips later this year. This is ahead of possible new Arm-based CPUs from Nvidia and AMD next year.

Shipments of AI PCs have only just begun accelerating, with Q2 showing triple-digit sequential growth but penetration rates remain low. AI PC adoption is projected to skyrocket towards 70% share of total PC shipments by 2027, with growth arising predominantly in commercial markets first.

Please note: The I/O Fund conducts research and draws conclusions for the Fund’s positions. We then share that information with our readers. This is not a guarantee of a stock’s performance. Please consult your personal financial advisor before buying any stock in the companies mentioned in this analysis.

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Posted in Ai Platforms, AI Stocks, Semiconductor StocksLeave a Comment on AI PCs Have Arrived: Shipments Rising, Competition Heating Up

Optical Interconnects Overview: Strong Growth Expected Ahead

Posted on September 11, 2024June 30, 2026 by io-fund

Generative AI’s spending boom has not only driven increased demand for data centers as hyperscalers work to expand capacity, but also is driving a surge in optic connections. This is due to the heavy data requirements needed to support genAI services and connections needed to link GPUs together in the clusters. Optical transceivers are becoming increasingly important in addressing bandwidth, a primary bottleneck in large-scale data centers, which refers to the speed of data transfer in the data center.

Corning is a centuries-old bellwether for materials such as advanced optics. The management team recently explained in its Q2 earnings call that “traditional data centers contain a network of interconnected switches and CPUs. GenAI requires a second network within data centers to connect every GPU to every other GPU in the cluster, creating a neural network. Now because GPUs have more processing capacity than CPUs, they need higher bandwidth links connecting them. The result is about 10 times the number of fiber [optic] connections in this new network versus a traditional data center.”

We’ve previously discussed memory bandwidth as a primary bottleneck at the GPU level, but scaling from singular GPUs to hyperscale data centers featuring hundreds of thousands of GPUs sees bandwidth arise as a primary bottleneck due to the immense data transfer requirements of AI training and inference.

GenAI to Drive Optical Growth

AI requires interconnected processors, to where thousands or tens of thousands of processors are connected. In turn, connectivity is needed for accelerated compute, which includes an increased number of switches, NICs, ports and also port speed.

For example, Chat-GPT was trained on a 25,000-accelerator cluster with roughly 75,000 optical interconnects. Increasingly powerful AI models, with escalating data and compute demands, are making bandwidth, data speeds and latency critical factors for future data centers to address.

Copper had long been standard for data center interconnects, but it cannot support network speeds of 800 gigabits (800G) to 1.6 terabits (1.6T) over long distances due to substantial signal loss. This isn’t to say copper is dead – Nvidia’s GB200 NVL72 utilized copper over optics (with more than 2 miles of copper cabling in the rack) to reduce power consumption by 20 kw (the system still draws 120kw of power). According to a representative from Marvell’s Cloud Optics division, “optical is the only technology that can give you the bandwidth and reach needed to connect hundreds and thousands and tens of thousands of servers across the whole data center.”

Optical transceivers are crucial in enabling high-speed data transfer, by transmitting and receiving data from optical (light) signals to electrical signals. In data centers, optical interconnects and transceivers are becoming the de facto standard to handle AI workloads, since they can function at significantly higher speeds than copper (currently  at 800G+ speeds and moving quickly to 1.6T), with longer range, higher data capacity, and lower latency with minimal signal loss. One drawback, however, is that due to the electronic complexity of optical products, costs are higher as well as power consumption versus copper.

800G transceivers are a driver of growth industry-wide at the moment, with Marvell, Lumentum, Coherent, Mitsubishi Electric, Broadcom, Nvidia and others all shipping 800G transceivers and seeing high growth and demand. Coherent forecast in 2023 that the datacom transceiver market would more than double to $11.4 billion by 2028, with 800G transceivers taking more than 50% market share, up from the mid-teens in 2023, with the majority of that growth arising through 2026.

Source: Coherent

Mitsubishi Electric sees much more market share growth ahead for high-speed transceivers, forecasting the optical transceiver market to nearly triple from just over $4 billion in 2023 to $12 billion by 2029, with 800G and 1.6T transceivers accounting for more than 80% of the market.

Source: Mitsubishi Electric

Other industry forecasts suggest the broader optical transceiver market (including other end markets in industrial and telecom) will nearly double from $13.3 billion in 2024 to $24.7 billion by 2027.

Industry Executives See Strong Growth in Optics

Management teams from companies in the optical transceiver industry remain quite bullish about growth prospects in the future, catalyzed by AI data center demand.

Mitsubishi Electric, which reportedly commands nearly 50% market share in optical transmission devices for data centers, per Bloomberg, is rapidly expanding capacity to meet demand. Mitsubishi is “ramping up production capacity for optical devices to a level 50% above last year’s,” though CEO Masayoshi Takemi said that “won’t be enough to meet the strong level of inquiries we’re getting, [and] we may need double what we’ll have in September.”

Coherent CEO Jim Anderson similarly sees strong growth ahead for transceivers: “one of the most exciting growth opportunities is our optical transceiver technology, which underpins and drives the high-speed connectivity required by new AI data centers.” He added that the company “saw strong sequential growth in our 800G datacom transceiver revenue in Q4 and [is] also seeing increasing orders in backlog for the current and future quarters. We also delivered initial samples of our 1.6T datacom transceivers, which we expect to begin ramping in calendar 2025.”

Barclays analyst Tom O’Malley asked Anderson about the trajectory of the “big growth engine” for Coherent, the ramp of 800G and soon 1.6T transceivers, with Anderson saying that “It's stronger than what I had thought. And we've seen, just over the last, I would say, gosh, four to six weeks as I've spent a lot of time with our top customers across the – across all of our different product lines, but especially in our datacom business, I've gotten a much better sense for the opportunity that's in front of us, and I would say it's a very strong opportunity. And we continue to see demand strengthening, forecast strengthening, billings, backlog.”

Optics has also been a primary growth driver so far this year for Marvell, with electro-optics revenue exceeding expectations in Q2 and expected to grow in each quarter of this fiscal year. To note, Marvell is targeting to exceed its $1.5 billion AI revenue target this year, with optics contributing $1 billion or more of that sum.

Marvell CEO Matt Murphy explained in Q2’s earnings call that “demand has been extremely strong in the AI business, as we mentioned, both in custom and in our optics business. And that's the 800G products as well as traditional cloud, as well as DCI [data center interconnects]. So that's all going extremely well. And for next year, that should absolutely ripple through. We see continued strength next year above what we had communicated relative to the target for next year both in custom and in optics and the broader portfolio. … Demand has been strong. Bookings momentum has been extremely strong.”

Marvell’s management also noted in Q1 that its 800G PAM4 modules are currently the “primary interconnect enabler for state-of-the–art AI deployments,” while qualifications have begun for its 1.6T modules, which it expects will enable the next generation of AI chips. Marvell added in Q2 that “strong bookings continue for our market leading 800G PAM products and 400ZR data center interconnect, or DCI products,” while its 1.6T DSPs (digital signal processors) would begin shipments in Q3.

Marvell has the advantage of scale over its competitors. Per a Marvell spokesperson in June, “every single large language model today runs on compute clusters that are enabled by Marvell’s connectivity silicon.”

Lumentum is expecting the optical opportunity to quickly drive quarterly revenues to $500 million by the end of 2025, up 60% from last quarter’s $308 million, with management saying that transceivers will be the “number one growth area,” with EML chips and optical switching other growth drivers as the company works to rapidly boost transceiver capacity in Thailand. You can access our previous Lumentum deep dive here.

In terms of optics (and/or networking revenue), Marvell likely leads the three, with Coherent close behind. Marvell’s data center optics segment alone contributed more than $1 billion in revenue in fiscal 2024, and in Q2 FY25, optics and networking and switches likely accounted for revenue in the mid-$600 million range, given management’s comments that suggested between $200 million to $250 million stemmed from ASICs and storage. For FY25, Marvell’s optics, networking/switches and enterprise networking revenue could reach approximately $3 billion annualized (~54% of FY25 revenue estimate of $5.54 billion), with more than $1 billion in AI revenue (mgmt’s $1.5 billion AI revenue target has 2/3 coming from optics).

Coherent reported approximately $2.3 billion in networking revenue in the twelve months ending in June, or ~49% of overall revenue; Coherent has not provided an AI revenue target, but noted that datacom revenue rose 16% QoQ and 58% YoY due to AI demand. Lumentum reported $1.08 billion in cloud & networking revenue in FY24 (~80% of revenue), down 18% YoY, with management eyeing AI to drive revenue to a $2 billion-plus run rate by the end of calendar 2025.

Interestingly, it was announced on September 5 that Marvell, Lumentum and Coherent have demonstrated the industry’s first 800G ZR/ZR+ pluggable modules for 500 kilometer data center interconnects (an industry first distance for 800G modules). Utilizing Marvell’s Orion 800G DSPs, modules from the three are now interoperable, allowing regional data centers to take advantage of a multi-vendor solution and minimize vendor lock-in risk by having the ability to link together transceivers from different companies in a cost-effective and power-efficient manner.

Blackwell in Focus

Nvidia’s Blackwell is a force of its own, and with initial shipments expected to begin in Q4 this year (which ends in January), but will ship in volume come     Q1 (ending in April), analysts are working to identify which companies will be primary suppliers on the optics side as Blackwell brings an enormous revenue opportunity for Nvidia and its suppliers.

Broadcom was the latest to field questions from analysts about optics tie-ins to Broadcom, though Marvell, Lumentum and Coherent all have been questioned as well – the common denominator is that the management teams are not commenting on individual customer engagements.

Interestingly, a Broadcom announcement from March 2024 noted that “Google and Nvidia will be the first adopters of 200G per lane optics for interconnecting GPUs and TPUs in AI Clusters” as 1.6T shipments begin by the end of the year (aligning with Blackwell). Broadcom also continued its partnerships with Innolight and Eoptolink in optics; this cross-checks with a report from SemiAnalysis on GB200 component suppliers, saying that “while Marvell was 100% share on Nvidia last generation with H100. This generation, Broadcom comes in a big way. We see both Innolight and Eoptolink looking to be adding Broadcom in volume for the DSP.”

Notably, in the most recent earnings report, the CEO stated he was not “directly” in the market of supplying Blackwell, so we will see if Broadcom is downstream or not come next year. Per the CEO of Broadcom: “We’re happy to be part of that ecosystem as I said. But directly, we’re not in that [Blackwell] market as you know.”

Marvell:Marvell:

Question (Atif Malik, Citi): “Curious when are you thinking about the volume adoption of 1.6T and what is holding that if it's not the DSPs. Are the lasers not ready? Or is it just waiting for the Blackwell?”

Answer (CEO Matt Murphy): “I think the way to think about it is just timing relative to the system builds our customers call, schedule their ramp, et cetera. … I remember all these issues in the past, right. There's a green laser problem. There's this problem or that. There's always some issue in this optical space, but this time it's really, everyone's going a million miles an hour trying to get their products ramped. Our module partners are ramping up with our solution. Our end customers that are driving this are going as fast as they can.

So it's just more of a timing issue that we need to intercept the platforms as they're ramping and we're doing that. So think of that as sort of shipments in the back half, but really contributing much more meaningfully next year on the 1.6T transition. But it's definitely underway, and we see a clear path to help enable right, this part of this next generation of accelerators to be able to ship in volume with the latest optical standards. And we're at the forefront and in the lead in that regard. So yes, it will be later this year and then more volume next year and it will — I think be a big product cycle for us.”

Quick Note on CXL: About two years ago, our firm covered Marvell’s CXL memory catalyst. Compute Express Link (CXL) improves how data centers add memory by offering a new switch that offers “cache coherent” memory pooling. Essentially, this means offering a new architecture that boosts memory bandwidth and helps to enable memory pooling through partially-disaggregated racks.

The new fabric required for disaggregated memory from the CPU is based on PAM electro-optics that Marvell specializes in. In July, new CXL memory-expansion controllers were announced called Structera with partners AMD, Intel, Micron and Arm participating in the press release.  Custom CXL silicon is expected to sample in the fourth quarter and will represent an expansion to Marvell’s TAM assuming all goes well.

Lumentum:Lumentum:

Question (George Notters, Jefferies): “I'm just curious if you guys have an Nvidia qualification on this 800 gig single mode transceiver?”

Answer (CEO Alan Lowe): “Yes, we're not going to comment on who the customer is, George. I would say that — as I said before, most customers are working with us on products they don't already have. And so, for instance, we are designing 1.6T transceivers, and the performance is quite good. We plan on sampling customers this quarter on 1.6T. So, there's a few leaders that would be consuming that. And so, you can imply what you want from that, but we're not going to speak specifically about any individual customer.”

Coherent:Coherent:

Question (Vivek Arya, Bank of America): “Are you seeing any impact at all, positive or negative, because of changes in Nvidia’s product schedule or does that have no impact?”

Answer (CEO Jim Anderson): “On the first part, on the part that was about the order book, yes, we continue to see the order book strengthen. I think you asked about a particular customer. I can't comment on that particular customer, or really any particular customer. But I can say that in aggregate, we're continuing to see, again, the order book strengthen and demand growing, which is good.”

Margins May Determine the Winners

Given that optics is a fairly fragmented market with four major firms vying for market share in 800G and soon 1.6T transceivers, margins may ultimately determine the winners. This view is shared by Coherent, with management stating that on pricing and gross margins, “in general, what we would usually see in the transceiver market is the newer speed grades like 800G and then soon to be 1.6T generally carry higher gross margins than the older speed grades, right? The older speed grades are usually become commoditized over time.”

Based on Coherent and Mitsubishi Electric’s forecasts, shipment growth in 800G is expected through 2026 before shifting to 1.6T, leaving four to six quarters for these companies to drive shipments and revenues before commoditization potentially occurs with product margins shrinking.

Of the trio, Marvell has the best gross margin profile, at 46.2% last quarter, compared to 32.9% for Coherent and 16.6% for Lumentum. Marvell is expecting gross margin to expand to 47.2% next quarter, while Coherent guided flat QoQ and Lumentum guiding for some sequential improvement in future quarters.

Moving down the line, Coherent is the only one of the three with a positive operating margin, reporting a ~300 bp sequential expansion to a 4.8% margin last quarter. Marvell reported a (7.9%) operating margin, while Lumentum reported a (43.3%) operating margin.

With Marvell’s success likely equally tied to the ramp of ASICs in the coming quarters, and Lumentum deep in the red, Coherent is better positioned with a stronger bottom line profile to be able to withstand pricing competition, should the manufacturers prioritize capacity expansion. In this case, Coherent has leverage to boost market share gains by undercutting on price. Coherent also is showing slightly better sequential growth than Marvell, reporting ~10% QoQ growth in networking revenue to $680 million, while Marvell reported 8% QoQ growth in data center to $881 million (though Marvell is seeing growth arise from ASICs as well); Lumentum, on the other hand, reported an (11%) YoY decline as it struggles with weaker end market demand from telecom.

One primary theme evident in Big Tech’s recent earnings reports was the need for continual investments in AI infrastructure and physical data centers, with management teams positive on the long-term potential of generative AI products and services. Lead Tech Analyst Beth Kindig spoke with Yahoo Finance following Nvidia’s Q2 earnings report last month, saying that Big Tech is “in a race toward preventing extinction,” in that whichever company succeeds in AI first “could completely dominate to a level” to where competitors’ businesses will decline substantially. This is a view shared by Alphabet CEO Sundar Pichai: “the risk of under-investing is dramatically greater than the risk of over-investing.”

We’re seeing clear growth in Big Tech’s capex with no slowdown in sight – Bank of America is estimating that the Big 4 (Microsoft, Meta, Alphabet, and Amazon) will spend a combined total of $700 billion through the end of 2026. While a majority of AI capex is expected to flow to Nvidia and other AI accelerator beneficiaries including AMD and Broadcom, physical data center construction is surging, and outfitting new data centers requires AI server racks, cooling infrastructure, power systems, connectivity and other components. One component subsegment where we’re currently seeing growth arise, with positive forward-looking commentary from executives, is optical transceivers, with Marvell, Lumentum, and Coherent among the leading manufacturers we’re currently tracking.

Big Tech’s AI Spending, Physical Data Center Construction Surging

As we explained in our free newsletter in early August, “Big Tech Battles on AI: Here’s the Winner,” Big Tech’s capex spending is surging. Microsoft, Meta, Alphabet and Amazon committed more than $104 billion in the first half of 2024, up 47% YoY, with the four well on the way to spending more than $210 billion in capex for the year.

Spending is not expected to slow any time soon – UBS expects capex from the four to rise 25% YoY in 2025, well ahead of the current consensus estimates for 10% to 15% YoY growth, as AI demand still outpaces capacity as management teams push AI investments to the forefront.

The weight of four Big Tech CEOs speaking in unison on this topic (risking overinvesting and building AI capacity before it’s needed) is either a staggering coincidence — or they have important insights that are leading to the same conclusion, which is that AI’s primary risk is for those companies that are not early enough to capture it.

For a deeper understanding of Big Tech’s AI capex spending and outlook, and crucial comments on AI capacity and ROI, read our August newsletter here.here.

Stemming from this prioritization of expanding AI capacity comes a rapid uptick in physical data center construction, along with other signs that data center demand is rapidly increasing.

In North America, data center capacity under construction has soared more than 70% YoY to 3.87 GW through the end of June – for comparison, construction in all of 2023 totaled less than 3.1 GW. Preleased capacity surpassed 3 GW, with Big Tech and GPU renting startups such as CoreWeave accounting for more than 80% of this upcoming capacity.

In addition to this surge in construction activity, data from CBRE points to asking rental rates also rising, driven by tight existing supply and strong demand. Asking rental rates have increased 6.5% to $174 per kw/month this year, following an 18.6% rise in 2023 and a 14.5% increase in 2022. To put it a different way, asking rental rates have jumped 45% since 2021 (as construction began to accelerate), from ~$120 per kw/month to $174 per kw/month.

Building and optimizing these new data centers to meet the increasing performance and efficiency demands of Nvidia’s and AMD’s next-generation GPUs is placing more emphasis on fiber optics and optical transceivers for high-speed and high-capacity data transmission. 

The I/O Fund strongly believes investors should look for demand signals for AI, which is why we steered away from best-of-breed software companies where AI revenue was entirely speculative and became a trap for investors, such as MongoDB or Snowflake. Big Tech does not use these software platforms, and therefore, the demand equation had not been solved. Instead, we focused tracking capex as it relates to AI semis and data center buildouts over the past 3 years, and that remains our strategy until we see capex contracts – with optics fitting well within this strategy.

Conclusion

As the industry gears up for Blackwell’s imminent ramp into 2025, we’ll be closely monitoring sequential growth in data center and networking segments, along with management commentary about the growth trajectories in optics as it unfolds. Optical transceivers and interconnects are becoming a key component in AI data centers due to transfer speed and other benefits, with the industry set to more than double over the next few years as data center construction surges along with hyperscaler AI capex.

Our Advanced members have received technical analysis updates and a possible buy plan for one of these optics stocks, as well as a handful of other AI stocks in explosive growth trends such as AI PCs.

Damien Robbins, Equity Analyst for the I/O Fund, contributed to this analysis.

Please note: The I/O Fund conducts research and draws conclusions for the Fund’s positions. We then share that information with our readers. This is not a guarantee of a stock’s performance. Please consult your personal financial advisor before buying any stock in the companies mentioned in this analysis.

Recommended Reading:

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  • Marvell FQ2 Earnings: Rebound in the cards
  • Nvidia Q2: Blackwell Shipments to Begin in Q4
Posted in AI Stocks, Data CenterLeave a Comment on Optical Interconnects Overview: Strong Growth Expected Ahead

Optical Interconnects Overview: Strong Growth Expected Ahead

Posted on September 11, 2024June 30, 2026 by io-fund

Generative AI’s spending boom has not only driven increased demand for data centers as hyperscalers work to expand capacity, but also is driving a surge in optic connections. This is due to the heavy data requirements needed to support genAI services and connections needed to link GPUs together in the clusters. Optical transceivers are becoming increasingly important in addressing bandwidth, a primary bottleneck in large-scale data centers, which refers to the speed of data transfer in the data center.

Corning is a centuries-old bellwether for materials such as advanced optics. The management team recently explained in its Q2 earnings call that “traditional data centers contain a network of interconnected switches and CPUs. GenAI requires a second network within data centers to connect every GPU to every other GPU in the cluster, creating a neural network. Now because GPUs have more processing capacity than CPUs, they need higher bandwidth links connecting them. The result is about 10 times the number of fiber [optic] connections in this new network versus a traditional data center.”

We’ve previously discussed memory bandwidth as a primary bottleneck at the GPU level, but scaling from singular GPUs to hyperscale data centers featuring hundreds of thousands of GPUs sees bandwidth arise as a primary bottleneck due to the immense data transfer requirements of AI training and inference.

GenAI to Drive Optical Growth

AI requires interconnected processors, to where thousands or tens of thousands of processors are connected. In turn, connectivity is needed for accelerated compute, which includes an increased number of switches, NICs, ports and also port speed.

For example, Chat-GPT was trained on a 25,000-accelerator cluster with roughly 75,000 optical interconnects. Increasingly powerful AI models, with escalating data and compute demands, are making bandwidth, data speeds and latency critical factors for future data centers to address.

Copper had long been standard for data center interconnects, but it cannot support network speeds of 800 gigabits (800G) to 1.6 terabits (1.6T) over long distances due to substantial signal loss. This isn’t to say copper is dead – Nvidia’s GB200 NVL72 utilized copper over optics (with more than 2 miles of copper cabling in the rack) to reduce power consumption by 20 kw (the system still draws 120kw of power). According to a representative from Marvell’s Cloud Optics division, “optical is the only technology that can give you the bandwidth and reach needed to connect hundreds and thousands and tens of thousands of servers across the whole data center.”

Optical transceivers are crucial in enabling high-speed data transfer, by transmitting and receiving data from optical (light) signals to electrical signals. In data centers, optical interconnects and transceivers are becoming the de facto standard to handle AI workloads, since they can function at significantly higher speeds than copper (currently  at 800G+ speeds and moving quickly to 1.6T), with longer range, higher data capacity, and lower latency with minimal signal loss. One drawback, however, is that due to the electronic complexity of optical products, costs are higher as well as power consumption versus copper.

800G transceivers are a driver of growth industry-wide at the moment, with Marvell, Lumentum, Coherent, Mitsubishi Electric, Broadcom, Nvidia and others all shipping 800G transceivers and seeing high growth and demand. Coherent forecast in 2023 that the datacom transceiver market would more than double to $11.4 billion by 2028, with 800G transceivers taking more than 50% market share, up from the mid-teens in 2023, with the majority of that growth arising through 2026.

Source: Coherent

Mitsubishi Electric sees much more market share growth ahead for high-speed transceivers, forecasting the optical transceiver market to nearly triple from just over $4 billion in 2023 to $12 billion by 2029, with 800G and 1.6T transceivers accounting for more than 80% of the market.

Source: Mitsubishi Electric

Other industry forecasts suggest the broader optical transceiver market (including other end markets in industrial and telecom) will nearly double from $13.3 billion in 2024 to $24.7 billion by 2027.

Industry Executives See Strong Growth in Optics

Management teams from companies in the optical transceiver industry remain quite bullish about growth prospects in the future, catalyzed by AI data center demand.

Mitsubishi Electric, which reportedly commands nearly 50% market share in optical transmission devices for data centers, per Bloomberg, is rapidly expanding capacity to meet demand. Mitsubishi is “ramping up production capacity for optical devices to a level 50% above last year’s,” though CEO Masayoshi Takemi said that “won’t be enough to meet the strong level of inquiries we’re getting, [and] we may need double what we’ll have in September.”

Coherent CEO Jim Anderson similarly sees strong growth ahead for transceivers: “one of the most exciting growth opportunities is our optical transceiver technology, which underpins and drives the high-speed connectivity required by new AI data centers.” He added that the company “saw strong sequential growth in our 800G datacom transceiver revenue in Q4 and [is] also seeing increasing orders in backlog for the current and future quarters. We also delivered initial samples of our 1.6T datacom transceivers, which we expect to begin ramping in calendar 2025.”

Barclays analyst Tom O’Malley asked Anderson about the trajectory of the “big growth engine” for Coherent, the ramp of 800G and soon 1.6T transceivers, with Anderson saying that “It's stronger than what I had thought. And we've seen, just over the last, I would say, gosh, four to six weeks as I've spent a lot of time with our top customers across the – across all of our different product lines, but especially in our datacom business, I've gotten a much better sense for the opportunity that's in front of us, and I would say it's a very strong opportunity. And we continue to see demand strengthening, forecast strengthening, billings, backlog.”

Optics has also been a primary growth driver so far this year for Marvell, with electro-optics revenue exceeding expectations in Q2 and expected to grow in each quarter of this fiscal year. To note, Marvell is targeting to exceed its $1.5 billion AI revenue target this year, with optics contributing $1 billion or more of that sum.

Marvell CEO Matt Murphy explained in Q2’s earnings call that “demand has been extremely strong in the AI business, as we mentioned, both in custom and in our optics business. And that's the 800G products as well as traditional cloud, as well as DCI [data center interconnects]. So that's all going extremely well. And for next year, that should absolutely ripple through. We see continued strength next year above what we had communicated relative to the target for next year both in custom and in optics and the broader portfolio. … Demand has been strong. Bookings momentum has been extremely strong.”

Marvell’s management also noted in Q1 that its 800G PAM4 modules are currently the “primary interconnect enabler for state-of-the–art AI deployments,” while qualifications have begun for its 1.6T modules, which it expects will enable the next generation of AI chips. Marvell added in Q2 that “strong bookings continue for our market leading 800G PAM products and 400ZR data center interconnect, or DCI products,” while its 1.6T DSPs (digital signal processors) would begin shipments in Q3.

Marvell has the advantage of scale over its competitors. Per a Marvell spokesperson in June, “every single large language model today runs on compute clusters that are enabled by Marvell’s connectivity silicon.”

Lumentum is expecting the optical opportunity to quickly drive quarterly revenues to $500 million by the end of 2025, up 60% from last quarter’s $308 million, with management saying that transceivers will be the “number one growth area,” with EML chips and optical switching other growth drivers as the company works to rapidly boost transceiver capacity in Thailand. You can access our previous Lumentum deep dive here.

In terms of optics (and/or networking revenue), Marvell likely leads the three, with Coherent close behind. Marvell’s data center optics segment alone contributed more than $1 billion in revenue in fiscal 2024, and in Q2 FY25, optics and networking and switches likely accounted for revenue in the mid-$600 million range, given management’s comments that suggested between $200 million to $250 million stemmed from ASICs and storage. For FY25, Marvell’s optics, networking/switches and enterprise networking revenue could reach approximately $3 billion annualized (~54% of FY25 revenue estimate of $5.54 billion), with more than $1 billion in AI revenue (mgmt’s $1.5 billion AI revenue target has 2/3 coming from optics).

Coherent reported approximately $2.3 billion in networking revenue in the twelve months ending in June, or ~49% of overall revenue; Coherent has not provided an AI revenue target, but noted that datacom revenue rose 16% QoQ and 58% YoY due to AI demand. Lumentum reported $1.08 billion in cloud & networking revenue in FY24 (~80% of revenue), down 18% YoY, with management eyeing AI to drive revenue to a $2 billion-plus run rate by the end of calendar 2025.

Interestingly, it was announced on September 5 that Marvell, Lumentum and Coherent have demonstrated the industry’s first 800G ZR/ZR+ pluggable modules for 500 kilometer data center interconnects (an industry first distance for 800G modules). Utilizing Marvell’s Orion 800G DSPs, modules from the three are now interoperable, allowing regional data centers to take advantage of a multi-vendor solution and minimize vendor lock-in risk by having the ability to link together transceivers from different companies in a cost-effective and power-efficient manner.

Blackwell in Focus

Nvidia’s Blackwell is a force of its own, and with initial shipments expected to begin in Q4 this year (which ends in January), but will ship in volume come     Q1 (ending in April), analysts are working to identify which companies will be primary suppliers on the optics side as Blackwell brings an enormous revenue opportunity for Nvidia and its suppliers.

Broadcom was the latest to field questions from analysts about optics tie-ins to Broadcom, though Marvell, Lumentum and Coherent all have been questioned as well – the common denominator is that the management teams are not commenting on individual customer engagements.

Interestingly, a Broadcom announcement from March 2024 noted that “Google and Nvidia will be the first adopters of 200G per lane optics for interconnecting GPUs and TPUs in AI Clusters” as 1.6T shipments begin by the end of the year (aligning with Blackwell). Broadcom also continued its partnerships with Innolight and Eoptolink in optics; this cross-checks with a report from SemiAnalysis on GB200 component suppliers, saying that “while Marvell was 100% share on Nvidia last generation with H100. This generation, Broadcom comes in a big way. We see both Innolight and Eoptolink looking to be adding Broadcom in volume for the DSP.”

Notably, in the most recent earnings report, the CEO stated he was not “directly” in the market of supplying Blackwell, so we will see if Broadcom is downstream or not come next year. Per the CEO of Broadcom: “We’re happy to be part of that ecosystem as I said. But directly, we’re not in that [Blackwell] market as you know.”

Marvell:Marvell:

Question (Atif Malik, Citi): “Curious when are you thinking about the volume adoption of 1.6T and what is holding that if it's not the DSPs. Are the lasers not ready? Or is it just waiting for the Blackwell?”

Answer (CEO Matt Murphy): “I think the way to think about it is just timing relative to the system builds our customers call, schedule their ramp, et cetera. … I remember all these issues in the past, right. There's a green laser problem. There's this problem or that. There's always some issue in this optical space, but this time it's really, everyone's going a million miles an hour trying to get their products ramped. Our module partners are ramping up with our solution. Our end customers that are driving this are going as fast as they can.

So it's just more of a timing issue that we need to intercept the platforms as they're ramping and we're doing that. So think of that as sort of shipments in the back half, but really contributing much more meaningfully next year on the 1.6T transition. But it's definitely underway, and we see a clear path to help enable right, this part of this next generation of accelerators to be able to ship in volume with the latest optical standards. And we're at the forefront and in the lead in that regard. So yes, it will be later this year and then more volume next year and it will — I think be a big product cycle for us.”

Quick Note on CXL: About two years ago, our firm covered Marvell’s CXL memory catalyst. Compute Express Link (CXL) improves how data centers add memory by offering a new switch that offers “cache coherent” memory pooling. Essentially, this means offering a new architecture that boosts memory bandwidth and helps to enable memory pooling through partially-disaggregated racks.

The new fabric required for disaggregated memory from the CPU is based on PAM electro-optics that Marvell specializes in. In July, new CXL memory-expansion controllers were announced called Structera with partners AMD, Intel, Micron and Arm participating in the press release.  Custom CXL silicon is expected to sample in the fourth quarter and will represent an expansion to Marvell’s TAM assuming all goes well.

Lumentum:Lumentum:

Question (George Notters, Jefferies): “I'm just curious if you guys have an Nvidia qualification on this 800 gig single mode transceiver?”

Answer (CEO Alan Lowe): “Yes, we're not going to comment on who the customer is, George. I would say that — as I said before, most customers are working with us on products they don't already have. And so, for instance, we are designing 1.6T transceivers, and the performance is quite good. We plan on sampling customers this quarter on 1.6T. So, there's a few leaders that would be consuming that. And so, you can imply what you want from that, but we're not going to speak specifically about any individual customer.”

Coherent:Coherent:

Question (Vivek Arya, Bank of America): “Are you seeing any impact at all, positive or negative, because of changes in Nvidia’s product schedule or does that have no impact?”

Answer (CEO Jim Anderson): “On the first part, on the part that was about the order book, yes, we continue to see the order book strengthen. I think you asked about a particular customer. I can't comment on that particular customer, or really any particular customer. But I can say that in aggregate, we're continuing to see, again, the order book strengthen and demand growing, which is good.”

Margins May Determine the Winners

Given that optics is a fairly fragmented market with four major firms vying for market share in 800G and soon 1.6T transceivers, margins may ultimately determine the winners. This view is shared by Coherent, with management stating that on pricing and gross margins, “in general, what we would usually see in the transceiver market is the newer speed grades like 800G and then soon to be 1.6T generally carry higher gross margins than the older speed grades, right? The older speed grades are usually become commoditized over time.”

Based on Coherent and Mitsubishi Electric’s forecasts, shipment growth in 800G is expected through 2026 before shifting to 1.6T, leaving four to six quarters for these companies to drive shipments and revenues before commoditization potentially occurs with product margins shrinking.

Of the trio, Marvell has the best gross margin profile, at 46.2% last quarter, compared to 32.9% for Coherent and 16.6% for Lumentum. Marvell is expecting gross margin to expand to 47.2% next quarter, while Coherent guided flat QoQ and Lumentum guiding for some sequential improvement in future quarters.

Moving down the line, Coherent is the only one of the three with a positive operating margin, reporting a ~300 bp sequential expansion to a 4.8% margin last quarter. Marvell reported a (7.9%) operating margin, while Lumentum reported a (43.3%) operating margin.

With Marvell’s success likely equally tied to the ramp of ASICs in the coming quarters, and Lumentum deep in the red, Coherent is better positioned with a stronger bottom line profile to be able to withstand pricing competition, should the manufacturers prioritize capacity expansion. In this case, Coherent has leverage to boost market share gains by undercutting on price. Coherent also is showing slightly better sequential growth than Marvell, reporting ~10% QoQ growth in networking revenue to $680 million, while Marvell reported 8% QoQ growth in data center to $881 million (though Marvell is seeing growth arise from ASICs as well); Lumentum, on the other hand, reported an (11%) YoY decline as it struggles with weaker end market demand from telecom.

One primary theme evident in Big Tech’s recent earnings reports was the need for continual investments in AI infrastructure and physical data centers, with management teams positive on the long-term potential of generative AI products and services. Lead Tech Analyst Beth Kindig spoke with Yahoo Finance following Nvidia’s Q2 earnings report last month, saying that Big Tech is “in a race toward preventing extinction,” in that whichever company succeeds in AI first “could completely dominate to a level” to where competitors’ businesses will decline substantially. This is a view shared by Alphabet CEO Sundar Pichai: “the risk of under-investing is dramatically greater than the risk of over-investing.”

We’re seeing clear growth in Big Tech’s capex with no slowdown in sight – Bank of America is estimating that the Big 4 (Microsoft, Meta, Alphabet, and Amazon) will spend a combined total of $700 billion through the end of 2026. While a majority of AI capex is expected to flow to Nvidia and other AI accelerator beneficiaries including AMD and Broadcom, physical data center construction is surging, and outfitting new data centers requires AI server racks, cooling infrastructure, power systems, connectivity and other components. One component subsegment where we’re currently seeing growth arise, with positive forward-looking commentary from executives, is optical transceivers, with Marvell, Lumentum, and Coherent among the leading manufacturers we’re currently tracking.

Big Tech’s AI Spending, Physical Data Center Construction Surging

As we explained in our free newsletter in early August, “Big Tech Battles on AI: Here’s the Winner,” Big Tech’s capex spending is surging. Microsoft, Meta, Alphabet and Amazon committed more than $104 billion in the first half of 2024, up 47% YoY, with the four well on the way to spending more than $210 billion in capex for the year.

Spending is not expected to slow any time soon – UBS expects capex from the four to rise 25% YoY in 2025, well ahead of the current consensus estimates for 10% to 15% YoY growth, as AI demand still outpaces capacity as management teams push AI investments to the forefront.

The weight of four Big Tech CEOs speaking in unison on this topic (risking overinvesting and building AI capacity before it’s needed) is either a staggering coincidence — or they have important insights that are leading to the same conclusion, which is that AI’s primary risk is for those companies that are not early enough to capture it.

For a deeper understanding of Big Tech’s AI capex spending and outlook, and crucial comments on AI capacity and ROI, read our August newsletter here.here.

Stemming from this prioritization of expanding AI capacity comes a rapid uptick in physical data center construction, along with other signs that data center demand is rapidly increasing.

In North America, data center capacity under construction has soared more than 70% YoY to 3.87 GW through the end of June – for comparison, construction in all of 2023 totaled less than 3.1 GW. Preleased capacity surpassed 3 GW, with Big Tech and GPU renting startups such as CoreWeave accounting for more than 80% of this upcoming capacity.

In addition to this surge in construction activity, data from CBRE points to asking rental rates also rising, driven by tight existing supply and strong demand. Asking rental rates have increased 6.5% to $174 per kw/month this year, following an 18.6% rise in 2023 and a 14.5% increase in 2022. To put it a different way, asking rental rates have jumped 45% since 2021 (as construction began to accelerate), from ~$120 per kw/month to $174 per kw/month.

Building and optimizing these new data centers to meet the increasing performance and efficiency demands of Nvidia’s and AMD’s next-generation GPUs is placing more emphasis on fiber optics and optical transceivers for high-speed and high-capacity data transmission. 

The I/O Fund strongly believes investors should look for demand signals for AI, which is why we steered away from best-of-breed software companies where AI revenue was entirely speculative and became a trap for investors, such as MongoDB or Snowflake. Big Tech does not use these software platforms, and therefore, the demand equation had not been solved. Instead, we focused tracking capex as it relates to AI semis and data center buildouts over the past 3 years, and that remains our strategy until we see capex contracts – with optics fitting well within this strategy.

Conclusion

As the industry gears up for Blackwell’s imminent ramp into 2025, we’ll be closely monitoring sequential growth in data center and networking segments, along with management commentary about the growth trajectories in optics as it unfolds. Optical transceivers and interconnects are becoming a key component in AI data centers due to transfer speed and other benefits, with the industry set to more than double over the next few years as data center construction surges along with hyperscaler AI capex.

Our Advanced members have received technical analysis updates and a possible buy plan for one of these optics stocks, as well as a handful of other AI stocks in explosive growth trends such as AI PCs.

Damien Robbins, Equity Analyst for the I/O Fund, contributed to this analysis.

Recommended Reading:

  • Broadcom Fiscal Q3: AI Revenue Outlook Raised, but Valuation is Stretched
  • Broadcom’s AI Revenue Surge Continues: FQ3 Earnings Preview
  • Marvell FQ2 Earnings: Rebound in the cards
  • Nvidia Q2: Blackwell Shipments to Begin in Q4
Posted in AI Stocks, Data CenterLeave a Comment on Optical Interconnects Overview: Strong Growth Expected Ahead

Prediction: Microsoft Azure To Reach $200 Billion In Revenue By 2028

Posted on September 9, 2024June 30, 2026 by io-fund
Prediction: Microsoft Azure To Reach $200 Billion In Revenue By 2028

This article was originally published on Forbes on Sep 05, 2024, 11:03pm EDTForbes on Sep 05, 2024, 11:03pm EDT

The period after the dot-com bubble including the financial crisis of 2008 were difficult years for Microsoft. The stock returned a mere 37% compared to Amazon’s 657.9% in the same time frame and Apple’s 5150%.

Microsoft, Apple, Amazon Chart Comparison

Microsoft’s stock greatly underperformed prior to Satya Nadella as CEO. Source: YChartsYCharts

Microsoft’s trajectory changed when Satya Nadella, formally of the Azure division, became CEO in 2014 after working his way up through the company over the course of 19 years to president of the cloud business. The stock is up 1,000% in the ten years since Nadella took the helm using his multi-decade cloud experience to steer a remarkable turnaround from a corporate reputation mired in fighting open-source communities and anti-trust issues. Since Nadella became CEO, the returns in Microsoft’s stock have exceeded Amazon and is tied with Apple, as of writing.

Microsoft, Apple, Amazon Chart Comparison

Microsoft’s stock has outperformed since Satya Nadella became CEO in 2014. Source: YChartsYCharts

The competitor Nadella faced in building Azure is arguably the toughest competitor in technology – Amazon Web Services (AWS); not only for the vendor lock-in qualities of cloud IaaS as migrating a tech stack is quite costly in both time and money, but also because AWS had the first mover advantage of a four-year head start. In the tech industry, a lead this long is considered insurmountable.

Over the past ten years, Microsoft strategically exceled by targeting the Fortune 500 with 85% running on Azure today. Retaining the Fortune 500 in the migration to the cloud was accomplished through hybrid computing where Microsoft was first-to-market on serving a mix of on-premise, private and public clouds for their large enterprise customers. As the leader in on-premise systems, Microsoft was perfectly positioned to win with hybrid architectures. The company took this a step further and undercut other services on prices across its suite of software and platforms to win aggregate, long-term contracts.

This past month, for the first time, Microsoft has announced it will be re-organizing its reporting segments, which will afford investors a better apples-to-apples comparison between Azure and AWS. According to Wells Fargo, the new Azure reporting segment stands at an estimated $62 billion as of June 2024, compared to $105 billion for AWS.

The lead we see from Microsoft today on AI revenue streams is critical enough and predictive enough that it points toward Azure surpassing $200 billion by 2028, catalyzed by the OpenAI investment, Copilot’s rapid integration into nearly every Microsoft software product, having the ace of spades — which is an operating system used in 72% of the world’s laptops and desktops, and perhaps the simplest reason of all —- Microsoft excels at the enterprise.

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New Azure Reporting Reveals 11-Points of AI Contribution

Microsoft offers investors unique insights as to the monetization opportunities for AI. Last year, in the FY2023 Q4 report ending in July, Azure officially inflected due to AI. Per the report: “Azure and other cloud services revenue grew 26% and 27% in constant currency, including roughly 1 point from AI services.” In four brief quarters, Microsoft is now reporting an 8% inflection from AI: “Azure growth included 8 points from AI services where demand remained higher than our available capacity.”

Later, it was stated in an updated FY25 investor presentation that Azure saw an 11 point contribution last quarter compared to the 8 points previously reported. The metric change is due to Microsoft removing Enterprise Mobility + Security (EMS) and Power BI (BPP) from Intelligent Cloud. It’s significant that Azure is seeing low double digits while AWS and Google Cloud are not reporting their exact contribution from AI, rather are remaining vague by saying “several billions” in AI revenue.

The reporting changes also update Azure’s growth rate to 33% for the fiscal year and an impressive 35% growth in constant currency. Prior to the metric changes, management guided for a slight deceleration in Azure growth in Q1’25, with growth of 28% to 29% in CC (vs 30% this quarter), yet they expect an acceleration in H2’25 as their capital investments increase AI capacity.

Microsoft FY25 Investor Metrics

Microsoft Azure recently updated metrics to show higher AI contribution of 11 points. Source: MICROSOFT FY25 INVESTOR METRICS

According to Wells Fargo, the new metrics suggest an annualized run rate for Azure of approximately $62 billion. Investors will get the official number in next quarter’s earnings report.

Management has stated the primary issue is being capacity constrained, which all things equal, is bullish for the medium-term as it implies demand exceeds supply for Azure AI and Azure’s consumption business. Per management in the most recent earnings call: “And in H2, we expect Azure growth to accelerate as our capital investments create an increase in available AI capacity to serve more of the growing demand.”

Azure AI is a platform for developing custom AI applications and solutions. Companies use Azure AI to integrate generative AI and multimodal language models into their applications for features such as search, image recognition, natural language processing, speech to text and other AI features using developer tools, such as APIs and SDKs. The platform also offers lifecycle management for data preparation and model development and training for machine learning, supporting popular frameworks PyTorch and Tensorflow. Azure OpenAI provides access to OpenAI’s GPT-4, GPT-3.5, Microsoft’s DALL-E models, and Meta’s Llama models for companies to build custom generative AI applications and AI assistants. Companies run models on their data to improve workflows through Azure AI Studio.

Azure AI customers totaled more than 60,000, implying customer growth rate of nearly 60% YoY and up over 13% vs Q2’24 with average customer spend continuing to grow. The number of Azure AI customers using data and analytics tools also grew nearly 50% YoY.

Where Azure stands apart is that its security segment is one of the largest in the world. In 2023, it was stated Microsoft’s security segment was at $20 billion with 860,000 customers. The number of customers has been updated to 1.2 million, and if we do some simple math, that would imply the security segment is at $28 billion today – far exceeding all best-of-breed cybersecurity companies combined.

Beth's Microsoft Twitter Post

Also tied to Microsoft’s strong presence in security, the Federal Government often gets overlooked in terms of its AI impact to Azure. In a blog post, the company CTO Bill Chappell wrote: "[…] generative AI capabilities through Microsoft Azure OpenAI Service, can help government agencies improve efficiency, enhance productivity, and unlock new insights from their data. Many agencies require a higher level of security given the sensitivity of government data. Microsoft Azure Government provides the stringent security and compliance standards they need to meet government requirements for sensitive data."

Key metrics for Microsoft have been on fire lately. Bookings increased 17% YoY and 19% on a constant currency basis. This was significantly above expectations and driven by growth in the number of $10M+ and $100M+ contracts for Azure and Microsoft 365. This compares to 29% growth (31% on CC basis) in Bookings last quarter and compares to a -2% decrease (-1% on CC basis) in Bookings in the year ago quarter. Commercial RPO grew by 20% YoY to $269 billion. This compares to 20% growth last quarter and 19% YoY growth in the year ago quarter.

Commercial RPO YoY

Source: I/O Fund Stock ResearchI/O Fund Stock Research

If Azure were to continue its growth rate today on the assumption that any acceleration from AI offsets a deceleration on traditional cloud revenue (due to repatriation from moving cloud workloads to on-prem, for example), then Azure would reach revenue of $178.3 billion by 2028. That’s the bare minimum base case.

If we assume that AI contributes an additional 10 points for the next two years, and then tapers off to 8 points of AI contribution, and finally 4 points of AI contribution due to a higher revenue base, while also offsetting up to a 6-point decline in traditional cloud workloads, then Azure will reach $206.7 billion by FY2028 (ending in June of 2027).

Azure Revenue

Source: I/O Fund Stock ResearchI/O Fund Stock Research

There are some analysts forecasting $41.6 billion for AI revenue for AWS by 2027. It’s reasonable to assume Microsoft’s AI revenue will be higher as it’s the only company reporting details on AI revenue across the Big 3 and at a double-digit percentage of 11% nonetheless (or about $7 billion in AI revenue) compared to vague comments of “several billions” of AI revenue from Azure’s competitors, and likely to be the $3 to $4 billion range. Therefore, assuming Microsoft has $55 billion in revenue by 2027 compared to AWS’ $42 billion is a reasonable assumption.

Every Thursday at 4:30 pm Eastern, the I/O Fund team holds a webinar for premium members to discuss how to navigate the broad market, as well as various stock entries and exits. We offer trade alerts plus an automated hedging signal. The I/O Fund team is one of the only audited portfolios available to individual investors. Learn more here.Learn more here.

Copilot’s Rapid Integration

While OpenAI’s Chat-GPT and Google’s Bard /Gemini have gotten all of the attention, Microsoft has been quietly building an AI software empire with Copilot. Copilot features are designed to boost productivity and are integrated across consumer and enterprise software, including Windows, Edge, Office, Bing, Teams, Loop, Dynamics and Viva.

Copilot utilizes large language models that require Azure consumption. To prepare for this moment, Microsoft invested $1 billion in Open AI in 2019. Over the last five years, Microsoft has increased its investment to $13 billion. Open AI’s Chat-GPT are some of the large language models that power Microsoft’s Copilot. OpenAI leads the market on LLMs and every time Chat-GPT is integrated into a product and used across OpenAI’s user network, money funnels to Azure as Microsoft is the exclusive cloud provider in exchange for allowing OpenAI to access Azure’s infrastructure at a reduced cost. Around the time that Chat-GPT was noticed by Wall Street, Microsoft’s management team said the following about its impact on Azure:

“Second, even Azure OpenAI API customers are all new, and the workload conversations, whether it’s B2C conversations in financial services or drug discovery on another side, these are all new workloads that we really were not in the game in the past, whereas we now are.”

Developers pay between $10 to $19 per month for GitHub Copilot. According to the most recent earnings report, Copilot accounted for over 40% of GitHub’s revenue growth this year and is already a larger business than all of GitHub when Microsoft acquired it at $2 billion annual recurring revenue (ARR). GitHub Copilot has been adopted by over 77,000 companies, up 180% YoY.

Copilot Studio, a low-code tool for creating and maintaining copilots, saw a 70% QoQ increase in organizations using it to 50,000.

Copilot for Sales and Service is priced at $50 per user each, Copilot for finance is $30 per user, and for Dynamics data platform use cases, it’s priced as high as $1,397 per tenant. The highest cost is Copilot for Security, priced at $4 per hour, with an estimated monthly cost of $2920.

Although some of the upside from Copilot will be reported in other revenue segments outside of Azure, there are some tie-ins regardless of where Copilot is running. For example, enterprises need data to reside where Copilot can access it, which implies higher Azure revenue. On a more granular level, those who subscribe to Office 365 are often locked-in to Azure Active Directory (AD).

Today, Microsoft has more than 400 million 365 Commercial customer seats and 78.4 million 365 Consumer subscribers, giving a nearly ~480 million customer base to target for AI services. Assuming AI PCs help to spark a strong growth trajectory for Copilot, just a 10% adoption rate across both Commercial and Consumer by the end of the fiscal year would surpass $17 billion annual run rate. It’s likely the 10-year adoption rate will be well above 50% with an addressable market of up to 90% as more AI assistant productivity hacks are developed. This means Office 365 would land somewhere between $86 billion and $156 billion, equal to the current size of Azure or up to double the size of Azure on this revenue stream alone.

While Wall Street is worried about how much AI is costing, the I/O Fund is busy calculating how big the AI opportunity can get in the next few years and how investors can participate. Join our next webinar on Thursday September 12th where the Portfolio Manager will discuss potential entries for Microsoft and other AI-related stocks.our next webinar on Thursday September 12th where the Portfolio Manager will discuss potential entries for Microsoft and other AI-related stocks.

Copilot for Microsoft 365 is priced at $30 a month. The productivity tool combines large language models (LLMs) with the data in Microsoft Graph and Microsoft 365 apps. The use cases of Copilot in Word include giving users the first draft while saving the time on sourcing, writing, and editing the content. Similarly, Copilot in PowerPoint will help to create presentations based on previous content. Copilot in Excel can analyze trends from the data, create charts, and assist in making informative decisions.

In the second full quarter of availability, the number of people using Copilot for Microsoft 365 nearly doubled QoQ. Copilot customers increased 60% QoQ and the number of customers with over 10,000 seats more than doubled QoQ.

Power Platform, a collection of low-code development tools, saw MAUs rise 40% YoY to 48 million. 480,000 organizations have also used the AI-powered capabilities in Power Platform, up 45% QoQ. As stated, Power Platform will no longer be reported in Microsoft’s Azure segment

Copilot on the Verge of Becoming Ubiquitous

Windows operating system is in 72.3% of desktop and laptops. When you consider that Windows has most recently launched on an Arm-based PC with Qualcomm, and will also launch next year with AMD and Nvidia, that market share is likely to grow rather than contract. Similar to the penetration rate of Office 365, Windows dominates PCs regardless if the OEM is Dell, HP, Lenovo, Acer, Asus, LG, Samsung or Microsoft Surface.

Copilot+ for Windows is a sidebar that helps Windows users change settings, find files or summarize text across a desktop. Recall is a feature that helps a Windows user find documents, emails and web pages when a user simply states how they recall the file or digital asset. On some Surface laptops, there is a Copilot key, a digital pen enhanced with AI, sound and voice features enhanced with AI, and enhanced AI cameras.

Both Arm-based and x86 AI PCs are ramping this year with a CPU + GPU + NPU combo that will, in turn, proliferate Copilot+ for Windows, the AI assistant that requires a minimum of 40 TOPS (trillions operations per second). The neural processing units (NPUs) are powerful enough to deliver the official kickoff of AI edge computing as Copilot+ runs AI tasks locally on the AI PC and integrates them into various applications. This is an important moment for AI as prior to NPUs exceeding 40 TOPS, workloads were primarily sent to the cloud. By running AI assistants locally on the computer, suggestions will be faster and more accurate.

Qualcomm’s Snapdragon X Elite and Plus processors were released this last summer and offer the first GPU, CPU and NPUs that exceed 45 TOPS for AI tasks for Microsoft’s Copilot+ with a long battery life of over 12 hours. This week, Intel released its second-generation Core Ultra chips capable of reaching 48 TOPS that offers a long battery life of over 10 hours with the added benefit of running legacy x86 software without compatibility issues.

Canalys is projecting AI PC shipments to rise at a 44% CAGR from 2024 to 2028, from an estimated 48 million PCs this year, before doubling to more than 100 million in 2025 and rising to over 205 million by 2028. Cumulative shipments of AI PCs are projected to surpass 600 million over the next four years. I’ve covered additional information on the growth of the AI PC market here.

Within this rapid growth, commercial adoption is forecast to be higher, at approximately 60% by 2028 versus 40% for consumer. This is due to the productivity gains that AI PCs can enable via powerful on-device AI as well as benefits to software developers and related roles. For example, Dell’s XPS and Latitude 7455, equipped with the Snapdragon X Elite can support 13 billion-plus parameter models which means customers can run popular models like Llama 3 directly on their PCs. The fact that commercial adoption will be higher than consumer adoption is a boon for Microsoft Copilot and its suite of enterprise AI-enabled applications and platforms.

Microsoft’s Capex Spending Highest Among Cloud IaaS Providers

Microsoft is unabashedly spending tens of billions on AI infrastructure. In the last earnings report, the company announced strong QoQ increase to its capex for AI infrastructure. Capex was $14 billion last quarter, when it grew 22% sequentially. Microsoft’s capex increased 36% sequentially and 78% YoY to $19 billion in Q4.

Full year 2024 capex was up 75% YoY to $55.7 billion, yet this quarter’s run rate suggests we could see up to $80 billion in capex in FY2025. Compare this to cloud IaaS leader AWS which reported H1 capex of $30.5 billion for a run rate in capex of just over $60 billion. Notably, management is guiding for a further YoY increase in capex in FY’25. I have covered the importance of Big Tech’s capex for AI stocks in an analysis here and also in a previous webinar.an analysis here and also in a previous webinar.

Big Tech management teams have been getting an earful from Wall Street on when investors can expect to see a return. Private investors are busy calculating what level of revenue these companies must generate, estimating the return will need to be as high as $600 billion to justify the revenue Nvidia has reported in its data center segment.

Therein lies the disconnect, which is that Microsoft’s CFO, Amy Hood, states they are capacity constrained – implying the opposite problem, that the capex they’ve allocated is not nearly enough to serve Azure AI demand. Per the last earnings call: “We are – and we've talked about now for quite a few quarters, we are constrained on AI capacity. And because of that, actually, we've, to your point, have signed up with third parties to help us as we are behind with some leases on AI capacity. We've done that with partners who are happy to help us extend the Azure platform, to be able to serve this Azure AI demand. And you do see us investing quite a bit as we've talked about in builds so that we can get back in a more balanced place.”

Microsoft’s management team also pointed out about 40% of capex is spent on land, which is a long-term asset, and the rest is tied to a demand signal for inference. The CFO stated: “even in the capital spend, there is land and there is data center build, but 60-plus percent is the kit, that only will be bought for inferencing and everything else if there is demand signal.”

Therefore, investors have an important decision to make. On one hand, investors could listen to the bearish undertones that high capex spending will not be returned to investors over time, or on the other hand, view high capex spending as a bullish signal of the overflow in demand that will sustain for many years to come, with AI consumption well exceeding the capex being spent to build the infrastructure.

Conclusion:

In 2022, I wrote an 8,300 word analysis entitled Special Report: The New Kings of Tech for our research members that tied together key points on how to position our readers for AI’s big moment – well in advance of Nvidia’s stock surge. Part of this analysis was to emphasize that our readers should shift their mindset from consumer-facing stocks to enterprise-facing stocks. This is not easy to do given the FAANGs are primarily consumer stocks, and it was consumer that drove historic gains for the market over the past decade.

Here is what I wrote at the time:

“The adage is that history rhymes but it does not repeat. I believe a large addressable market is certainly required to produce the new wave of FAANGs – however, rather than consumer driving the gains, I believe it will be enterprises. Below, I discuss the enterprise-level market that will be four times larger than mobile and two stocks that will directly participate. Imagine participating in 4X the FAANGs by 2030. That’s what I believe will happen due to one key trend and I discuss exactly why this will be achieved below.” -I/O Fund’s Special Report: The New Kings of Tech, June 5th 2022

Nowhere will the AI enterprise advantage be more evident than with Microsoft’s steady ascent over the next ten years, which I believe will end with Microsoft firmly on top in nearly every category the company competes in. A few years ago, I predicted Nvidia would Surpass Apple by 2026. At the time, Nvidia had a $550B market cap and the mere thought was inconceivable . To that point, I purposely did not say Nvidia would surpass Microsoft — as once the AI opportunity fully plays out —- this company will be a tough one to catch.

Please note: The I/O Fund conducts research and draws conclusions for the Fund’s positions. We then share that information with our readers. This is not a guarantee of a stock’s performance. Please consult your personal financial advisor before buying any stock in the companies mentioned in this analysis.

Recommended Reading:

  • Nvidia Stock Is Selling Off: It’s Not Because Of BlackwellNvidia Stock Is Selling Off: It’s Not Because Of Blackwell
  • Nvidia Stock: Blackwell Suppliers Shrug Off Delay Ahead Of Q2 EarningsNvidia Stock: Blackwell Suppliers Shrug Off Delay Ahead Of Q2 Earnings
  • Arm Stock: Buy Its Customers, Not The StockArm Stock: Buy Its Customers, Not The Stock
  • Big Tech Battles On AI, Here’s The WinnerBig Tech Battles On AI, Here’s The Winner
Posted in Cloud, Tech StocksLeave a Comment on Prediction: Microsoft Azure To Reach $200 Billion In Revenue By 2028

Broadcom Fiscal Q3: AI Revenue Outlook Raised, but Valuation is Stretched

Posted on September 6, 2024June 30, 2026 by io-fund

Broadcom boosted AI revenue outlook for the year from $11 billion to $12 billion. Based on the forecasted $51.5 billion in revenue in fiscal 2024, AI is expected to contribute more than 23% of Broadcom’s revenue this year.

During the CEO’s opening remarks, more information about Q3’s AI revenue and Q4’s AI revenue was provided: “AI demand remains strong and we expect, in Q4, AI revenue to grow sequentially 10% to over $3.5 billion. This will translate to AI revenue of $12 billion for fiscal '24, up from our prior guidance of over $11 billion.” The issue is that AI revenue was flat QoQ compared to being up 35% QoQ last quarter.

Overall, Q3 did beat yet Q4’s guide was a bit light, with Broadcom forecasting revenue of $14 billion next quarter versus consensus for $14.04 billion. Semiconductor solutions revenue growth also missed growth forecasts with YoY growth of 5%, while estimates from Oppenheimer expected 7% growth.

The stock is priced to perfection, and we do not think this earnings report is not enough to sustain the valuation. We discuss this and more below.

Revenue

Broadcom beat Q3’s revenue estimates marginally and was one percent ahead of consensus estimates, compared to a nearly 4% beat last quarter. Q4 was also guided slightly below analyst estimates. 

  • Q3 revenue was $13.07 billion for YoY growth of 47.3%, accelerating 430 bp from 43% YoY growth in Q2. Excluding VMWare’s contribution, YoY growth was 4%.
  • For Q4, management guided for $14 billion in revenue, for YoY growth of 50.6%, marking another 330 bp acceleration, but short of the 51% growth estimate from analysts.
  • For FY24, management did not provide an updated revenue guide, with the previous guidance provided of $51 billion. However, given Q4’s guide, revenue for FY24 is projected to be $51.5 billion.

As probably the most-closely watched (and most anticipated) figure, AI revenue for FQ3 was $3.1 billion, flat QoQ. Through Q3, AI revenue totaled $8.5 billion. For fiscal 2024, Broadcom increased its AI revenue outlook to $12 billion, a 20% increase from $10 billion in Q1 and another $1 billion increase from last quarter’s view for $11 billion. The increased outlook is driven by strong growth for Ethernet and ASICs, and implies Q4 AI revenue of $3.5 billion, up nearly 13% QoQ.

The issue that remains is, will this AI revenue be enough to justify the valuation (in the near term)?

Key Segments

Semiconductor solutions revenue was $7.27 billion, increasing 5% YoY and 1% QoQ. This was a 100 bp deceleration from 6% YoY growth last quarter, while also falling short of estimates, with some analysts expecting growth of ~7% YoY and 2% QoQ.

  • Networking grew 43% YoY to $4 billion. Ethernet switching, driven by Tomahawk 5 and Jericho3-AI grew over 4x year-on-year. We’ve covered these products here. Within networking, lasers and dies used in optical interconnects grew 3X, PCI Express switches grew 2X and Broadcom is shipping 5nm 400GB NICs and 800GB DSPs.
  • The CEO stated non-AI networking bottomed in Q2 and was up 17% QoQ yet down (-41%) YoY
  • The CEO stated custom AI accelerators grew 3.5X year-over-year. Notably, we did not get a QoQ number which is where the weak metric was at $3.1B AI revenue flat QoQ.

Infrastructure solutions revenue was $5.80 billion, accelerating to 200% YoY growth from 175% YoY in the prior quarter. The segment was up 9.7% QoQ and this segment also grew QoQ last quarter, which helps to illustrate the acceleration from VMWare.

  • VMWare contributed $3.8 billion with the acquisition helping to drive the strong YoY growth.
  • VMWare’s annualized booking value (ABV) was up 32% QoQ to $2.5 billion, and is shaping up to be a major piece to Broadcom’s story. You can read more about this here. Two quarters ago, the ABV for VMWare was $1.2 billion, proving there has been a sudden acceleration underway. The VMWare segment is expected to be quite profitable, achieving adjusted EBITDA of $8.5 billion by next fiscal year. During the Q&A portion, it was discussed the overall software margin will remain between 80% and 90%.

Aligned with the commentary that the non-AI segments have bottomed (with the exception of Broadband), the remaining revenue segments reported QoQ growth despite being down double digits YoY.

  • Server storage connectivity revenue was $861 million, up 5% QoQ yet down (-25%) YoY. Server storage is expected to grow QoQ yet will be down YoY
  • Wireless revenue of $1.7 billion grew 1% YoY and is expected to grow 20% QoQ next quarter.
  • Broadband revenue declined 49% YoY and is expected to bottom in the beginning of 2025.

On the call, an analyst asked if these segments will return to prior levels, to which the CEO stated they would and he cited bookings as an indication the bottom is likely behind them.

Hock Tan:

“As you all know, we've gone through your typical down cycle of semiconductors. And I'm referring particularly to non-AI, and we have talked about that before many times. We've gone through a down cycle as the ecosystem, as many of our customers, but the broad ecosystems, work on an adjustment in inventory levels in all stages in the supply chain. And we're not immune from it, obviously as we try to insulate ourselves from it as much as possible. We've gone through it. And the signs on the indications we have seen very clearly is we have, in fact, passed through the bottom. The best indicator is the bookings we are receiving. In non-AI, our bookings in Q3 of non-AI semiconductor demand is up 20%. And so that tells us we are well on the way to recovery.”

Margins

As outlined in our pre-earnings analysis, the VMWare merger integration has weighed on margins so far in fiscal 2024, though Q3 showed more positive signs on margin recoveries. Adjusted margins strengthened sequentially across the board, with larger growth visible down the line.

  • Gross margin was 63.9% in Q3, down from 69.5% in the year ago quarter but up from 62.3% in Q2. Adjusted gross margin was 77.4%, up from 75.1% last year and 76.2% last quarter.
  • Operating margin was 29.0% in Q3, up from 23.7% last quarter and a remarkable increase from 17.3% in Q1; however, Q3’s margin remained much lower on a YoY basis, down from 43.4% last year. Adjusted operating margin was 60.8%, up from 57.2% last quarter but decreasing from 62.4% last year.
  • Net margin was (14.4%) for Q3, due to a one-time non-cash tax provision of $4.5 billion in the quarter. Adjusted net margin was 46.8%, up from 43.2% last quarter but down from 51.8% last year.

Regarding the tax liability, there was a question in the Q&A session if it was related to selling assets, to which the CFO responded that it was not due to a sale of assets, rather: “It's just we relocated the IP and that caused the $4 billion charge. The offset to that is a deferred tax liability. So think of that as noncash, very little cash impact to that.”

EPS

GAAP EPS was ($0.40), not comparable to estimates for $0.55 due to the $4.5 billion tax provision in the quarter. Adjusted EPS was $1.24, beating estimates by $0.04, and representing YoY growth of 18% and QoQ growth of nearly 13%.

Adjusted EPS growth is currently estimated to accelerate to nearly 24% YoY in Q4, and to the low-30% range for the first half of fiscal 2025. Given the sequential rebound in margins (partially due to better controlled costs at VMWare) and adjusted EPS beat in Q3, these growth projects may get revised higher in the coming days.

Q3’s adjusted EBITDA was 62.9%, with growth of 42% YoY to $8.22 billion. This was a solid improvement from 59.5% in Q2. Management guided for a 64% adjusted EBITDA margin in Q4, with the sequential improvement being driven by the integration of VMWare as Broadcom charts a path to pre-acquisition EBITDA margins.

Cash Flows and Balance Sheet

Cash flows and cash flow margins improved sequentially, while total debt took a step lower this quarter.

  • Operating cash flow was $4.96 billion, increasing more than 5% YoY and 8% QoQ. Operating cash flow margin as 38.0%, improving from 36.7% last quarter, though this is lower than pre-acquisition margins of 53.2% in the year ago quarter.
  • Free cash flow was $4.79 billion, rising more than 4% YoY and nearly 8% QoQ. Free cash flow margin was 36.7%, increasing from 35.6% last quarter but also lower than the 51.8% margin in the year ago quarter.
  • Cash, equivalents and investments totaled $9.95 billion.
  • Total debt was $69.96 billion at the end of Q3, down from $74.02 billion in Q2, with Broadcom repaying more than $9.2 billion of debt in the quarter, offset by nearly $5 billion in proceeds from long-term borrowings.

Valuation:

Broadcom is priced for perfection at 32 forward PE Ratio and 14 forward PS Ratio. We’ve covered semis since 2018 and a quality semiconductor stock rarely trades at these levels, it’s normally in the 6-8 forward PS range.

The 3-year median is only available on current PE Ratio, but I have a 3-year PE ratio of 28.5 compared to the current PE ratio of 65.8. The 5-year median is at 39.5.

Earnings Call:

Analysts asked in various ways what growth rate they could expect on AI revenue moving forward, but to no avail on any specific numbers. Here was the first question on the call:

Question
Vivek Arya (Analysts)

Just a clarification, Hock, and then the question. So I think AI revenue roughly $3.1-ish billion in Q3, flattish sequentially. What was the mix in terms of compute versus networking? And the $3.5 billion for Q4, what do you see of that mix? And then as we get into fiscal '25, I realize you're not guiding overall AI, but just how is your general kind of confidence and visibility? Do you think that Broadcom can kind of grow in line or better than the overall AI silicon industry in fiscal '25?

Answer
Kirsten Spears (Executives)

Yes. Well, as we indicated in the last earnings call, for this past quarter, I think we're talking about 2/3 in compute and 1/3 in networking. And we kind of expect Q4 to run the similar trend. And to answer your second part, no, we don't guide yet for fiscal '25, but we do expect fiscal '25 to continue to be strong, to show strong growth on our AI revenue.

-End Quote

There was a more tempered tone in terms of timing. For example, when asked where custom silicon is in the adoption curve, it was stated it will take some time.

Question
Edward Snyder (Analysts)

Right. That basically suggests that you're on the early part of your curve where I'm not trying to call the GPUs whatever, but you could be getting to something closer to the peak of the GPU market just because everything, right, beside the cost expense and as you're spending all this money and you're paying all this money for power, the ASICs become more and more attractive. So the curves are going to look different, right?

Answer
Hock Tan (Executives)

It's an accelerating curve. It may take longer than we all want it to happen but definitely accelerating because the size of the demand from those hyperscalers will totally rival that in the enterprise.

-End Quote

Conclusion:

Given AI growth has plateaued this quarter from its rapid growth, there will likely be a re-rating of Broadcom’s valuation sometime in the next 1-2 quarters. Our goal is to trim this position and buy back at lower levels. This strategy requires remaining steadfast to the bigger picture as this company is setting up to be a clear winner over the next decade. We want to do our best at actively managing the position while not losing sight of the bigger picture. With that said, valuation is a common pitfall for tech investors, who grow complacent with their positions. Our firm works to avoid valuation traps, and thus we plan to follow our disciplined process, which is to actively manage stocks that are richly valued.  

Damien Robbins, I/O Fund Equity Analyst, contributed to this analysis

Recommended Reading:

  • Broadcom’s AI Revenue Surge Continues: FQ3 Earnings Preview
  • Nvidia Q2: Blackwell Shipments to Begin in Q4
  • Positions Update: Nvidia, Broadcom, and Bitcoin
  • Microsoft Fiscal Q4 2024 Earnings: Capex Surges QoQ; Azure Remains Durable
Posted in AI Stocks, SemiconductorsLeave a Comment on Broadcom Fiscal Q3: AI Revenue Outlook Raised, but Valuation is Stretched

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