Skip to content
Logo-main-white.860316a8

I/O Fund

  • Home
  • Free Stock Analysis
  • AI Stocks
  • BEST OF 2025
  • Analysts
  • Nvidia Hub
  • About
    • Case Studies
    • About Us
    • Premium Services
    • Pricing
    • Notable Wins
    • I/O Fund Reviews
    • Media
  • Contact Us

Category: AI Stocks

AMD Q1 Earnings Preview: $3.5B GPU Revenue is the Benchmark

Posted on April 30, 2024June 30, 2026 by io-fund

AMD heads into its fiscal Q1 report with rather high expectations, after management raised FY2024 GPU revenue forecast by 75% last quarter to $3.5 billion plus. Earnings reports last week from Microsoft, Meta and Google reaffirmed a bullish outlook on AI infrastructure spending for 2024, with all three combining for at least $135 billion in capex this year, with management commentary signaling a bulk of that spend will go to data center infrastructure and GPUs.

Therefore, data center revenue and GPU commentary are in focus this report. Yet, it’s key to be objective, and to note for our Members that some analysts are toning down estimates on the data center. Given the channel checks that analysts can do on a company like AMD, the polarized nature of the commentary going into the print tomorrow is interesting. We include analyst commentary below.

As a reminder, just last quarter analysts were setting a very high bar with some pushing for a $6 billion GPU revenue guide for the full year. We are seeing as low as $4 billion and as high as $8 billion. This wide of a range on a key metric is highly unusual, — and investors should be aware, it’ll be nearly impossible for AMD to beat the high-end of the FY expectations for the data center in Q1.

Therefore, it’s important we come up with our own expectations, of sorts. Broadcom is in second place with $1.5B in AI revenue, or $6B annual run rate. Due to analysts muddying the water a bit here on what is reasonable for a Q1 discussion on the call tomorrow, I think a decent goal (and win) would be for AMD to have GPU revenue equal to 2023 data center revenue by the time we exit the year, which was $6B. This number is also in line with AVGO’s current AI revenue and is the midpoint of analyst estimates.

Revenue and EPS:

  • Q1 revenue was guided to be $5.4 billion, +/- $300 million, for YoY growth of approximately 0.9% and a QoQ decline of (12.5%). Analysts are expecting slightly higher revenues of $5.45 billion for YoY growth of 1.9%. As you can see above, Q1 should mark the bottom with a strong ramp into Q1 of next year.
  • Q1’s adjusted EPS is estimated to be $0.61, for YoY growth of 1.3%. Adjusted EPS growth is expected to accelerate to 90% by Q1 of next year.

Q2’s guide will be important to track. Susquehanna noted Monday, after lowering its price target, that it is “expecting in-line to slightly weaker guidance as Server/PC/XLNX/Gaming continue to weigh.” Q2 revenue is currently estimated to be $5.69 billion for YoY growth of 6.2%.

Key Segments:

Data Center: AMD guided for Q1 data center revenue to be approximately flat QoQ, implying revenues of $2.3 billion for YoY growth of ~77%. This is due to “a seasonal decline in server sales offset by a strong Data Center GPU ramp.”

Data center revenue, and more importantly, MI300 revenue is likely to be the most critical aspect of Q1’s report and Q2’s guide, as analysts are simultaneously resetting and increasing expectations for MI300 revenues in April. This will be discussed in more detail in the section “MI300 GPU Sales in Focus” below.

For the full year, management said “the largest incremental revenue opportunities are going to come from Data Center between both the server side gaining more share, and Data Center GPU side with the significant ramp up of our MI300.”

Client, Embedded, Gaming: AMD guided for Client, Embedded and Gaming segment sales to “decline sequentially, with semi-custom revenue expected to decline by a significant double-digit percentage.”

Margins:

Adjusted gross margin is guided to be 52% in Q1, a 120 bp QoQ expansion as data center mix increases.

Adjusted operating margin is expected to be 20%, a ~300 bp QoQ contraction and the lowest level in three quarters. However, data center operating margin has expanded significantly over the past two quarters, from 19.1% in Q3 to 29.2% in Q4. For context, DC generated $666 million in operating income in Q4, up 118% QoQ and the most of any of AMD’s segments.

CFO Jean Hu shed more light on both the trajectory of margins and DC margin in Q1 and the rest of the year:

“We guided the Q1, 120 basis points higher than Q4 sequentially, primarily because the higher Data Center contribution actually more than offset the decline of Embedded business in Q1. Going forward, the way to think about it is as you said is the major driver is going to be Data Center business is going to grow much faster than other segment. That mix change will help us to expand the gross margin nicely. I think you also are spot on, the Embedded coming back in second half, which will be a tailwind. With the Data Center GPU, we are at the very early stage of ramp. We are improving testing time yield and continue to expand gross margin and we expect to be accretive to corporate average. So, those are all the tailwinds coming in the second half. I would say the headwinds side continue to be in the first half where we see Embedded business not only Q1 we see sequential decline, Q2 probably are going to be sequentially flattish versus Q1.”higher Data Center contribution actually more than offset the decline of Embedded business in Q1. Going forward, the way to think about it is as you said is the major driver is going to be Data Center business is going to grow much faster than other segment. That mix change will help us to expand the gross margin nicely. I think you also are spot on, the Embedded coming back in second half, which will be a tailwind. With the Data Center GPU, we are at the very early stage of ramp. We are improving testing time yield and continue to expand gross margin and we expect to be accretive to corporate average. So, those are all the tailwinds coming in the second half. I would say the headwinds side continue to be in the first half where we see Embedded business not only Q1 we see sequential decline, Q2 probably are going to be sequentially flattish versus Q1.”

Cash and Debt:

AMD reported operating cash flow of $381 million in Q4 for a margin of 6.1%, and FY23 OCF was $1.67 billion for a 7.4% margin. Free cash flow was $242 million in Q4 for a margin of 4%, and FY23 FCF was $1.12 billion for a 4.9% margin.

Operating cash flow growth is expected to unfold as one of the larger fundamental recoveries in 2024. Current estimates point to nearly 277% YoY growth in OCF to $6.28 billion, or a margin in the 24% range based on current revenue estimates of $25.7 billion for the year.

AMD has $5.77 billion in cash and equivalents on hand, and total debt of $2.47 billion.

MI300 GPU Sales in Focus

As noted earlier, AMD’s MI300 GPU revenue outlook for the full year will be the most important data point coming out of Q1’s report, after AMD increased its outlook by 75% last quarter.

Analysts are hinting towards possible weakness in Q1 due to rumors of Microsoft cutting some orders, though other analysts are expecting full year GPU revenue of $8B, more than double AMD’s guide. This is setting up an interesting scenario in which even if AMD surprises with better-than-expected GPU revenue in Q1, the full year picture may still disappoint against outsized expectations for $4.5B+ all the way to $8B.

Here’s some recent analyst commentary and updated expectations for GPUs:

  • Susquehanna analyst Christopher Rolland said it is likely that “upward revisions to the MI300 are ‘necessary’ for the stock to move higher, especially as investor sentiment has cooled” following Nvidia’s GTC conference. “Buy-side expectations for the MI300 are as high as $8B, while Rolland estimates revenue from the MI300 for this year at around $5B.”
  • Deutsche Bank “believes the most anticipated aspect of the quarter will be any update to the company's 2024 outlook for MI300 revenues. On this metric, it thinks buy-side expectations have recently fallen on the back of suspected order cancellations by Microsoft, which are yet to be substantiated, but still are likely at a minimum of $4B.”
  • TD Cowen is expecting strength in the data center and “increased its MI300 2024 revenue estimate to $4.5B from $4B, saying ramps at several customers will continue to happen more quickly than typical.”
  • HSBC says that “market expectations for the company's MI300 2024 and 2025 revenue have been reset,” but thinks AMD “has enough supply capacity and demand to surpass management's artificial intelligence revenue guidance” for the year.
  • Baird believes “MI300X orders have been cut by a U.S. hyperscaler recently,” saying that the “magnitude of the initial order suggests it was a multi-year agreement, but it does not know whether the cut is due to market share shift or the hyperscaler scaling down to numbers more in line with shipment expectations.” Baird also “continues to believe there is ‘comfortable upside’ in AMD's artificial intelligence revenue guidance for this year, based on high-bandwidth memory order visibility.”
  • Wells Fargo analyst Aaron Rakers says the “focus on AMD is squarely on upside related to its MI300X accelerator chips,” and sees “a path towards AMD generating $8B in revenue from the MI300 (up from $3.5B to $4B), and wonder if there is a recovery in the traditional server market and an ‘underappreciated’ story in market share gain.” Rakers adds that concerns over Microsoft’s order cuts are “too narrowly cited."

While rumors for Microsoft’s order cuts are yet to be substantiated, there are further notes discussed on the site Tom’s Hardware that Microsoft is reportedly able to purchase MI300 GPUs at a 33% discount, at approximately $10,000 per GPU compared to a $15,000 price tag for other customers. This could present a margin headwind in Q1 should Microsoft account for a majority of GPU shipments in the quarter due to the pricing discrepancies.

In the bigger picture, to meet the lowest end of analysts’ GPU revenue estimates of $4 billion and $4.5 billion, AMD would need to boost its forecast by 15% to 30% — the question here is whether management has enough visibility after one quarter to confidently raise its full-year outlook to that extent after raising it by 75%.

Big Tech Capex Commentary

Capex commentary from Big Tech last week was directionally bullish, with Microsoft, Meta and Alphabet expecting to spend upwards of $135 billion this year, predominantly on AI infrastructure. This sets up a positive long-term picture for AMD to increase market share against Nvidia among the major hyperscalers, given AMD’s GPUs are available, can compete on performance, and undercut on price.

Microsoft increased its capex 80% YoY to $14 billion this quarter, and for the entire fiscal year, capex will increase approximately 50% YoY to more than $50 billion. Demand for Azure’s AI services is outpacing its capacity in the near-term, hence the need for Microsoft to accelerate spending to boost GPU supply.

Meta boosted its full year capex range to $35-40 billion, up from $30-37 billion, to build out AI infrastructure and support its internal AI roadmap. However, Meta’s Q1 capex was only $6.7 billion, implying that the bulk of this spend will hit in the second half of the year and accelerate into 2025. By the end of 2024, Meta is aiming to have 350,000 H100 GPUs and 600,000 total GPUs including H100 equivalents, leaving ~250,000 GPUs split between its custom processors and AMD’s MI300. Assuming AMD can capture 50% of that remaining 250K units, MI300 revenue to Meta may surpass $1.8 billion this year.

Alphabet’s capex rose 91% YoY to $12 billion in Q1, primarily for technical infrastructure – this capex spend was led by servers and followed by data centers. Management is expecting quarterly capex “to be roughly at or above the Q1 level,” implying a full-year capex around $50 billion.

Overall, the planned capex outlays and management commentary from the trio is ultimately bullish. Meta’s Q1 spend declined ~$300 million YoY, and was low compared to its full year forecast, and rumors for Microsoft’s order cuts can’t entirely be shrugged off. As such, there is a chance that Q1’s data center and MI300 sales come in light before finding strength in the back half of the year.

AMD Count and Game Plan

By Knox Ridley

This is the bullish count we’re following, and it’s the best interpretation higher given the price information. Here’s what we would guess based on the current technicals: we get a final drop into the $138 region, which will get bought, and then we push higher. If this is going to happen, we must hold $128. Below here and we could see a bigger drawdown take hold, as the below path higher will get invalidated.

Look at the red arrow in the chart above. That’s indicating a 3-wave bounce, which is usually corrective (suggesting lower). This is happening on momentum making a higher high with price making a lower high (common in downtrends). However, I think that what is missing is the final 5th wave lower before reversing. This is a very stretched downtrend pattern, so we should see a reversal soon.

Look for us to buy around $138 on a pullback or around $174 if we get a breakout. If price breaks below $128, we will risk manage the position. (Note: real-time trade alerts and weekly webinars reviewing IOF positions are offered for Advanced Members)

Insiders Activity

Since February of 2024, we’ve seen about $95M of insider sells. Lisa Su was about $50M of this total. Forrest Norrod and Victor Peng also had sales above $10M. The CTO sold about $8M. This is the largest cluster of sales since December of 2021. The synchronicity of four top tier execs, two on the same day, is not my favorite thing to see. We collect these details to help inform our decision if the stock should break a key level.

Conclusion

AMD’s Q1 report is one of the most highly anticipated reports of the quarter as the company is battling both lowered near-term estimates and heightened long-term expectations for GPU revenue. Analyst estimates on MI300s range from $4 billion to $8 billion.

AMD’s fundamentals are expected to improve throughout the year as data center sales accelerate, with operating cash flow growth of nearly 277% on top of an acceleration in EPS growth to the 90% range by the first quarter next year. We’re continuing to track Big Tech’s capex for signs on AI spending, and so far, there’s indications that spend will continue to increase for multiple quarters, leaving time for AMD to gain share.

Analyst estimates are showing a sizable rebound in H2. Let’s see what management says. Stay tuned for our post-earnings report in your inboxes tomorrow night.

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

Recommended Reading:

  • Q2 2024 Earnings Kickoff Webinar Replay
  • Super Micro Q3 Pre-Earnings: Puts and Takes for the AI Bullet Train
  • Lam Research Fiscal Q3 Earnings: A Tad Early to the 2025 Rebound
  • AI's Opportunity: Growth, Investment, and the Future
Posted in AI Stocks, SemiconductorsLeave a Comment on AMD Q1 Earnings Preview: $3.5B GPU Revenue is the Benchmark

Investing In AI with Beth Kindig: 1-Hour Video Interview

Posted on April 19, 2024June 30, 2026 by io-fund
Investing In AI with Beth Kindig: 1-Hour Video Interview

The rise of AI marks a transformative technological, economic, and societal inflection point — one with extreme implications for how we live and invest. So, how can investors take advantage of the trend? Jordi Visser, CIO and Chairman of Weiss Multi-Strategy Advisers, spoke to Beth Kindig on the Real Vision podcast on March 20th, to dive deep into AI’s potential for explosive economic growth, how to find winners in this theme, sectors that benefit from AI, the potential for crypto to decentralize AI, and more.

Watch the full interview on Real Vision here: Real Vision Video: AI Opportunity (youtube.com)

AI’s Impact Much Larger Than Mobile

The multi-trillion dollar impact to global GDP is the reason AI will shape up to be such a transformative and explosive trend – much like smartphones, which revolutionized countless facets of our lives, added trillions to the global economy, and created multiple trillion-dollar companies and billion dollar industries.

AI is shaping up to be multiple times larger than mobile – to the tune of 3x to 5x larger over the course of the next decade. Beth explains to Jordi that for AI’s impact on GDP, she has “seen $15 trillion, but McKinsey and others are now raising it to a $25 trillion impact on GDP. You can assume mobile is $3 to $4 trillion, maybe $4 to $5 [trillion], depending on how you chop up smartphones, applications, app stores, things like that. Let’s just give it the highest estimate of $5 trillion – [for AI], we’re looking at 3x minimum, 5x right now and these estimates keep getting raised […].”

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

Source: I/O Fund

This profound economic growth opportunity from AI is “something we’ve never seen before.” It stems from AI’s product-market fit — solving clear problems, driving down costs for enterprises and boosting worker productivity — and when you “match it with the right product, what you have is this hockey stick explosive growth.”

A Cautionary Tale of Consolidation

Even with such an explosive growth forecast for AI, it may still face a similar hype cycle trajectory as many other facets of tech do.

Just as with other innovative technologies, for AI, it’s likely that we will “go through a lot of innovation that is absolutely necessary… but then over time, the hype phase on the user side [fades] and those businesses don’t last.” This has happened in all facets of tech, from mobile to gaming to one of the most notable for tech investors, the dot-com bubble.

Beth cautions that you can “expect something similar to happen with AI as what we’ve seen in mobile, [and] maybe even at a higher rate.” For context, “a wave of innovation such as mobile will often put on the market 2 million apps, but in the long run, fast forward 10 years, most people use about 10 [apps].”

According to Crunchbase data, there are nearly 10,000 AI startups, while a more specific look in generative AI shows nearly 800 startups. Of that 800, 67% are still early stage, while only 2% are late stage. This comes despite a 5x surge in generative AI investments to almost $22 billion in 2023, with funding concentrated in OpenAI, Anthropic, and Inflection AI.

This sort of proliferation of companies creating different AI apps and use cases is definitely a positive outcome, but it’s extremely unlikely that all 10,000 companies participating in the AI economy survive, with consolidation occurring via acquisitions to even bankruptcies for the smaller bootstrapped startups.

Generative AI Startups by Stage

Source: CB Insights

There will ultimately be winners in AI, and there’s one critical piece that sets these companies apart: data.

Data Will Create the Winners

For AI, data will separate the winners from the rest of the pack, due to the high costs of training AI models and the need for high-quality data sets to train said models.

Google, Meta, Amazon, and Microsoft have all invested tens of billions into AI development for years, and can quickly and effortlessly integrate AI into their established business models.  For example, Beth explored in June 2023 how AI could drive $100B in revenue for Microsoft by 2027, from OpenAI’s APIs running on Azure, to AI integrations and partnerships via Bing, and the rollout of Copilot, among other drivers.

Sign up for I/O Fund's free newsletter with gains of up to 221% – Click hereClick hereClick here

What sets Big Tech, and these four companies apart, is that they have huge proprietary data sets that they can use to train AI models for various different purposes. Beth points out that “now we have an issue where, if you are a startup or small company, do you even have the data set to train these models? A lot of people have followed Tesla for a long time, what are the chances that Tesla would ever give away the data set that their fleet has created and generated over the last however many years. They’re going to protect that with everything they have, not only because of the costs that it required to create that data set, but because it’s really their secret sauce.”

Small companies not only will struggle to build out AI infrastructure due to the substantial costs with building out physical data center infrastructure and acquiring GPUs, but will also struggle with developing and fine-tuning high-quality AI models due to the challenges and costs associated with having a large enough proprietary data set. In this sense, large proprietary data sets create a ‘winner takes all’ or ‘winner takes most’ market, led currently by the Magnificent 7. Open-source movements could change this but how/when is speculative at this time.

Show Love to the Semiconductors

Jordi asked Beth what sectors she likes in AI, and her response was: “get comfortable with semiconductors.” She has done exactly that — of the I/O Fund’s more than 45% allocation to AI stocks in 2023, 40% of that was semiconductors, helping the fund power to a 57% annual return last year.

Semiconductors are powering Big Tech’s AI aspirations, and Beth explained that these companies are “50% of the AI market; that’s up from 20% or 30% of the mobile market, and they will be, for us, the right way to participate in AI in the near term.” She added that one of the main takeaways that she hopes for investors to get from the interview is that “these semiconductors will become the AI software players.”

This is evident with Nvidia – not only is it monetizing hardware sales via its Enterprise software suite for $4,500 per GPU per year, but also some of its biggest announcements at GTC were software, with its Omniverse Cloud APIs and Omniverse integration with Apple’s Vision Pro headset.

Preparing for the Next Phase of AI

While semiconductors have dominated in hardware – the data center – as the first explosive phase of AI, will expand beyond them to the edge. The forthcoming upgrade cycles for smartphones and PCs will see Edge AI rise as the second wave of AI. Beth explained that “there’s only so much AI can do in the data center. Inference has to run close to the user.”

We’re already seeing signs of this unfolding – Samsung is partnering with Baidu to use the Chinese tech giant’s AI chatbot Ernie in its S24 smartphones, while Apple is in discussions to also use Ernie in its Chinese devices. AMD, Apple, Qualcomm and Intel are all releasing new PC chips to boost AI computing power two to four-fold from prior generations in an effort to facilitate AI inference on these local devices.

The I/O Fund is currently preparing to capitalize on edge AI as it will be an important trend that has yet to emerge. We have been sharing in-depth research on the next stocks poised to capitalize on edge AI with our premium members and we discuss potential entries and exits every week in a one-hour webinar on Thursdays. We also 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.

AI Is Not a Trend to Ignore

While many are quick to say that AI is merely just a ‘buzzword’, those who are in the know were able to get in front of 2023’s big move. AI is not a trend to miss or ignore, and it offers investors a rare opportunity to get onboard in the early stages of one of the largest economic and transformational trends in tech.

The $3 trillion to $5 trillion mobile economy sprouted the FAANGs of today, and if you could’ve invested in the FAANGs 10 to 15 years ago, you would have, given that multi-trillion dollar potential. Today’s estimates put AI at 3x to 5x larger than mobile in terms of overall impact to GDP, and  we’re only in the first of multiple powerful AI waves. And as a leading portfolio in AI, the I/O Fund is preparing to capitalize on this once-in-a-lifetime trend.

Watch the full 1-hour interview for the in-depth view on AI’s potential, what sectors will benefit and which will be a “hot potato” to avoid, crypto and AI, and more.

If you own AI stocks, or are looking to own AI stocks, we encourage you to attend our weekly premium webinars, held every Thursday at 4:30 pm EST. Next week, we will discuss a handful of AI plays for 2024 – what our targets are, where we plan to buy as well as take gains. Learn more about I/O Fund’s premium services here.

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:

  • Semiconductor Stocks Q4 Overview: AI Gains Heat Up
  • Arm Stock: AI Chip Favorite Is Overpriced
  • Top 3 Ad-Tech Stocks For 2024
  • The Magnificent 7 Are Falling Like Dominos; Only 3 Remain
Posted in Ai Platforms, AI StocksLeave a Comment on Investing In AI with Beth Kindig: 1-Hour Video Interview

Semiconductor Stocks Q4 Overview: AI Gains Heat Up

Posted on April 15, 2024June 30, 2026 by io-fund
Semiconductor Stocks Q4 Overview: AI Gains Heat Up

This article was originally published on Forbes on Apr 11, 2024,03:58 pm EDTForbes on Apr 11, 2024,03:58 pm EDT

Semiconductor stocks are standout performers so far in 2024, with investor appetite for AI stocks remaining elevated as AI chip leader Nvidia continues its streak of high growth. Numerous chipmaking equipment and chip stocks outperform the broader indices on a YTD basis – sixteen have YTD gains above 20%.

For years, the I/O Fund has published on semiconductors being the leaders in tech as the building blocks and common denominators for the decade’s largest tech trends, most notably AI and high-performance computing, but also EVs, robotics, 5G, and IoT. Our premium research urged our members to look closely at semiconductors across these trends dating back to 2019.

These emerging trends, coupled with strong demand for AI and HPC applications at the moment, set semiconductors up as an ideal investment, supported by strong free cash flow generation. Below, we update our semiconductor sector analysis to look at which companies have performed well in the most recent quarter, and also which companies stand out on a forward-basis with revenue growth estimates, profits, cash flows and earnings surprises. We also look into key management insights.

Top Semiconductor Companies with the Highest Quarterly Revenue Growth Rates

Revenue Quarterly YoY

Nvidia led the semiconductor sector with 265.3% YoY revenue growth in Q4.

Source: YCharts

It should’ve been an easy guess that AI’s de facto leader Nvidia would sit atop the list here, as it reported more than 265% YoY revenue growth to $22.1 billion in its fourth quarter. Nvidia CFO Colette Kress said that Q4’s “data center revenue of $18.4 billion was a record, up 27% sequentially and up 409% year-over-year, driven by the NVIDIA Hopper GPU computing platform along with InfiniBand end-to-end networking. Compute revenue grew more than 5x and networking revenue tripled from last year.”

AI fueled gains outside of Nvidia as well – Micron is emerging as a big winner from surging AI demand. Micron’s recovery looks to be in full force as it reported nearly 58% revenue growth, driven by strong AI demand and increased pricing power stemming from a tighter supply environment.

However, we saw pockets of strength outside of AI – indie Semiconductor and Navitas Semiconductor both reported over 110% revenue growth, with primarily automotive and industrial end markets. ACM Research reported 57% revenue growth, and Qorvo followed with 45% revenue growth due to content gains at its single largest customer.

Sign up for I/O Fund's free newsletter with gains of up to 221% – Click hereClick hereClick here

Q4 Revenue Surprise

Quarterly Revenue Surprise

Cirrus Logic and ACM Research both beat quarterly revenue estimates by more than 14% in Q4, while AI favorites Micron, Arm, and Nvidia each beat by more than 7.5%.

Source: YCharts

Cirrus Logic reported a significant 14.6%, or $79 million, revenue beat in the December quarter (its fiscal third quarter) as it posted a record $619 million in revenue on strong smartphone shipments. This represented 29% QoQ and 5% YoY growth. Management said the $619 million was “significantly above our guidance range, as sales of components shipping and smartphones exceeded our expectations, driven by strength in orders from our largest customer. Shipments stayed strong throughout the quarter, including the first holiday week, and we also benefited from an additional week of revenue in the quarter.” This uptick in smartphone shipments also aided Qorvo, who beat estimates by 7.1%.

Three of the Street’s AI favorites — Micron, Arm, and Nvidia — all beat revenue estimates by 7.6% to 8.8%. Strong AI-fueled memory chip demand aided Micron’s growth in the quarter, while strong GPU shipments and still-dazzling data center revenue growth served as a major contributor to Nvidia’s $1.6 billion revenue beat. Arm’s $61 million revenue beat was driven by record royalty revenue, with royalties for the newest v9 design underpinning the latest AI chips and other advanced smartphone chips, double that of the v8.

Revenue Growth Estimates for Current Quarter

Revenue Growth Estimates

Source: YCharts

If it’s not obvious which chip stock would hold the crown for the highest estimated revenue growth for Q1, then you’ve been living in a cave.

Nvidia leads the sector with a blazing 237% estimated revenue growth rate for Q1, to an estimated $24.2 billion. Growth in Q1 is expected to be driven by sequential growth in data center revenues, as Big Tech companies continue to quickly snap up GPUs. Nvidia has been on a streak of beating-and-raising by approximately $2 billion over the past couple quarters, and it will be looking to keep this streak alive in the first quarter. Analysts have had an extremely difficult time pinpointing just how rapidly Nvidia’s GPU sales and revenue growth will be – six months ago, in October 2023, analysts’ Q1 revenue estimate was pegged at $18.4 billion, and now, it’s nearly 32% higher. This is reflective of the unprecedented growth materializing for Nvidia over the past year.

ACM Research is expected to see over 105% YoY growth in Q1, with management expecting a strong 2024 on mature node investment in China and product development progress at multiple customers. However, despite the triple-digit headline growth rate, the $152 million revenue estimate would represent an ~(11%) sequential decline.

Micron’s growth is poised to accelerate from 58% YoY to nearly 77% YoY, as it continues to reap the benefits of this unfolding recovery in the memory market with strong pricing tailwinds. Management said that “AI server demand is driving rapid growth in HBM, DDR5 and data center SSDs, which is tightening leading-edge supply availability for DRAM and NAND. This is resulting in a positive ripple effect on pricing across all memory and storage end markets. We expect DRAM and NAND pricing levels to increase further throughout calendar year 2024 and expect record revenue and much improved profitability now in fiscal year 2025.”

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 hereLearn more here.

Revenue Growth Estimates for Current Year

Revenue Growth Estimate

Nvidia and Micron lead the sector with estimated revenue growth rates of 82.7% and 58.1% for the current fiscal year.

Source: YCharts

There should be no surprises here, with Nvidia and Micron leading the way with 82.7% and 58.1% estimated revenue growth for the current fiscal year. Navitas’ strong growth in Q4 and expected growth in Q1 are projected to translate to a solid year with nearly 43% growth, while Rambus is expected to record more than 32% growth.

Data center will be the main driver of Nvidia’s growth this fiscal year, with the H200 shipping at the end of the second quarter and the new B200 Blackwell GPUs commencing late in the year. Put in dollar terms, Nvidia is estimated to generate $50 billion in revenue growth this year – assuming data center drives ~90% of that growth, that could represent more than 1 million additional GPUs shipped this year.

What you may have noticed is that the estimated 83% growth for Nvidia is a far cry from the 237% estimated growth for Q1. It’s not that revenue growth will slow on a dollar basis – Nvidia is estimated to see ~$2 billion in sequential growth each quarter this year, but rather it will start to face tough comps in the back half of the fiscal year, when it comes head-to-head with $14.5 billion and $18.4 billion data center revenue prints. This is what will drag on YoY revenue growth rates, from the 237% to an estimated 40% by fiscal Q4.

We’re seeing thematic similarities in the chip companies making the list of fastest revenue growth expectations for the current fiscal year. Nvidia is capitalizing on data center AI demand and TSMC and Arm are seeing tailwinds from this growth. Micron is seeing rising DRAM and NAND prices aid AI strength, while Rambus and Camtek are both poised to capture growth on this memory upswing. Rambus is seeing the data center drive more than 75% of its chip and silicon IP revenue with outlets in DDR5 and HBM, and Camtek is benefiting from increased metrology equipment demand from HBM and AI chiplet customers.

Top-Line Valuation

Forward PS Ratio

Source: YCharts

Despite popular belief, Nvidia is not the most expensive semiconductor stock on a top-line (and even bottom-line) valuation. On a top-line, forward PS valuation, Arm is the most expensive semiconductor stock by a wide margin, trading at 32.4x forward sales despite having a forward revenue growth rate of just 18.7%. We discussed Arm’s extreme valuation and how it poses risks to investors to our free newsletter readers last month in the analysis “Arm Stock: AI Chip Favorite is Overpriced.”

Nvidia trades at 19.8x forward sales and arguably deserves this premium valuation due to its unrivaled position on GPUs and the raw earnings power this is driving; in addition, this 19.8x multiple surprisingly is a slight discount to the 21.7x average PS multiple Nvidia has traded at over the past 5 years.

Semiconductors with the highest exposure levels to the unfolding AI megatrends are predominantly among the sector’s most expensive stocks. For example, Monolithic Power is the fourth most expensive at 15.6x forward sales, while ASML and Marvell also feature on the list. Monolithic has seen strong growth in its Enterprise Data segment as a primary power management supplier for Nvidia’s H100 GPU, though it is also recording >20% growth in automotive and ADAS markets.

Operating Margin

Operating Margin

Source: YCharts

Despite some of the blazing growth rates we are seeing emerge across the sector, only a handful of companies with the highest operating margins are seeing growth translate into increased operating leverage.

Due to the sheer pricing power of its H100 GPUs, Nvidia has seen its operating margin rise to nearly 62% in the most recent quarter, compared to a TTM operating margin of under 52%. This suggests that Nvidia will still feel these positive margin tailwinds over the next few quarters, assuming it can maintain a 60%+ quarterly operating margin as it scales its next-generation GPUs.

Smartphone strengths drove improvements in margins for Qualcomm and Cirrus Logic, while strong royalty revenue growth aided in Rambus’ margin improvement. TSMC is facing some margin headwinds, primarily due to its positioning in the ramp cycle of its 3nm node, which is still in the early stages.

Free Cash Flow Margin

Free Cash Flow Margin

Source: YCharts

Strong free cash flow generation and high FCF margins are a core factor in the chip sector’s attractiveness to investors – not only does strong FCF generation allow companies to reinvest rather heavily in R&D and remain on the leading edge of innovation, but it provides an extra safety net when the macroenvironment sours.

Skyworks led the sector with a 62% free cash flow margin as the company reported record quarterly cash flow metrics. CEO Liam Griffin said the company “continues to execute well and generate robust profitability in light of ongoing macroeconomic volatility” and “delivered record quarterly free cash flow of $753 million, which reflects strong working capital management and moderating capex intensity.”

Taking a broader view of the entire sector, 18 semiconductor stocks reported quarterly FCF margins above 30%, with 9 having a 30% or higher free cash flow margin on a TTM basis. Skyworks reported a 62% FCF margin in Q4, followed by Nvidia at 51% and Cirrus Logic at 49%.

Conclusion

Nvidia has quickly become the market’s most-followed AI stock due to its ‘hockey stick’ data center revenue growth, and it also became the first semiconductor stock to break both $1 trillion and $2 trillion in market cap. However, it’s not the only one putting up strong growth numbers, with Micron expected to see 58% revenue growth this year, and Navitas projected to record over 40% growth.

Strong free cash flow generation has been a hallmark of some of the sector’s top performers. As building blocks for AI and other developing megatrends, semiconductors remain a vital sector to track for tech investors, due to their position at the forefront of AI, strong margins, and strong free cash flow generation.

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:

  • Arm Stock: AI Chip Favorite Is Overpriced
  • The Magnificent 7 Are Falling Like Dominos; Only 3 Remain
  • Top 3 Ad-Tech Stocks For 2024
  • Cybersecurity Stocks: CrowdStrike Soars While Palo Alto And Zscaler Fall
Posted in Ai Platforms, AI Stocks, Semiconductor StocksLeave a Comment on Semiconductor Stocks Q4 Overview: AI Gains Heat Up

AI’s Opportunity: Growth, Investment, and the Future

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

The rise of AI marks a transformative technological, economic, and societal inflection point — one with extreme implications for how we live and invest. So, how can investors take advantage of the trend? Jordi Visser, CIO and Chairman of Weiss Multi-Strategy Advisers, spoke to Beth Kindig, our Lead Tech Analyst on the Real Vision podcast on March 20th, to dive deep into AI’s potential for explosive economic growth, how to find winners in this theme, sectors that benefit from AI, the potential for crypto to decentralize AI, and more.
Click here to watch.

Timestamps:

00:00 – Introduction

03:35 – Artificial Intelligence

07:44 – The Impact of AI

12:18 – AI compared to Mobile

16:48 – How long will it last?

22:14 – Tech sectors that will benefit from AI

30:14 – Sectors AI will disrupt

35:26 – AI, DeepMind and other industries

40:16 – Crypto and AI

43:28 – Q&A

Note: The I/O Fund owns Broadcom as of March 21st per our real-time trade alert sent to Premium members.

Recommended Reading:

  • Cloud Earnings Review: AI a key driver for growth
  • Positions Report – March 2024
  • Positions Update: Microsoft, Nvidia, and Bitcoin
  • Nvidia Fiscal Q4: Yet Another Big Beat and Raise
  • Special Webinar Replay – February 1, 2024
Posted in AI Stocks, BlockchainLeave a Comment on AI’s Opportunity: Growth, Investment, and the Future

AI’s Opportunity: Growth, Investment, and the Future

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

The rise of AI marks a transformative technological, economic, and societal inflection point — one with extreme implications for how we live and invest. So, how can investors take advantage of the trend? Jordi Visser, CIO and Chairman of Weiss Multi-Strategy Advisers, spoke to Beth Kindig, our Lead Tech Analyst on the Real Vision podcast on March 20th, to dive deep into AI’s potential for explosive economic growth, how to find winners in this theme, sectors that benefit from AI, the potential for crypto to decentralize AI, and more.

Timestamps:

00:00 – Introduction

03:35 – Artificial Intelligence

07:44 – The Impact of AI

12:18 – AI compared to Mobile

16:48 – How long will it last?

22:14 – Tech sectors that will benefit from AI

30:14 – Sectors AI will disrupt

35:26 – AI, DeepMind and other industries

40:16 – Crypto and AI

43:28 – Q&A

Note: The I/O Fund owns Broadcom as of March 21st per our real-time trade alert sent to Premium members.

Recommended Reading:

  • Cloud Earnings Review: AI a key driver for growth
  • Positions Report – March 2024
  • Positions Update: Microsoft, Nvidia, and Bitcoin
  • Nvidia Fiscal Q4: Yet Another Big Beat and Raise
  • Special Webinar Replay – February 1, 2024
Posted in AI Stocks, BlockchainLeave a Comment on AI’s Opportunity: Growth, Investment, and the Future

Micron Q2: Memory Rebound in Full Force with HBM3e

Posted on March 21, 2024June 30, 2026 by io-fund

Micron delivered an exceptional fiscal Q2, with revenue rising nearly 58% as strong AI demand led to pricing power coupled with tight supply dynamics to accelerate its return to profitability this quarter. Q3 was guided 10% above consensus to $6.6 billion at midpoint, representing 76% YoY growth, pointing to an impressive rebound from declining growth just three quarters ago.

Margins were significantly ahead of expectations, driving a strong shift to profitability. Micron was initially expected to return to profitability next quarter, but reported a solid 13.6% GAAP net margin this quarter as operating margin expanded nearly 20 percentage points QoQ.

CEO Sanjay Mehrotra said Micron’s “preeminent product portfolio positions us well to deliver a strong fiscal second half of 2024,” as he believes the company “is one of the biggest beneficiaries in the semiconductor industry of the multi-year opportunity enabled by AI.”

There were many strong, bullish statements on the call: “AI server demand is driving rapid growth in HBM, DDR5 and data center SSDs, which is tightening leading-edge supply availability for DRAM and NAND. This is resulting in a positive ripple effect on pricing across all memory and storage end markets. We expect DRAM and NAND pricing levels to increase further throughout calendar year 2024 and expect record revenue and much improved profitability now in fiscal year 2025.”

For more information regarding the importance of HBM3 and HBM3e in Nvidia and AMD’s 2024 product road map for AI Accelerators, please reference our past analysis noted at the end of this analysis.

Revenue and EPS:

Revenue shows a clear and obvious rebound in the memory market and EPS was a blowout:

  • Revenue of $5.82 billion beat estimates by ~9%, and represented YoY growth of 58% and QoQ growth of 23%.
  • Fiscal Q3 revenue was guided at $6.6 billion, +/- $200 million, for YoY growth of 76% and QoQ growth of 13%.
  • GAAP EPS was $0.71, compared to estimates for ($0.38). This compares to GAAP EPS of ($1.12) in Q1 and ($2.12) in the year ago quarter.
  • Adjusted EPS was $0.42, compared to estimates for ($0.24). This compares to adjusted EPS of ($0.95) in Q1 and ($1.91) in the year ago quarter.
  • GAAP EPS was guided at $0.17 +/- $0.07, compared to estimates for $0.08.
  • Adjusted EPS was guided at $0.45 +/- $0.07, compared to estimates for $0.20.

Margins:

  • GAAP gross margin was 18.5%, an expansion of 5120bp YoY from (-32.7%) and 1920bp QoQ from (0.70%). Management had guided for a gross margin of 12%.
  • Adjusted gross margin was 20.0%. Gross margins “benefited from $382 million associated with selling the remainder of previously written-down inventories.”
  • GAAP operating margin was 3.3%, an expansion of 6570bp YoY from (-62.4%) and 2720bp QoQ from (-23.90%). Management had guided for (-8.2%). Adjusted operating margin was 3.5%.
  • GAAP net margin was 13.6%, an expansion of 7620bp YoY from (-62.5%) and 3970bp QoQ from (-26.1%). Adjusted net margin was 8.2%.
  •  For Q3, GAAP gross margin was guided at 25.5% +/- 1.5%, an expansion of 700bp QoQ at midpoint. Adjusted gross margin was guided at 26.5% +/- 1.5%. Despite the rather large benefit in Q2 from selling written-down inventories, strong increases in DRAM and NAND pricing are driving this sequential expansion.
  • For Q3, GAAP operating margin is implied to be 8.7% at midpoint, an expansion of 540bp QoQ. Adjusted operating margin is implied to be 11.5%, an expansion of 800bp QoQ. Micron is forecasting continued operating income through the rest of FY24.

Management made it crystal clear that HBM3 is accretive to margins. This has been a concern since it’s 3X more expensive to manufacture. The strength in the margin is due to pricing power.

“So with respect to the accretive nature of HBM, look, HBM carries a higher cost, but it also carries a significantly higher pricing because it brings such great value in the applications in terms of its performance and power. And we are executing well. Our yield ramp is going well as well according to plan.”

“And therefore, we are pleased that in this quarter, when we have begun our production shipments, we will be having it accretive to our gross margins in the quarter. And of course, this momentum will continue to build in the quarters ahead.”

“Answer
Mark Murphy (Executives)

Yes. Brian, it's Mark. We won't break it out specifically, but maybe just to give you a sense of the trajectory of gross margins. The increase from first quarter of 1% to 20% in the second quarter was dominantly price. And obviously, a lot of other things going on, but the dominant feature of that increase was price. 

Likewise, in the 20% second quarter actuals to the 26.5% guide, price remains the largest contributor. And offsetting part of that is, of course, what CJ mentioned on the benefit of those lower cost inventories fade away. So — but price is still the largest factor.”

Cash and Debt:

  • Cash and short-term investments totaled $9.0 billion.
  • Debt totaled $13.7 billion.
  • Operating cash flow was $1.22 billion, an increase of 256% YoY but a decrease of (13% QoQ). The sequential decrease may have been impacted by strong pre-payments in the prior quarter from customers aiming to secure supply. Management commented last quarter there were $600 million in prepays but declined to comment on prepays this quarter.
  • Adjusted free cash flow was ($29 million), compared to adjusted FCF of ($333 million) in Q1 and ($1.81 billion) in the year ago quarter. Micron is expecting to generate positive adjusted FCF in both Q3 and Q4.

Key Metrics:

  • DRAM revenue was $4.2 billion, an increase of 21% QoQ. DRAM pricing increased by the high-teens QoQ. DRAM had increased 24% QoQ in the previous quarter, so this was the second quarter of strong DRAM growth which we covered here.
  • NAND revenue was $1.6 billion, an increase of 27% QoQ. NAND pricing increased by more than 30% QoQ, offsetting a low single-digit QoQ decrease in bit shipments.
  • Compute and Networking (CNBU) revenue was $2.19 billion, representing an increase of 26% QoQ and 59% YoY. Per mgmt comments: “Data center revenue grew robustly, and cloud more than doubled sequentially.”
  • Mobile (MBU) revenue was $1.6 billion, representing an increase of 24% QoQ and 69% YoY. Per management comments: “an expected decline in volume was more than offset by improved pricing” and management confirmed mobile will recover this year: “Smartphone unit volumes in calendar 2024 remain on track to grow low to mid-single digits.”
  • Embedded (EBU) revenue was $1.1 billion, representing an increase of 7% QoQ and 28% YoY.
  • Storage (SBU) revenue was $905 million, representing an increase of 39% QoQ and 79% YoY. Per management comments: “Data center SSD revenue more than doubled from a year ago driven by share gains from Micron's products.”

Revenue Acceleration Strongly Underway

Fiscal Q2 reaffirmed that Micron’s revenue acceleration is strongly underway, as revenue and Q3’s guide came in well above expectations. Micron added that they are expecting to generate record revenue with “much improved” profitability in fiscal 2025. 

Fiscal Q3’s guidance would mark the highest quarterly revenue in seven quarters, coming in above $6 billion for the first time since the fourth quarter of fiscal 2022. This is driving the fastest acceleration that we have seen for Micron since late 2017.

Q3 is expected to see ~76% YoY revenue growth at midpoint, a 18 percentage point acceleration from Q2 and a 61 percentage point acceleration from when revenue inflected back to positive growth in Q1. However, it’s important to note that these YoY growth rates are viewed against extremely weak comps – the real test for the strength and scale of this acceleration will be fiscal 2025’s growth rates; for example, how close each quarter can stay to the 60% expected revenue growth in fiscal Q1 2025.

An improved pricing environment driven by AI server demand is aiding the revenue growth story. Micron said it was able to drive “robust price increases as the supply-demand balance tightened.”

In particular, AI server demand was seen “driving rapid growth in HBM, DDR5 (D5) and data center SSDs, which is tightening leading-edge supply availability for DRAM and NAND.” Micron said this is causing “a positive ripple effect on pricing across all memory and storage end market.” As a result, Micron is expecting prices to continue to increase through 2024 and into 2025.

Management expressed how unusual the demand for HBM3 is: “And 2024 volume as well as pricing is all locked up. 2025, as I mentioned, the volumes are largely allocated. A vast majority of our production supply is allocated, and some of the pricing is already firmed up. Keep in mind, this has never happened before, right, that we are talking about 2025, and we are sitting in CQ1, and we already have so much discussion around supply and pricing for 2025 getting locked up here as we speak.”

Tight Supply:

Once semiconductor segments are aligned in terms of a rebound, the impact from AI will be more evident. Inventory helps to foreshadow the strength of the rebound.

This is what management stated: “Inventories for memory and storage have improved significantly in the data center, and we continue to expect normalization in the first half of calendar 2024. In PC and smartphone, there were some strategic purchases in calendar Q4 in anticipation of a return to unit growth. Inventories remain near normal levels for auto, industrial and other markets.”

The words “tight supply” were repeated 7 times, which tends to translate to strong pricing power. Here are a few of the comments, which are important to note as the tone of the call was that this pricing power should only increase:

“We anticipate strong HBM demand due to AI, combined with increasing silicon intensity of the HBM road map, to contribute to tight supply conditions for DRAM across all end markets.”

“The trade ratio of 3:1, increasing demand in HBM, increased profitability of HBM is putting a non-HBM part of the memory in tight supply. This is why we say that leading-edge nodes are in very tight supply. And as a result, we would fully expect that D5 as well as other DDR products will improve in their profitability picture as well, given they're very much tight supply there.”

“And so, I mean, this overall tight supply environment bodes well for our ability to manage the pricing increases as well as keep an eye on demand-supply balance and remain extremely disciplined in driving the growth of our business in revenue and profits while continuing to execute our strategy of maintaining stable bit share.”

Note on HBM3e Progress

Micron’s HBM3e was a core part of our multi-faceted AI-driven growth thesis in December, and the company has provided positive updates on HBM3e development and revenue generation.

Management said “we commenced volume production and recognized our first revenue from HBM3E in fiscal Q2 and now have begun high-volume shipments of our HBM3E product.” The company is “on track to generate several hundred million dollars of revenue from HBM in fiscal 2024.”

Micron is expecting these HBM revenues “to be accretive to our DRAM and overall gross margins starting in the fiscal third quarter.” This is an important quote – Micron has already driven tremendous improvement in gross and operating margins in Q2, and this implies that HBM pricing power provided a tailwind to margins. Moving beyond fiscal Q3 and Q4 and into fiscal 2025, margins are expected to continue to expand at a fairly strong rate as HBM revenues ramp significantly.

Micron shed light on customers and capacity, noting that while its HBM3e will be a part of Nvidia’s H200 Tensor Core GPU, it is “making progress on additional platform qualifications with multiple customers.”

Micron’s upcoming 12-high HBM3e has been sampling to customers, and Micron said it will begin ramping the cube in high volume production throughout 2025: “Earlier this month, we sampled our 12-high HBM3E product, which provides 50% increased capacity of DRAM per cube to 36 gigabytes. This increase in capacity allows our customers to pack more memory per GPU, enabling more powerful AI training and inference solutions. We expect 12-high HBM3E will start ramping in high-volume production and increase in mix throughout 2025.”

Nvidia’s H200 win is major win for Micron, as competition in the HBM landscape remains stiff. Per management: “NVIDIA announced its next-generation Blackwell GPU architecture-based AI systems, which provides a 33% increase in HBM3E content, continuing a trend of steadily increasing HBM content per GPU. Micron's industry-leading high-bandwidth memory HBM3E solution provides more than 20x the memory bandwidth compared to standard D5-based DIMM-server module.”

Market leader SK Hynix, who had shipped HBM for Nvidia’s H100, is investing at least $1 billion this year to improve stacking and yields for HBM3/3e, while Nvidia just confirmed that it is qualifying Samsung’s HBM for next-gen GPUs.

While it is not certain that Samsung will pass the qualification stage, it raises questions whether this qualification is for the B200 or another upcoming GPU, or whether Nvidia is seeking to qualify HBM products from all three manufacturers in order to secure ample supply in 2025 and 2026 (given that Micron’s capacity is nearly booked and SK Hynix just commenced HBM3e mass production).

Per Micron, the following sets them apart: “Customers continue to give strong feedback that our HBM3E solution has a 30% lower power consumption compared to competitors' solutions. This benefit is contributing to strong demand.”

Though it is rumored that SK Hynix is shipping to Nvidia’s Blackwell lineup, Micron raises a critical point: the architecture “provides a 33% increase in HBM3E content, continuing a trend of steadily increasing HBM content per GPU.” This trend for higher memory content to support larger and faster GPUs is likely to continue especially as chipmakers such as AMD work quickly to encroach on Nvidia’s share with comparable or faster GPUs.

Additional Growth Opportunities

HBM3e is stealing the spotlight but it’s worth mentioning a few additional growth opportunities for Micron:

  • The company is releasing a 128-gigabyte server DRAM module that will provide high bandwidth D5 capability and greater than 20% energy efficiency with 15% better latency compared to Samsung’s 3D TSV solutions. This product has “strong customer pull” with “several hundred million dollars of revenue in the second half of fiscal 2024.”
  • Micron reported record revenue share in the data center SSD market last year. In the current quarter, MU grew revenue by 50% QoQ for the 232-layer based 6500 30 terabyte SSDs. These are used for AI data lake applications.
  • Edge AI – PCs will be a growth market for Micron. As stated above, mgmt expects PCs to return to growth in CY2024 in the “low single-digit range.” The neural processing units (NPU) chipsets that AI PCs require will see 40% to 80% more DRAM content than non-AI PCs.
  • Edge AI – AI phones will require 50% to 100% more DRAM content than non-AI phones.

Conclusion:

A company that is supplying Nvidia (and likely AMD, perhaps Broadcom) on critical memory components for GPUs this year, HBM3E, plus will afford us an early entry for Edge AI with spring-loaded margins and strong pricing power that is expected to increase? Yes, please.

I’m quite positive you will see a new buy alert on Micron tomorrow and we are also looking at entering Lam Research (see below for LRCX analysis).

The report tonight has many implications for a thesis we have been carefully building on a memory rebound, which with some careful risk management, should have a long runway with Edge AI up to bat next (2025).

A special thank you to my team of analysts – Damien, Royston and Knox — who have worked diligently to identify this thesis. Go team go.

Resources:

  • 2024 Trend: Memory and PC Rebound
  • Memory and PC Stocks Review
  • Micron: AI Offers a Multifaceted Secular Growth Tailwind
  • Micron Q1: The Memory Rebound has Arrived Fueled by HBM3e – notes on anticipated NVDA partnership
  • Micron Q2 Pre-Earnings: Signs of Rebound
  • Lam Research: Wafer Fab Equipment Leader & HBM/DRAM Memory
  • AMD is Ready to Rival on AI Acceleration – notes on upcoming GPUs with HBM3 memory
Posted in AI Stocks, SemiconductorsLeave a Comment on Micron Q2: Memory Rebound in Full Force with HBM3e

Nvidia Stock Gained $1.5 Trillion To Surpass The FAANGs – Apple Is Next

Posted on February 28, 2024June 30, 2026 by io-fund
Nvidia Stock Gained $1.5 Trillion To Surpass The FAANGs – Apple Is Next

This article was originally published on Forbes on Feb 23, 2024,04:41 pm ESTForbes Forbes on Feb 23, 2024,04:41 pm EST

In August of 2021, my firm made a very bold prediction that Nvidia will surpass Apple in valuation. At the time, Nvidia was at a market cap of $550 billion compared to Apple’s $2.5 trillion market cap. In the Forbes editorial “Here’s Why Nvidia Will Surpass Apple in 5 Years” I wrote the following:

“Notably, the stock is up 335% since my thesis was first published [my first AI thesis in 2018]AI thesis in 2018]

– a notable amount for a mega cap stock and nearly 2-3X more returns than any FAAMG in the same period.This is important because I expect this trend to continue until Nvidia has surpassed all FAAMG valuations.” published August 2021This is important because I expect this trend to continue until Nvidia has surpassed all FAAMG valuations.” published August 2021

Today, Nvidia surpassed a $2 trillion market cap compared to Apple’s $2.8 trillion. The company has surpassed Amazon, Google, Tesla, Meta and Netflix. The only one left standing is Apple and we have 2.5 years left to make good on my prediction.

Notice I did not say at the time that Nvidia would double its market cap to $1 trillion or surpass one of the FAANGs. Instead, I predicted that Nvidia would surpass the world’s most valuable company to take the throne, and would do it very quicklyvery quickly.

Here’s what Nvidia’s increase in market cap looks like:

Nvidia-FAANG Market Cap Change

Since November 2018, Nvidia's market cap has increased more than 1,500%, compared to the FAANG's gaining 100% to 280%. Source: YCHARTS

Sign up for I/O Fund's free newsletter with gains of up to 221% – Click hereClick hereClick here

How Nvidia Surpassed Many FAANGs — and why Apple is Next

Nvidia’s rapid rise to become one of the top five most valuable companies in the world stems from its leadership position at the forefront of AI —- which began with the A100. It was the A100 which combined training and inference that kicked off Nvidia’s strength in the data center –the H100 would come a couple of years later. The A100 left early breadcrumbs that Nvidia would see a glorious ascent to overtake Apple. Prior to the A100, there were additional clues, specifically Nvidia’s CUDA software platform, which my firm also made quite clear in 2018 would carve a deep moat for a near-monopoly.

Rapid top-line growth is the primary eye-catching statistic, as no other companies in tech have reported such blistering revenue growth at a rate above 200% for multiple quarters at an annualized revenue rate near $90 billion. These are growth rates we see in small caps or mid-caps that have a mere $1 billion or less in revenue. Rarely, if ever, do we see this growth rate above $5 billion in revenue let alone $90 billion.

The consistency and magnitude of the top-line beats is impressive, however, it’s the growth further down the income statement where Nvidia’s report truly shines. Nvidia’s stronghold grip on the data center market at the moment combined with pricing power and elevated demand for its H100 GPU has allowed substantial growth in operating income and has generated robust earnings.

Let’s take a closer look as to why Nvidia has been able to surpass every FAANG except Apple, and why it’s inevitable that Nvidia becomes the World’s Most Valuable company in the next 2.5 years. We are using the date of August 2021 through the Q4 January report to evaluate the fundamental growth since that is when we first predicted Nvidia would surpass Apple’s valuation by August of 2026.

Here are some staggering data points since that prediction:

Nvidia’s Data Center:

  • Data center revenue has grown more than 676%, from $2.37 billion in fiscal Q2 2022 to $18.40 billion in fiscal Q4 2024.
  • In just 10 quarters, Nvidia has taken the data center from a less than $10 billion annualized run rate to almost a $75 billion annualized run rate – no other company can boast growth at this scale. For context, Amazon’s AWS increased from a $12 billion annualized rate to $35 billion over 12 quarters from 2016 to 2019, but took six years to surpass $80 billion in 2022. Nvidia did the equivalent in 2.5 years.Nvidia did the equivalent in 2.5 years.
  • Data center revenues in Q4 accelerated again, growing 409% YoY compared to 279% YoY in Q3 and 171% YoY in Q1. Nvidia attributed Q4’s growth to “higher shipments of the NVIDIA Hopper GPU computing platform” alongside strong demand for InfiniBand which was up 5-fold.

To put in perspective just how rapid this ascent in data center revenues has been, this year’s $47.5 billion in revenue is 18% more than total revenues in the segment for the past five years combinedfor the past five years combined. Nvidia generated a total of $40.2 billion in data center revenue between CY17 through CY22.

Data Center Revenues

Nvidia's data center revenue increased 409% YoY to $18.40 billion in Q4, compared to $2.37 billion in August 2021. Source: NVIDIA

Compare this to Apple’s prized iPhone segment since our prediction:

  • iPhone revenue increased 79% from $38.8 billion in fiscal Q4 2021 to $69.7 billion in fiscal Q1 2024; however, iPhone sales have increased just 12.7% to $43.8 billion in Q4 2023.
  • iPhone revenue increased just 4.5% from fiscal 2021 through fiscal 2023, from almost $192 billion to $200 billion, as growth has stagnated.

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 hereLearn more here.

Overall Revenue Growth for Nvidia of 240% Compared to Apple’s 43%:

Since August 2021, Nvidia’s revenue has grown at a much quicker rate than Apple, at a 240% total increase compared to 43% for Apple. That’s 96% growth on average for Nvidia per year and 17% growth for Apple averaged out per year – a 5.5X difference.

The iPhone’s installed base is reaching 1.5 billion and the market is showing signs of saturation. Growth stems primarily from existing devices being upgraded rather than building out the ecosystem. For data centers, we’re in the very early stages of growth, with Nvidia’s CEO Jensen Huang predicting that $1 trillion will be spent across the next four years to upgrade data centers for AI, with a majority of this spend stemming from hyperscalers and cloud providers procuring GPUs.

This massive capital spending on data centers is what will help Nvidia hammer the nail in the coffin to overtake Apple, as it will continue to drive significant growth in Nvidia’s data center revenues and thus overall revenue.

Q1’s revenue guide of $24 billion implies YoY growth of 235%, and suggests data center revenue may surpass $20 billion next quarter, for another blazing hot quarter with DC growth of 367% YoY.

Looking forward through the rest of FY25, estimates on the Street for data center revenue range from $22.8 billion to $36.4 billion by fiscal Q4 2025, with total revenue ranging between $25.7 billion to $40.3 billion.

Should Nvidia reach $29 billion in overall revenue by next January with $25 billion in data center, its data center revenue will have grown more than 950% since August 2021 with total revenue up nearly 350%. Compare this to Apple, where revenues are expected to decline (4.1%) YoY next quarter and increase just over 1% for fiscal 2024.

Nvidia has Strong Margins, But Apple Has the Cash

Nvidia’s margins are much stronger than Apple’s, but Apple leads in cash and cash generation.

Since August 2021, Nvidia’s gross margin has expanded significantly, from 66.7% to 76.7% in fiscal Q4, first topping 70% in fiscal Q2 and expanding since then as a high degree of pricing power for its ultra popular H100 GPUs is aiding margin growth.

Apple has similarly seen gross margin expansion, stemming primarily from growth in high-margin Services revenue as opposed to hardware sales — Apple’s gross margin increased from 42.2% to 45.8% over the same period.

Nvidia’s operating margin has improved tremendously in fiscal 2024, as it managed to increase operating expenses by only 2% YoY while driving a 126% increase in revenue. Operating margin has increased from 47.2% to 66.7% since our prediction. Over the past two quarters, operating margin has increased 910 bp.

On the other hand, Apple’s operating margin has improved 520 bp over the same period, from 28.5% to 33.7% — Nvidia’s operating margin is now nearly double Apple’s.

Because of this major increase in operating leverage, Nvidia has seen substantial growth in EPS. Nvidia reported $5.16 in EPS in fiscal Q4, nearly 400% growth from $1.04 reported in August 2021. Apple’s earnings growth over the same period has been just 14%, from $5.62 to $6.42 on a TTM basis.

However, Apple has the cash and cash flows, though Nvidia is quickly improving in both metrics. Apple’s cash on hand totals $172.6 billion, with over $72 billion in current cash, equivalents and marketable securities.

Nvidia has just $26 billion in cash and equivalents, an increase from $18.3 billion in Q3 and $13.3 billion in the year ago quarter as Nvidia is pocketing more cash.

Apple leads the Mag 7 and tech in general as it generates the highest levels of operating cash flow and free cash flow. TTM operating cash flow was more than $116 billion, while FCF was more than $106 billion, or a FCF margin of 27.5%.

Nvidia’s operating cash flow grew 400% YoY to $28.1 billion, with FCF up 690% YoY to $27 billion. Nvidia’s margins here are now stronger than Apple’s, at 46% and 44%, but the scale of its revenues means it has a few more years to go before it can surpass the $100 billion threshold on cash.

While cash flows may nearly double to ~$50 billion in FY25, Nvidia’s software can complement this growth as it scales a few years in the future, much as Services is aiding Apple’s growth and margins.

How Nvidia Will Surpass Apple’s Valuation

Before we go into a few reasons Nvidia has a long runway, it’s prudent to state that Nvidia has likely peaked in revenue growth (for now) either this quarter or next quarter. For revenue to peak next quarter, Nvidia has to beat by $2.2 billion or more.

Nvidia Quarterly Revenues, YoY Growth

Nvidia's revenue growth rates have peaked for now at 265% in Q4, when compared to growth rates inH2. Source: NVIDIA, SEEKING ALPHA

Nvidia’s post-earnings rally has taken it above a $2T valuation, as it continues to quickly close the gap with Apple. Here’s the path to Nvidia re-accelerating again sometime over the next 2.5 years to finish off Apple once and for all.

Software Opportunity

AMD’s CEO Lisa Su believes the AI accelerator market can reach $400 billion by 2027, as demand continues to far outpace supply with cloud giants gobbling up GPUs as fast as possible. With accelerators alone, Nvidia can surpass Apple as the company is estimated to control at least 90% of the data center GPU market. Even if Nvidia’s share slips to approximately 80% by 2027, that would be $320 billion in revenue.

Looking beyond accelerators, Nvidia’s software opportunity is a main factor in our thesis – that Nvidia will not only be the primary player for AI hardware, but simultaneously will become a predominant player for AI software. Software is the holy grail for a hardware company, especially for Nvidia; if competitors such as AMD can compete on performance and undercut on price, driving GPU prices lower over the long run, software will let Nvidia monetize its existing GPU base and generate streams of recurring revenue.

Right now, software is at a $1 billion run rate and CEO Jensen Huang stated that there is a “fundamental reason why Nvidia will be very successful in software” which is that it’s fundamentally required for accelerated computing and will be needed to open new markets. Nvidia’s Enterprise AI will “do the management, the optimization, the patching, the tuning, the installed base optimization for all of their software stacks” at about $4,500 per GPU.

This is key as Nvidia’s current analyst estimates do not take into account that AI software will ramp over the next two to three years. At max adoption, the software opportunity would be worth $11.2 billion but a more conservative scenario would be $5 billion. This may seem like peanuts compared to the $18.4 billion in data center revenue today but it will be accretive to margins and accelerate YoY whereas the data center may come under pricing pressure. To put it simply, we all know semis are cyclical and software is not – where those two meet will create fortuitous crossroads.

Accelerated Product Roadmap

In terms of hardware, Nvidia has an ambitious AI GPU roadmap, and is expected to release the next-gen H200 and B100 GPUs later this year, just over one year after releasing the H100. The two GPUs are expected to offer another leap in performance for AI training and inference, and the H200 is already in demand by the leading CSPs – AWS will be the first to deploy the new GPU, but Microsoft, Google and Oracle will also be deploying the chips.

It’s easy to see why the cloud giants are eager to upgrade quickly — Nvidia says the H200 will boast reduced energy usage and thus a lower TCO, while the introduction of HBM3e memory will essentially supercharge the GPU’s performance. For GPT-3 175B, the H200 is expected to offer 1.4x to 1.9x faster LLM inference on the leading GPT and Llama models compared to the H100, and an 18x performance upgrade compared to the A100.

Up to 2X the LLM Inference Performance

Source: NVIDIA

While it will be too soon to gauge what level of demand there is for the two new GPUs from a Q1 guide, a fiscal year guide could provide insight into whether demand for the H200 and B100 can match the H100, or if Nvidia will face initial supply constraints while ramping production. Additionally, Nvidia will face competition this year from AMD’s MI300s.

Note on Automotive:

Automotive is another large, incoming segment for Nvidia with a $300 billion total addressable market by 2030. Nvidia has an enviable position with a lead across dozens of OEMs in the US and China. Nvidia’s automotive suite spans nearly the entire tech stack of the car: its Drive SoCs – Orin and Thor – serve as the central computer for the vehicle, enabling OEMs to move higher up the semi-autonomous capability curve, from L2 to L2+/L3, to localized L4, and potentially L5 in the future.

Nvidia’s entire autonomous platform, called Hyperion, has not fully hit the market yet – Hyperion 8 is expected to begin shipping this year with Hyperion 9 following in 2026. Automotive’s pipeline currently sits at just $11 billion, but the shift to predominantly L2+ architectures as OEMs compete on tech and ADAS features beckons to dramatically increase this pipeline.

Valuation Eerily Low Despite 420% Rally Since 2023

Fundamentally, the rapid bottom line growth has supported this massive valuation increase – rarely do you see EPS increase 1,200% over two fiscal years at a multibillion-dollar scale. Compare this to Apple, which is expected to see just 17% total growth in EPS over the next two years.

As discussed in our pre-earnings writeup, the valuation is eerily low still and it is very unusual for a stock to be up more than 400% in just over year and yet be cheaper than it was at its bottom (Oct 2022 for Nvidia) – and that’s still the case after Thursday’s surge.

Nvidia PE Ratio Forward

Source: YCharts

Nvidia’s forward PE ratio is just above 32x at Friday’s close, which compares to a forward PE ratio of more than 75x in its November 2021 peak, nearly 90x in March 2022, and 34x when shares bottomed in the $115 range. The valuation is what makes it a buy on any dips. However, we also won’t be shy about taking gains if we reach predefined price targets. We have one in mind for Nvidia, so let’s see if we get there for our next trim.

Conclusion:

My firm was the defacto pioneer on building an AI-focused portfolio with Nvidia at the helm, and we were bold and quite clear at a time that Nvidia would rival Apple’s valuation when the very thought was inconceivable. There are many Nvidia bulls appearing today, where were they when the stock sold off (-60%) and was at the October 2022 low. I know where the I/O Fund was —- writing editorials that clearly stated the stock was bottoming and issuing 10 buy alerts to our premium research members when the stock was under $210.

One of the more critical media appearances was on Real Vision, when I stated that it would take World War 3 for me to sell my Nvidia position. The stock is up 400% since that show.

Note, I did not say it would take World War 3 for me to take gains. We are not shy about putting real money into the bank if we think we can get a stock lower than where it currently trades. After all, we have been trimming Nvidia and buying lower for six years for a higher return than a buy and hold strategy. For example, entries at $210 creates returns of 281% to 627% with our lowest tranche at $108 versus 162% returns since January 1st, 2022.

The very mission we are on is to help readers safely participate in the life-changing gains that tech can offer. We want it all — put money in the bank, lock-in gains, yet also hold high-conviction stocks for the long haul at a high allocation (and hedge if tech falls out of favor).

If you own Nvidia stock, or are looking to own NVDA, we encourage you to attend our weekly premium webinars, held every Thursday at 4:30 pm EST. Next week, we will discuss our plan following NVDA’s earnings, as well as a handful of other AI plays for 2024 – what our targets are, where we plan to buy as well as take gains. Learn more here.

I/O Fund Equity Analyst Damien Robbins contributed to this report.

Please note: The I/O Fund conducts research and draws conclusions for the company’s portfolio. We then share that information with our readers and offer real-time trade notifications. This is not a guarantee of a stock’s performance and it is not financial advice. Please consult your personal financial advisor before buying any stock in the companies mentioned in this analysis. Beth Kindig and the I/O Fund own shares in NVDA at the time of writing and may own stocks pictured in the charts.

Recommended Reading

  • Palantir Stock Surges From Artificial Intelligence Platform
  • AI Driving Acceleration For Big 3 Cloud Stocks
  • Coinbase, Robinhood: Examining The Impact Of Spot Bitcoin ETFs
  • Tesla Q4 Earnings Preview: Margins Likely To Slip Again
Posted in AI Stocks, Semiconductors, Tech StocksLeave a Comment on Nvidia Stock Gained $1.5 Trillion To Surpass The FAANGs – Apple Is Next

Nvidia Fiscal Q4: Yet Another Big Beat and Raise

Posted on February 22, 2024June 30, 2026 by io-fund

Nvidia’s much-anticipated Q4 earnings report saw the AI GPU leader post another large beat and raise as it reported revenue growth of 265% YoY. Nvidia guided fiscal Q1 revenues nearly $2 billion above consensus on top of its almost $2 billion revenue beat in Q4, mirroring what we saw in Q3 as demand for its H100 Hopper GPUs remains elevated.

The consistency and magnitude of the top-line beats is impressive, with Q1’s guide signaling three quarters in a row of revenue growth above 200%. However, it’s the growth further down the income statement where Nvidia’s report truly shines. Nvidia’s stronghold grip on the data center market at the moment combined with pricing power and elevated demand for its H100 GPU has allowed substantial growth in operating income and has generated robust earnings.

Read our pre-earnings write-up here.pre-earnings write-up here.

Revenue and EPS:

  • Q4 revenue was $22.1 billion, beating estimates by 7.56%. This represented YoY growth of 265%, a 60 percentage point acceleration from 205% YoY in Q3.
  • FY24 revenue was $60.92 billion, an increase of 126% YoY. 
  • Q1 revenue was guided at $24 billion, +/- 2%, ahead of estimates for ~$21.9 billion. This represents YoY growth of 235%, or a 30 percentage point deceleration from Q4’s growth rate. We had covered in our pre-earnings write up that revenue growth will peak in Q4 for now at the 265%. This seems to still be the case unless next quarter comes in at $2.2 billion over the current guide. As we have seen these past few quarters, it’s not out of the question that Nvidia beats by this much next quarter. However, it’s looking less likely that Nvidia can sustain this peak growth as we move into the second half of the year.
  • Q4 GAAP EPS of $4.93 beat estimates by 16.8%, representing YoY growth of 765%.
  • Q4 adjusted EPS of $5.16 beat estimates by 11.2%, representing YoY growth of 486%.

Margins:

Nvidia’s Q4 report highlighted the incredibly strong leverage and margin expansion that the rapid growth in the data center is driving.

  • GAAP gross margin was 76% in Q4, and adjusted gross margin was 76.7%, an expansion of 1270 and 1060 bp YoY respectively. 
  • GAAP operating margin was 61.6% in Q4, and adjusted operating margin was 66.7%, an expansion of 4080 and 2990 bp YoY respectively.
  • GAAP net margin was 55.6% in Q4, and adjusted net margin was 58.1%, an expansion of 3320 and 2220 bp YoY respectively.

Notably, Nvidia is guided “Beyond Q1, for the remainder of the year, we expect gross margins to return to the mid-70s percent range.” It was mentioned on the call that the slightly softer gross might be caused by the higher cost of HBM3.

  • For FY24, GAAP gross margin was 72.7% up from 56.9% in FY23. Adjusted gross margin was 73.8% up from 59.2% in FY23.
  • For FY24, GAAP operating margin was 54.1% up from 15.7% in FY23. Adjusted operating margin was 60.9% up from 33.5% in FY23.
  • For FY24, GAAP net margin was 48.9% up from 16.2% in FY23. Adjusted net margin was 53% up from in FY23.

Cash Flows:

  • Cash on hand was $26.0 billion, an increase from $18.3 billion in Q3 and $13.3 billion in the year ago quarter.
  • Operating cash flow was $11.5 billion in Q4, an increase of 411% YoY. FY24 operating cash flow increased 416% YoY to $28.1 billion. For FY24, operating cash flow more than doubled to 46.1%, compared to 20.9% in FY23.
  • Free cash flow was $11.2 billion in Q4, an increase of 546% YoY as FCF margin topped 50%. For FY24, free cash flow increased 618% YoY to $26.9 billion. Free cash flow margin more than tripled to 44.2% from 13.9% last year.
  • Debt totaled $10.95 billion.

Key Segments:

Data Center:

Data center revenue dazzled again, with Nvidia attributing the growth to “higher shipments of the NVIDIA Hopper GPU computing platform” alongside growth for InfiniBand. Revenues rose 409% YoY and 27% QoQ to $18.4 billion – in other words, a $3.9 billion increase from Q3. Nvidia generated $47.5 billion in data center revenues in FY24, up 217% YoY from $15 billion in FY23.

This is what they mean by “hockey stick” growth:

To put just how rapid this ascent in data center revenues has been, this year’s $47.5 billion in revenue is 18% more than total revenues in the segment for the past five years combined – Nvidia generated $40.2 billion in data center revenue between FY18 through FY23.

According to the CFO commentary on the call for next quarter: “We expect sequential growth in data center and ProViz, partially offset by seasonal decline in Gaming.” As our pre-earnings writeup pointed out, a few analysts were modeling $25 billion data center quarters (for $100 billion per year), so it makes sense that we will see sequential growth in the data center into the foreseeable future.

The CFO also stated that 40% of data center revenue is from inference. This is the first I remember management discussing the percentage that is from inference, and I believe that’s because AMD is pushing hard on the narrative that the MI300s will specifically outperform on inference.

Regarding China, the following was stated: “Growth was strong across all regions except for China, where our Data Center revenue declined significantly following the U.S. government export control regulations imposed in October. Although we have not received licenses from the U.S. government to ship restricted products to China, we have started shipping alternatives that don't require a license for the China market. China represented a mid-single-digit percentage of our Data Center revenue in Q4, and we expect it to stay in a similar range in the first quarter.”

Gaming:

Gaming revenue in Q4 was $2.9 billion, representing a 56% YoY increase against a softer comp and flat growth QoQ. FY24 revenue was $10.4 billion, up 15% YoY.

Pro Viz

Pro Visualization revenue in Q4 was $463 million, up 105% YoY and 11% QoQ. FY24 revenue in the segment was $1.6 billion, up 1% YoY.

Automotive:

Automotive revenue was $281 million in Q4, up 8% QoQ but down 4% YoY. FY24 revenue was $1.1 billion, up 21% YoY as more automakers in China adopt Nvidia’s Drive platform for autonomous driving capabilities.

Additional Notes:

Nvidia’s rapid top-line growth is the primary eye-catching statistic, as no other companies in tech can report such blistering revenue growth at a rate above 200% for multiple quarters at an annualized revenue rate near $90 billion. However, the strengths of Nvidia’s report lie within the operating leverage that this growth is driving.

Operating income in Q4 increased 983% YoY to $13.6 billion, driving a 769% increase in net income to $12.3 billion.

For the full year, operating income of 681% to nearly $33.0 billion, up from $4.2 billion in FY23, while net income rose 581% YoY to $29.8 billion from $4.3 billion in FY23. FY24’s GAAP EPS of $11.93 was nearly 6x higher than FY23’s $1.74.

Cash flow generation surged, with OCF margin more than doubling and FCF margin tripling in FY24. OCF and FCF have increased sequentially each quarter this year, as top-line growth is flowing directly through to the bottom line.

Earnings Call:

There wasn’t much to dissect in the earnings call as what was delivered was another blowout quarter. However, there were some questions on supply that I want to note here. It’s no secret that demand is greater than supply, hence these blowout quarters. It did seem analysts were poking holes at what the timing could be as to when supply won’t be able to continue to afford this extraordinary growth. The answers to the questions were not very informative, rather I’m noting that this seems to the be predominant concern among the analysts even if management chose to remain vague. 

Question
Stacy Rasgon (Analysts)

I wanted to — Colette, I wanted to touch on your comments that you expected the next generation of products, so that black well [B100s] to be supply constrained. Can you dig into that a little bit? What is the driver of that? Why does that get constrained as Hopper is easing up? And how long do you expect that to be constrained? Like do you expect the next generation to be constrained like all the way through calendar '25? Like when do those start to ease?

Answer
Jensen Huang (Executives)

Yes. The first thing is overall, our supply is improving. Overall, our supply chain is just doing an incredible job for us. Everything from, of course, the wafers, the packaging, the memories, all of the power regulators to transceivers and networking and cables, and you name it, the list of components that we ship […] The supply chain is really doing fantastic supporting us. And so overall, the supply is improving. We expect the demand will continue to be stronger than our supply provides, and through the year and we'll do our best. The cycle times are improving and we're going to continue to do our best. However, whenever we have new products, as you know, it ramps from 0 to a very large number, and you can't do that overnight. Everything is ramped up. It doesn't step up. And so whenever we have a new generation of products and right now, we are ramping H200s, there's no way we can reasonably keep up on demand in the short term as we ramp […] So we'll — with all new products, demand is greater than supply. And that's just kind of the nature of new products, and we work as fast as we can to catch up with the demand. But overall, net-net, overall, our supply is increasing very nicely.”

Here was another question on supply that was shrugged off, so to speak, yet helps our members to understand the Q&A had a few analysts focused on figuring out the supply constraints:

Question
Timothy Arcuri (Analysts)

I wanted to ask about how you're converting backlog into revenue. Obviously, lead times for your products have come down quite a bit. Colette, you didn't talk about the inventory purchase commitments, but if I sort of add up your inventory plus the purchase commits and your prepaid supply, sort of the aggregate of your supply, it was actually down a touch. How should we read that? Is that just you saying that you don't need to take as much of a financial commitment to your suppliers because the lead times are lower? Or is that maybe you're reaching some sort of steady state where you're closer to filling your order book and your backlog?

Answer
Colette Kress (Executives)

Yes. So let me highlight on those three different areas of how we look at our suppliers. You're correct. Our inventory on hand, given our allocation that we're on, we're trying to, as things come into inventory, immediately work to ship them to our customers. I think our customer appreciates our ability to meet the schedules that we've looked for.

The second piece of it is our purchase commitments. Our purchase commitments have many different components into it, component that we need for manufacturing but also often we are procuring capacity that we need. The length of that need for capacity or the length of the components are all different. Some of them may be for the next 2 quarters but some of them may be for multiple years. I can say the same regarding our prepaids. Our prepaids are predesigned to make sure that we have the reserve capacity that we need as several of our manufacturing suppliers as we look forward.

So wouldn't read into anything regarding approximately about the same numbers as we are increasing our supply. All of them just have different lengths as we have sometimes had to buy things in long lead times or things that need a capacity to be built for us.”

There was an important question about that pertains to our thesis that Nvidia will become a predominant player for AI software. Right now, software is at a $1 billion run rate. The comment below was the first that I can recall where the CEO was more detailed as to how Nvidia will become a force in AI software. I’m quoting it in full here as a follow up to our deep dive on AI software in July of 2022:

Answer
Jensen Huang (Executives)

Let me take a step back and explain the fundamental reason why NVIDIA will be very successful in software. […] If you don't have software, you can't open new markets. If you don't have software, you can't open and enable new applications. Software is fundamentally necessary for accelerated computing. This is the fundamental difference between accelerated computing and general-purpose computing that most people took a long time to understand. And now people understand that software is really key.

And the way that we work with CSPs, that's really easy. We have large teams that are working with their large teams. However, now that generative AI is enabling every enterprise and every enterprise software company to embrace accelerated computing, and when it is now essential to embrace accelerated computing because it is no longer possible, no longer likely anyhow, to sustain improved throughput through just general-purpose computing, all of these enterprise software companies and enterprise companies don't have large engineering teams to be able to maintain and optimize their software stack to run across all of the world's clouds and private clouds and on-prem.

So we are going to do the management, the optimization, the patching, the tuning, the installed base optimization for all of their software stacks. And we containerize them into our stack called NVIDIA AI Enterprise. And the way we go to market with it is think of that NVIDIA AI Enterprise now as a run time like an operating system. It's an operating system for artificial intelligence. And we charge $4,500 per GPU per year. And my guess is that every enterprise in the world, every software enterprise company that are deploying software in all the clouds and private clouds and on-prem will run on NVIDIA AI Enterprise, especially obviously, for our GPUs. And so this is going to likely be a very significant business over time. We're off to a great start. And Colette mentioned that it's already at $1 billion run rate and we're really just getting started.

Conclusion:

The I/O Fund portfolio is on fire right now. Our audited results from last year will be out soon, and those results will put us in the 90th percentile of all funds in the world for 2023 and also on a 4-year cumulative basis. From there, the first two months of 2024 have been extraordinary as we positioned for Q1 with a high allocation to many year-to-date winners. However, we do not think it will always remain this way – tech cannot remain in favor forever.

As you know from our pre-earnings writeup, we think Nvidia’s hitting peak growth is “tricky” for investors while acknowledging the valuation is eerily low still — it is very unusual for a stock to be up 250% in a year and yet be cheaper than it was at its bottom (Oct 2022 for Nvidia). The valuation is what makes it a buy on any dips. However, we also won’t be shy about taking gains if we reach predefined price targets. We have one in mind for Nvidia, let’s see if we get there for our next trim.

Too many investors ride high on paper gains, and subsequently lose those gains. We don’t want to choose between holding a high conviction stock and making money. Instead, we want it all – put some money in the bank, lock-in gains, yet hold the stock for the long haul at a high allocation and hedge if tech falls out of favor.

We will keep doing our very best to bring you quality winners alongside risk management with the ultimate goal of answering the million-dollar or billion-dollar question, which is how to safely participate in the life changing gains tech has to offer. We do not believe this question has been satisfactorily answered. Which is why if you see us hit our price target on Nvidia … and trim our high conviction stock … but buy aggressively on dips — then, you’ll know we are working hard to answer this question for our members.

Recommended Reading:

  • Nvidia Earnings Preview: 239% is the Revenue Growth Peak (for now)
  • Positions Update: Microsoft, Nvidia, and Bitcoin
  • Positions Report – February 2024
  • Big Tech Q4 Earnings: Capex Increases
Posted in AI Stocks, SemiconductorsLeave a Comment on Nvidia Fiscal Q4: Yet Another Big Beat and Raise

Nvidia Fiscal Q4: Yet Another Big Beat and Raise

Posted on February 22, 2024June 30, 2026 by io-fund

Nvidia’s much-anticipated Q4 earnings report saw the AI GPU leader post another large beat and raise as it reported revenue growth of 265% YoY. Nvidia guided fiscal Q1 revenues nearly $2 billion above consensus on top of its almost $2 billion revenue beat in Q4, mirroring what we saw in Q3 as demand for its H100 Hopper GPUs remains elevated.

The consistency and magnitude of the top-line beats is impressive, with Q1’s guide signaling three quarters in a row of revenue growth above 200%. However, it’s the growth further down the income statement where Nvidia’s report truly shines. Nvidia’s stronghold grip on the data center market at the moment combined with pricing power and elevated demand for its H100 GPU has allowed substantial growth in operating income and has generated robust earnings.

Read our pre-earnings write-up here.pre-earnings write-up here.

Revenue and EPS:

  • Q4 revenue was $22.1 billion, beating estimates by 7.56%. This represented YoY growth of 265%, a 60 percentage point acceleration from 205% YoY in Q3.
  • FY24 revenue was $60.92 billion, an increase of 126% YoY. 
  • Q1 revenue was guided at $24 billion, +/- 2%, ahead of estimates for ~$21.9 billion. This represents YoY growth of 235%, or a 30 percentage point deceleration from Q4’s growth rate. We had covered in our pre-earnings write up that revenue growth will peak in Q4 for now at the 265%. This seems to still be the case unless next quarter comes in at $2.2 billion over the current guide. As we have seen these past few quarters, it’s not out of the question that Nvidia beats by this much next quarter. However, it’s looking less likely that Nvidia can sustain this peak growth as we move into the second half of the year.
  • Q4 GAAP EPS of $4.93 beat estimates by 16.8%, representing YoY growth of 765%.
  • Q4 adjusted EPS of $5.16 beat estimates by 11.2%, representing YoY growth of 486%.

Margins:

Nvidia’s Q4 report highlighted the incredibly strong leverage and margin expansion that the rapid growth in the data center is driving.

  • GAAP gross margin was 76% in Q4, and adjusted gross margin was 76.7%, an expansion of 1270 and 1060 bp YoY respectively. 
  • GAAP operating margin was 61.6% in Q4, and adjusted operating margin was 66.7%, an expansion of 4080 and 2990 bp YoY respectively.
  • GAAP net margin was 55.6% in Q4, and adjusted net margin was 58.1%, an expansion of 3320 and 2220 bp YoY respectively.

Notably, Nvidia is guided “Beyond Q1, for the remainder of the year, we expect gross margins to return to the mid-70s percent range.” It was mentioned on the call that the slightly softer gross might be caused by the higher cost of HBM3.

  • For FY24, GAAP gross margin was 72.7% up from 56.9% in FY23. Adjusted gross margin was 73.8% up from 59.2% in FY23.
  • For FY24, GAAP operating margin was 54.1% up from 15.7% in FY23. Adjusted operating margin was 60.9% up from 33.5% in FY23.
  • For FY24, GAAP net margin was 48.9% up from 16.2% in FY23. Adjusted net margin was 53% up from in FY23. 

Cash Flows:

  • Cash on hand was $26.0 billion, an increase from $18.3 billion in Q3 and $13.3 billion in the year ago quarter.
  • Operating cash flow was $11.5 billion in Q4, an increase of 411% YoY. FY24 operating cash flow increased 416% YoY to $28.1 billion. For FY24, operating cash flow more than doubled to 46.1%, compared to 20.9% in FY23.
  • Free cash flow was $11.2 billion in Q4, an increase of 546% YoY as FCF margin topped 50%. For FY24, free cash flow increased 618% YoY to $26.9 billion. Free cash flow margin more than tripled to 44.2% from 13.9% last year.
  • Debt totaled $10.95 billion.

Key Segments:

Data Center:

Data center revenue dazzled again, with Nvidia attributing the growth to “higher shipments of the NVIDIA Hopper GPU computing platform” alongside growth for InfiniBand. Revenues rose 409% YoY and 27% QoQ to $18.4 billion – in other words, a $3.9 billion increase from Q3. Nvidia generated $47.5 billion in data center revenues in FY24, up 217% YoY from $15 billion in FY23.

This is what they mean by “hockey stick” growth:

To put just how rapid this ascent in data center revenues has been, this year’s $47.5 billion in revenue is 18% more than total revenues in the segment for the past five years combined – Nvidia generated $40.2 billion in data center revenue between FY18 through FY23.

According to the CFO commentary on the call for next quarter: “We expect sequential growth in data center and ProViz, partially offset by seasonal decline in Gaming.” As our pre-earnings writeup pointed out, a few analysts were modeling $25 billion data center quarters (for $100 billion per year), so it makes sense that we will see sequential growth in the data center into the foreseeable future.

The CFO also stated that 40% of data center revenue is from inference. This is the first I remember management discussing the percentage that is from inference, and I believe that’s because AMD is pushing hard on the narrative that the MI300s will specifically outperform on inference.

Regarding China, the following was stated: “Growth was strong across all regions except for China, where our Data Center revenue declined significantly following the U.S. government export control regulations imposed in October. Although we have not received licenses from the U.S. government to ship restricted products to China, we have started shipping alternatives that don't require a license for the China market. China represented a mid-single-digit percentage of our Data Center revenue in Q4, and we expect it to stay in a similar range in the first quarter.”

Gaming:

Gaming revenue in Q4 was $2.9 billion, representing a 56% YoY increase against a softer comp and flat growth QoQ. FY24 revenue was $10.4 billion, up 15% YoY.

Pro Viz

Pro Visualization revenue in Q4 was $463 million, up 105% YoY and 11% QoQ. FY24 revenue in the segment was $1.6 billion, up 1% YoY.

Automotive:

Automotive revenue was $281 million in Q4, up 8% QoQ but down 4% YoY. FY24 revenue was $1.1 billion, up 21% YoY as more automakers in China adopt Nvidia’s Drive platform for autonomous driving capabilities.

Additional Notes:

Nvidia’s rapid top-line growth is the primary eye-catching statistic, as no other companies in tech can report such blistering revenue growth at a rate above 200% for multiple quarters at an annualized revenue rate near $90 billion. However, the strengths of Nvidia’s report lie within the operating leverage that this growth is driving.

Operating income in Q4 increased 983% YoY to $13.6 billion, driving a 769% increase in net income to $12.3 billion.

For the full year, operating income of 681% to nearly $33.0 billion, up from $4.2 billion in FY23, while net income rose 581% YoY to $29.8 billion from $4.3 billion in FY23. FY24’s GAAP EPS of $11.93 was nearly 6x higher than FY23’s $1.74.

Cash flow generation surged, with OCF margin more than doubling and FCF margin tripling in FY24. OCF and FCF have increased sequentially each quarter this year, as top-line growth is flowing directly through to the bottom line.

Earnings Call:

There wasn’t much to dissect in the earnings call as what was delivered was another blowout quarter. However, there were some questions on supply that I want to note here. It’s no secret that demand is greater than supply, hence these blowout quarters. It did seem analysts were poking holes at what the timing could be as to when supply won’t be able to continue to afford this extraordinary growth. The answers to the questions were not very informative, rather I’m noting that this seems to the be predominant concern among the analysts even if management chose to remain vague.

Question
Stacy Rasgon (Analysts)

I wanted to — Colette, I wanted to touch on your comments that you expected the next generation of products, so that black well [B100s] to be supply constrained. Can you dig into that a little bit? What is the driver of that? Why does that get constrained as Hopper is easing up? And how long do you expect that to be constrained? Like do you expect the next generation to be constrained like all the way through calendar '25? Like when do those start to ease?

Answer
Jensen Huang (Executives)

Yes. The first thing is overall, our supply is improving. Overall, our supply chain is just doing an incredible job for us. Everything from, of course, the wafers, the packaging, the memories, all of the power regulators to transceivers and networking and cables, and you name it, the list of components that we ship […] The supply chain is really doing fantastic supporting us. And so overall, the supply is improving. We expect the demand will continue to be stronger than our supply provides, and through the year and we'll do our best. The cycle times are improving and we're going to continue to do our best. However, whenever we have new products, as you know, it ramps from 0 to a very large number, and you can't do that overnight. Everything is ramped up. It doesn't step up. And so whenever we have a new generation of products and right now, we are ramping H200s, there's no way we can reasonably keep up on demand in the short term as we ramp […] So we'll — with all new products, demand is greater than supply. And that's just kind of the nature of new products, and we work as fast as we can to catch up with the demand. But overall, net-net, overall, our supply is increasing very nicely.”

Here was another question on supply that was shrugged off, so to speak, yet helps our Members to understand the Q&A had a few analysts focused on figuring out the supply constraints:

Question
Timothy Arcuri (Analysts)

I wanted to ask about how you're converting backlog into revenue. Obviously, lead times for your products have come down quite a bit. Colette, you didn't talk about the inventory purchase commitments, but if I sort of add up your inventory plus the purchase commits and your prepaid supply, sort of the aggregate of your supply, it was actually down a touch. How should we read that? Is that just you saying that you don't need to take as much of a financial commitment to your suppliers because the lead times are lower? Or is that maybe you're reaching some sort of steady state where you're closer to filling your order book and your backlog?

Answer
Colette Kress (Executives)

Yes. So let me highlight on those three different areas of how we look at our suppliers. You're correct. Our inventory on hand, given our allocation that we're on, we're trying to, as things come into inventory, immediately work to ship them to our customers. I think our customer appreciates our ability to meet the schedules that we've looked for.

The second piece of it is our purchase commitments. Our purchase commitments have many different components into it, component that we need for manufacturing but also often we are procuring capacity that we need. The length of that need for capacity or the length of the components are all different. Some of them may be for the next 2 quarters but some of them may be for multiple years. I can say the same regarding our prepaids. Our prepaids are predesigned to make sure that we have the reserve capacity that we need as several of our manufacturing suppliers as we look forward.

So wouldn't read into anything regarding approximately about the same numbers as we are increasing our supply. All of them just have different lengths as we have sometimes had to buy things in long lead times or things that need a capacity to be built for us.”

There was an important question about that pertains to our thesis that Nvidia will become a predominant player for AI software. Right now, software is at a $1 billion run rate. The comment below was the first that I can recall where the CEO was more detailed as to how Nvidia will become a force in AI software. I’m quoting it in full here as a follow up to our deep dive on AI software in July of 2022:

Answer
Jensen Huang (Executives)

Let me take a step back and explain the fundamental reason why NVIDIA will be very successful in software. […] If you don't have software, you can't open new markets. If you don't have software, you can't open and enable new applications. Software is fundamentally necessary for accelerated computing. This is the fundamental difference between accelerated computing and general-purpose computing that most people took a long time to understand. And now people understand that software is really key.

And the way that we work with CSPs, that's really easy. We have large teams that are working with their large teams. However, now that generative AI is enabling every enterprise and every enterprise software company to embrace accelerated computing, and when it is now essential to embrace accelerated computing because it is no longer possible, no longer likely anyhow, to sustain improved throughput through just general-purpose computing, all of these enterprise software companies and enterprise companies don't have large engineering teams to be able to maintain and optimize their software stack to run across all of the world's clouds and private clouds and on-prem.

So we are going to do the management, the optimization, the patching, the tuning, the installed base optimization for all of their software stacks. And we containerize them into our stack called NVIDIA AI Enterprise. And the way we go to market with it is think of that NVIDIA AI Enterprise now as a run time like an operating system. It's an operating system for artificial intelligence. And we charge $4,500 per GPU per year. And my guess is that every enterprise in the world, every software enterprise company that are deploying software in all the clouds and private clouds and on-prem will run on NVIDIA AI Enterprise, especially obviously, for our GPUs. And so this is going to likely be a very significant business over time. We're off to a great start. And Colette mentioned that it's already at $1 billion run rate and we're really just getting started.

Conclusion:

The I/O Fund portfolio is on fire right now. Our audited results from last year will be out soon, and those results will put us in the 90th percentile of all funds in the world for 2023 and also on a 4-year cumulative basis. From there, the first two months of 2024 have been extraordinary as we positioned for Q1 with a high allocation to many year-to-date winners. However, we do not think it will always remain this way – tech cannot remain in favor forever.

As you know from our pre-earnings writeup, we think Nvidia’s hitting peak growth is “tricky” for investors while acknowledging the valuation is eerily low still — it is very unusual for a stock to be up 250% in a year and yet be cheaper than it was at its bottom (Oct 2022 for Nvidia). The valuation is what makes it a buy on any dips. However, we also won’t be shy about taking gains if we reach predefined price targets. We have one in mind for Nvidia, let’s see if we get there for our next trim.

Too many investors ride high on paper gains, and subsequently lose those gains. We don’t want to choose between holding a high conviction stock and making money. Instead, we want it all – put some money in the bank, lock-in gains, yet hold the stock for the long haul at a high allocation and hedge if tech falls out of favor.

We will keep doing our very best to bring you quality winners alongside risk management with the ultimate goal of answering the million-dollar or billion-dollar question, which is how to safely participate in the life changing gains tech has to offer. We do not believe this question has been satisfactorily answered. Which is why if you see us hit our price target on Nvidia … and trim our high conviction stock … but buy aggressively on dips — then, you’ll know we are working hard to answer this question for our Members.

Recommended Reading:

  • Nvidia Earnings Preview: 239% is the Revenue Growth Peak (for now)
  • Crypto and AI Opportunity: Real Vision Video Interview
  • AMD Q4 2023 Earnings: 75% GPU Raise, Separating the Wheat from the Chaff
  • Super Micro Q2 2024 Earnings: The AI Bullet Train
Posted in AI Stocks, SemiconductorsLeave a Comment on Nvidia Fiscal Q4: Yet Another Big Beat and Raise

Nvidia Earnings Preview: 239% is the Revenue Growth Peak (for now)

Posted on February 21, 2024June 30, 2026 by io-fund

When looking at Nvidia’s forward estimates, what stands out is that revenue growth will peak this quarter at 239%. This can be a tricky place for a tech investor when what’s ahead is slowing growth.

Nvidia could raise and beat, as it’s had a penchant for doing lately, but the slowing growth will eventually catch up to the stock and analysts are pegging H2 for this to happen. To contrast, Nvidia will top over the next two quarters according to revenue growth rates whereas AMD is bottoming.

It’s unclear how much of Nvidia’s expected $100 billion for the data center in FY2025 is priced in. This has been discussed since at least the last quarter’s earnings report, yet the valuation is still very reasonable. We look at this and more below to prepare you for the most anticipated earnings report of the quarter. 

Revenue and Earnings:

Nvidia is expected to report revenue growth of 239.4% for revenue of $20.54 billion for fiscal Q4 ending in January. These estimates have been steadily rising since the H100-related historic quarter last May. Last spring, the January quarter was expected to report 40% growth, and by November, the January quarter estimates were at 195%. I want to paint a picture for why Nvidia’s price action has been so strong – these revised estimates create ample room in the valuation. 

For next quarter, estimates are for 204.94% growth for revenue of $21.93 billion.

  • Fiscal year 2024 ending in January is expected to report revenue of $59.3 billion for growth of 119.7%.
  • For fiscal year 2025, the company is expected to report revenue of $94.1 billion for growth of 58.9% with the growth overweight in the first half of calendar year 2024. 

Even if we see a beat and raise, the slowing growth in the second half will be hard to overcome due to high comps. As mentioned in the introduction, Nvidia will begin to lap some stellar quarters come the October CY2024 quarter as the growth in October of CY2023 was 205.5% YoY. 

Note: See below for bullish scenarios from analysts where these estimates may be too low.

Earnings growth is similar to revenue growth where the current quarter and also next quarter are expected to be stellar.

  • Q4 FY2024 January quarter is expected to report growth of 426.4% for EPS of $4.63
  • Q1 FY2025 April quarter is expected to report growth of 354.8% for EPS of $4.96
  • From there, the July quarter is also strong at 95.4% growth yet tapers off as the company laps the high comps in the October quarter at 41.4%.

EPS growth of 40%+ is nothing to scoff at, yet the exuberance that pushed Nvidia to achieve a market cap of $1.8 trillion to where it is now the world’s second most valuable company blowing past Meta, Tesla and edging out Amazon, Alphabet is what must sustain. Fundamentals that decelerate are when the exuberance tends to wear off, and that is right around Fall of 2024 as of now.

For EPS the growth decelerates in line with revenue growth:

  • FY2024 ending in January is expected to report full year EPS of $12.40 for growth of 271.1%
  • FY2025 has estimates of $21.36 EPS for growth of 72.32% — as stated, right now, this is front half weighted
  • FY2026 has estimates of $26.54 EPS for growth of 24.24%

We broke our portfolio management rules of having a position above 10% allocation, and therefore, we have to take it seriously that both the top line and bottom line will decelerate from >200% to 40% over the span of six months. Most analysts are in agreement that a beat/raise is likely after hours tomorrow and perhaps for next quarter. What we are keeping an eye on is further out when Nvidia laps the strong quarters in October of this year. That is a long way off, but the market is forward-looking by about 9 months.

According to current estimates, there is no acceleration on the horizon through 2026. We think those estimates will ultimately be wrong especially once AI software ramps, but for now, this is the estimates investors are working with for pricing the stock.

Margins:

  • Gross margin of 74.5% expected this quarter compares to GAAP GM of 63.3% in the year ago quarter. This equals $14.9 billion in gross profit. The adjusted gross margin is expected to be 75.5% this quarter.
  • Operating margin of 58.7% is expected this quarter for operating profit of $11.7 billion. The adjusted operating margin is expected to be 64.5%.
  • Last quarter, net margin was 51% for net profit of $9.25 billion and adjusted net margin was 55.3% for adjusted profit of $10.02 billion. 

Cash Flow:

When we compare the world’s most valuable companies, Apple stands out for its cash. This is where Nvidia will have to improve to ultimately surpass Apple. During the hype cycle of AI software is where that is most likely to occur.

Nvidia’s cash flow is still strong, yet it doesn’t hurt to compare it to other Mag 7 stocks:

Nvidia is the third strongest cash flow generator in the Mag 7, with an operating cash flow margin above 40%, but its smaller scale puts it in sixth place in terms of cash flow generation on a dollar basis. Nvidia’s $17.5 billion in TTM free cash flow pales in comparison to Microsoft’s and Alphabet’s nearly $70 billion – and while it’s not necessarily fair to compare companies in different tech verticals, Nvidia’s rapid ascent to a valuation above Alphabet and Amazon at some point will need to be reflected in the scope of its cash flows, especially when growth begins to decelerate.

Revenue Segments:

  • Data center revenue last quarter was $14.5 billion, up 279% YoY. This compares to 31% growth in the year ago quarter. For this upcoming quarter, Nvidia is expected to report data center revenue of $16.9 billion for growth of 367%, which we outlined here along with a few different scenarios including how Nvidia can get to data center revenue of $101 billion in fiscal year 2025. Note that some of the data center revenue is also driven by networking for AI system with InfiniBand up 500% last quarter to $10 billion annualized run rate. We will update you more on networking after Nvidia’s report tomorrow and also when Marvell reports early March.
  • Gaming revenue of $2.86 billion is up 81% YoY. This compares to a decline of (-23%) YoY in the year ago quarter.
  • Pro Visualization was up 108% YoY for revenue of $416 million compared to a decline of (-65%) YoY in the year ago quarter.
  • Automotive revenue of $261 million was up 4% YoY compared to 86% growth in the year ago quarter.

Additional Notes:

Analysts are Bullish

Bullish is the common theme heading into the report, given that Nvidia has raced from 13% growth in Q1 to 235% expected growth in Q4, and nothing describes the exuberance that accompanies this historic acceleration better than a handful of analyst estimates.

It’s within the data center that this bullishness is visible, as some analysts are expecting a nearly 20% beat on the Street’s $16.8 billion estimate, up to 60% higher than the Street by end of fiscal 2025.

Loop Capital is Nvidia’s largest bull heading into earnings, attaching a Street-high $1,200 price target on shares as the firm believes data center and overall revenue growth through FY 2026 will be meaningfully above the Street’s estimates. Loop is modeling a 17% beat in data center revenue to $19.6 billion, the highest on the Street, driving a 14% beat in total revenue to $23.1 billion.

Loop is projecting the data center to reach a $100 billion annual run rate by fiscal Q2 2025, closing the year out with data center revenue of $117.5 billion, 41% higher than the Street’s consensus of $83 billion. Overall, Loop is modeling more than $132.3 billion in total revenue for Nvidia next year, 38% higher than consensus at $95.8 billion and representing 123% YoY growth, 65 percentage points above the Street.

It is entirely plausible that Nvidia’s growth continues to fly past expectations and mirror a scenario similar to what Loop is modeling, given the elevated levels of demand for its H100 combining with the launch of its faster H200 and B100 GPUs later this year.

KeyBanc sees that Nvidia’s AI capacity is well above the Street and can support data center revenues above $100 billion in calendar 2024, nearly 30% higher than what the Street is modeling. In that sense, there still may be room for another surprise in 2024.

UBS follows closely behind Loop with expectations for a similarly large data center beat in Q4 and impressive Q1 guide on strong demand for AI compute. Analysts are expecting Nvidia to beat on data center revenue by ~$2.5 billion to $3 billion, with their estimate at $19.5 billion for the segment and $23 billion for total revenue. UBS also believes that with “supply chain work,” Nvidia could guide to $25 billion to $26 billion in revenue for fiscal Q1, more than 16% above consensus estimates for $21.9 billion.

BofA is more tame than Loop and UBS, calling for a modest 3-5% beat, or between $500 million to $1 billion above consensus for Q4’s report and Q1’s guide. This view for a beat and raise stems from supply gains offsetting impacts from China restrictions. However, BofA cautions that a beat of this size “’would pale vs. the 10%/22% beat/raise of prior quarters and perhaps disappoint some bulls,’ the more measured pace will also be seen as creating more fertile ground for continued growth.”

Meanwhile, going back to Q3’s report in November, analysts at Barclays said that the Nvidia's large Q3 beat “may not have cleared a very high hurdle,” and "didn't quite meet sky-high expectations" at "only" $2B ahead of consensus with margins at 75% and increasing into January. That commentary serves as a clear, yet somewhat brutal, reminder that even a $2 billion beat and raise had a muted response.

Market Shifts in Anticipation of Growth Rate Changes

An interesting pattern has been playing out with Nvidia’s stock price over the past few years as its quarterly revenue growth rate has shifted.

Nvidia’s shares topped in November and December 2021, around 7 months before growth decelerated from the 50% range to just 3% growth in the July quarter. Shares bottomed in October 2022, 7 months in advance of revenues inflecting off a (21%) decline in the January quarter to a (13%) decline in the April quarter.

Current estimates are calling for a significant deceleration to just 38% growth in the October quarter, and if this pattern continues, then we are at the brink of setting a top above the $700 range as the market anticipates this deceleration.

H200 and B100 to Launch in Q2 and Q4

Nvidia has an ambitious AI GPU roadmap, and is expected to release the next-gen H200 and B100 GPUs later this year, just over one year after releasing the H100. 

The GPUs are expected to offer another leap in performance for AI training and inference, and the H200 is already in demand by the leading CSPs – AWS will be the first to deploy the new GPU, but Microsoft, Google and Oracle will also be deploying the chips.

It’s easy to see why the cloud giants are eager to upgrade quickly — Nvidia says the H200 will boast reduced energy usage and thus a lower TCO, while the introduction of HBM3e memory will essentially supercharge the GPU’s performance. For GPT-3 175B, the H200 is expected to offer 1.4x to 1.9x faster LLM inference on the leading GPT and Llama models compared to the H100, and an 18x performance upgrade compared to the A100.

While it will be too soon to gauge what level of demand there is for the two new GPUs from a Q1 guide, a fiscal year guide could provide insight into whether demand for the H200 and B100 can match the H100, or if Nvidia will face initial supply constraints while ramping production of the two at the same time. Additionally, Nvidia will face competition this year from AMD’s MI300s.

A Note on China:

We detailed in our Q3 report the risks surrounding China given its importance to Nvidia as well as the export restrictions impacting Nvidia’s ability to sell the A100 and H100. Nvidia’s CFO said last quarter that “export controls will have a negative effect on our China business, and we do not have good visibility into the magnitude of that impact even over the long term.”

Any China commentary will be critical, given the $80 billion to $100 billion data center segment that may be impacted. Keybanc has the $101 billion estimate for the data center segment this year yet believes that $20 billion is dependent on China. Per our write-up: “Keybanc sees a $5 impact to Nvidia’s $25.62 EPS estimate, and up to a $20B impact to its data center segment with current estimates at $101B for the data center in FY2025.” 

Valuation:

Fundamentally, Nvidia’s valuation is still quite cheap compared to historical benchmarks, given the sheer leverage and earnings power that the H100 is driving.

Shares are trading at a 91x PE and 32x forward PE ratio, and though it may look elevated, it’s not a range that Nvidia is unaccustomed to – shares traded between a 75x to 100x PE ratio for a majority of the time from the second half of 2020 to early 2022. However, Nvidia’s forward PE of 32x is where the valuation has room to run. Shares bottomed in October 2022 at a 34x forward PE with declining revenue and EPS, compared to today, where EPS is expected to grow at least 73% YoY to $21.36.

On a PS basis, Nvidia still looks reasonably valued, with more potential upside if it can surprise again in 2024. Shares are trading at a forward PS of just over 18x, around the same level it held through the second half of 2023 and a steep discount to the 32x forward PS it peaked at in late 2021. Prior to 2023, Nvidia last traded at around an 18x forward PS in July and August 2022, despite the challenging macro headwinds and declining revenue growth.

Conclusion:

Our process is such that we have no issues placing Nvidia at a lower allocation if needed, or increasing that allocation back to the #1 position if needed. We want to remain flexible while acknowledging two things – the first, is the company will eventually lap high comps and the sky-high growth will not sustain forever. Secondly, that this company is the defacto leader in the multi-generational investment opportunity of AI and is trading at a reasonable valuation.

It’s entirely plausible we get a beat/raise tomorrow and a beat/raise for the next quarter. What needs to be watched is the H2 estimates as they lap high comps of 200%+. The first graph above best illustrates this.

With that said, we are in the first, early powerful move for AIfirst, early powerful move for AI. We have two more powerful moves to go — AI software and AI at the edge, and then automotive will be the grand finale. Nvidia is a leader in both, and I’ve been our stance is that AI software for Nvidia specifically will drive more revenue than AI accelerators. We are seeing early indication that Nvidia can and will compete with Big Tech on AI software and AI at the edge with the Chat with RTX application.

Recommended Reading:

  • Positions Update: Microsoft, Nvidia, and Bitcoin
  • Positions Report – February 2024
  • Big Tech Q4 Earnings: Capex Increases
  • Special Webinar Replay – February 1, 2024
Posted in AI Stocks, SemiconductorsLeave a Comment on Nvidia Earnings Preview: 239% is the Revenue Growth Peak (for now)

Posts navigation

Older posts
Newer posts

Recent Posts

  • The IPO Glut of 2020: Why Valuations Have Gone Too Far
  • Zoom Discusses Two Important Catalysts In Q1 Earnings
  • Three Risk Management Tools the I/O Fund Offers
  • Micron Is Up 900%. Here’s Why the AI Memory Trade May Still Have Room to Run
  • Credo: Reliability Leader Aggressively Moves into Optics

Recent Comments

No comments to show.

Archives

  • June 2026
  • May 2026
  • April 2026
  • March 2026
  • February 2026
  • January 2026
  • December 2025
  • November 2025
  • October 2025
  • September 2025
  • August 2025
  • July 2025
  • June 2025
  • May 2025
  • April 2025
  • March 2025
  • February 2025
  • January 2025
  • December 2024
  • November 2024
  • October 2024
  • September 2024
  • August 2024
  • July 2024
  • June 2024
  • May 2024
  • April 2024
  • March 2024
  • February 2024
  • January 2024
  • December 2023
  • November 2023
  • October 2023
  • September 2023
  • August 2023
  • July 2023
  • June 2023
  • May 2023
  • April 2023
  • March 2023
  • February 2023
  • January 2023
  • December 2022
  • November 2022
  • October 2022
  • September 2022
  • August 2022
  • July 2022
  • June 2022
  • May 2022
  • April 2022
  • March 2022
  • February 2022
  • January 2022
  • December 2021
  • November 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021
  • June 2021
  • May 2021
  • April 2021
  • March 2021
  • February 2021
  • January 2021
  • December 2020
  • November 2020
  • October 2020
  • September 2020
  • August 2020
  • July 2020
  • June 2020
  • May 2020
  • April 2020
  • March 2020
  • February 2020
  • January 2020
  • December 2019
  • November 2019
  • October 2019
  • September 2019
  • August 2019
  • July 2019
  • June 2019
  • May 2019
  • April 2019
  • March 2019
  • February 2019
  • January 2019
  • December 2018
  • November 2018
  • October 2018
  • September 2018
  • August 2018
  • July 2018
  • June 2018
  • May 2018
  • April 2018
  • February 2018
  • January 2018

Categories

  • 5G
  • About
  • Accounting Tips
  • AdTech
  • Ai Platforms
  • Ai Platforms
  • Ai Platforms
  • Ai Platforms
  • Ai Platforms
  • Ai Platforms
  • Ai Platforms
  • Ai Platforms
  • Ai Platforms
  • Ai Platforms
  • Ai Platforms
  • Ai Platforms
  • Ai Platforms
  • Ai Platforms
  • Ai Platforms
  • Ai Platforms
  • AI Stocks
  • AI Stocks
  • Analysts
  • Application Monitoring
  • Application Monitoring
  • Applications
  • Applications
  • Applications
  • Applications
  • Applications
  • Applications
  • Applications
  • AR
  • Audit Reports
  • Autonomous Vehicles
  • Autonomous Vehicles
  • Autonomous Vehicles
  • Autonomous Vehicles
  • Autonomous Vehicles
  • Autonomous Vehicles
  • Autonomous Vehicles
  • Avod
  • Avod
  • Battery Charging
  • Bear Market
  • Bitcoin
  • Bitcoin
  • Bitcoin
  • Bitcoin
  • Bitcoin
  • Bitcoin
  • Bitcoin
  • Blockchain
  • Blockchain
  • Blockchain
  • Blockchain
  • Blockchain
  • Blockchain
  • Blockchain
  • Broad Market Today
  • Bull Market
  • Bull Market
  • Chainlink
  • Chainlink
  • Chainlink
  • Chainlink
  • China Stocks
  • Cloud
  • Cloud Infrastructure
  • Cloud Infrastructure
  • Cloud Infrastructure
  • Cloud Infrastructure
  • Cloud Infrastructure
  • Cloud Infrastructure
  • Cloud Infrastructure
  • Cloud Platforms
  • Cloud Platforms
  • Cloud Software
  • Cloud Software
  • Cloud Software
  • Cloud Software
  • Cloud Software
  • Cloud Software
  • Cloud Technology
  • Company
  • Company
  • Console Gaming
  • Console Gaming
  • Console Gaming
  • Consumer
  • Consumer
  • Consumer
  • Consumer
  • Consumer
  • Consumer
  • Consumer
  • Consumer
  • Consumer
  • Consumer
  • Consumer
  • Consumer
  • Consumer
  • Consumer
  • Consumer Tech
  • Corrections
  • Crypto Investment
  • Ctv
  • Ctv
  • Ctv
  • Ctv
  • Ctv
  • Ctv
  • Ctv
  • Ctv
  • Ctv
  • Ctv
  • Cybersecurity
  • Cybersecurity
  • Cybersecurity
  • Cybersecurity
  • Cybersecurity
  • Cybersecurity
  • Cybersecurity
  • Cybersecurity
  • Cybersecurity
  • Cybersecurity
  • Cybersecurity
  • Cybersecurity
  • Data
  • Data Analytics
  • Data Analytics
  • Data Analytics
  • Data Center
  • Data Center
  • Data Center
  • Data Center
  • Data Center
  • Data Center
  • Data Center
  • Data Center
  • Data Center
  • Data Center
  • Data Center
  • Data Center
  • Data Center
  • Data Center
  • Data Center
  • Data Center and Processing
  • Data Warehousing
  • Data Warehousing
  • Data Warehousing
  • Data Warehousing
  • Databases
  • Databases
  • Databases
  • Databases
  • Dating
  • Defi
  • Digital Ads
  • Digital Ads
  • Digital Ads
  • Digital Ads
  • Digital Ads
  • Digital Ads
  • Digital Ads
  • Digital Ads
  • Digital Ads
  • Digital Ads
  • Digital Ads
  • Digital Ads
  • Digital Ads
  • Digital Ads
  • E-Commerce
  • Earning Updates
  • Earning Updates
  • Earning Updates
  • Earning Updates
  • Earning Updates
  • Earnings Report
  • Earnings Report
  • Earnings Report
  • Earnings Report
  • Earnings Report
  • Earnings Report
  • Earnings Report
  • Earnings Report
  • ECommerce
  • Electric Vehicles
  • Electric Vehicles
  • Electric Vehicles
  • Electric Vehicles
  • Electric Vehicles
  • Electric Vehicles
  • Electric Vehicles
  • Energy Stocks
  • Enterprise
  • Enterprise
  • Enterprise
  • Enterprise
  • Enterprise
  • Enterprise
  • Enterprise
  • Enterprise
  • Enterprise
  • Ethereum
  • Events1
  • Events1
  • Exchange
  • Faq
  • Finance
  • Financial Analysis
  • Financial Analysis
  • Financial Analysis
  • Financial Analysis
  • Financial Analysis
  • Financial Analysis
  • Financial Analysis
  • Financial Analysis
  • Financial Analysis
  • Financial Analysis
  • Financial Analysis
  • Financial Analysis
  • Financial Markets
  • FinTech
  • Fundamental Analysis
  • Gambling
  • Gaming
  • Genomics
  • Glossary
  • Green Energy
  • Growth Stocks
  • Growth Stocks
  • Growth Stocks
  • Headsets
  • Headsets
  • Health Tech
  • Hydrogen
  • Identity
  • Identity
  • Identity
  • Inflation
  • Inflation
  • Inflation
  • Internet of Things
  • Interviews
  • Interviews
  • Interviews
  • Interviews
  • Investing
  • Investing
  • Ltbh
  • Ltbh
  • Ltbh
  • Ltbh
  • Ltbh
  • Macro Trends
  • Macro Trends
  • Market Trends
  • Market Trends
  • Market Trends
  • Market Trends
  • Market Trends
  • Market Trends
  • Market Trends
  • Market Updates
  • Market Updates
  • Market Updates
  • Market Updates
  • Market Updates
  • Market Updates
  • Market Updates
  • Market Updates
  • Market Updates
  • Market Updates
  • Media
  • Membership
  • Mining
  • Mobile
  • Mobile
  • Mobile
  • Mobile
  • Mobile Gaming
  • Mobile Gaming
  • Mobile Gaming
  • Multimedia
  • Music Streaming
  • NVDA | NVIDIA Corporation
  • Performance Updates
  • Pin Content
  • Podcasts
  • Podcasts
  • Podcasts
  • Portfolio
  • Premium Research
  • Press Releases
  • Press Releases
  • Productivity
  • Productivity
  • Productivity
  • Productivity
  • Productivity
  • Productivity
  • Productivity
  • Reports and Whitepapers
  • Research Services Preview
  • Resources
  • Resources
  • Semiconductor Stocks
  • Semiconductors
  • Semiconductors
  • Semiconductors
  • Semiconductors
  • Semiconductors
  • Semiconductors
  • Semiconductors
  • Semiconductors
  • Semiconductors
  • Semiconductors
  • Semiconductors
  • Semiconductors
  • Semiconductors
  • Social Media
  • Social Media
  • Social Media
  • Social Media
  • Social Media
  • Social Media
  • Social Media
  • Software
  • Software
  • Software
  • Software
  • Software
  • Software
  • Software
  • Software
  • Software
  • Software
  • Software
  • Software
  • Software
  • Software
  • Software
  • Solar
  • Solar
  • Stock Analysis PDFs
  • Stock Updates
  • Stock Updates (Blogs)
  • Supplychain
  • Supplychain
  • Supplychain
  • Supplychain
  • Supplychain
  • Supplychain
  • Svod
  • Svod
  • Svod
  • Svod
  • Svod
  • Svod
  • Tech Podcast
  • Tech Stock News
  • Tech Stock News
  • Tech Stock News
  • Tech Stock News
  • Tech Stock News
  • Tech Stocks
  • Tech Stocks
  • Tech Stocks
  • Tech Stocks
  • Tech Stocks
  • Tech Stocks
  • Tech Stocks
  • Tech Stocks
  • Tech Stocks
  • Tech Stocks
  • Tech Stocks
  • Tech Stocks
  • Tech Stocks
  • Tech Stocks
  • Technical Analysis
  • Telehealth
  • Telehealth
  • Telehealth
  • Telehealth
  • Testing Equipment
  • Testing Equipment
  • Top Tech Stock News
  • Travel
  • Trends Report
  • Tutorials
  • Uncategorized
  • Updates
  • Updates
  • Updates
  • Video
  • Video
  • Video
  • Video
  • Video Footage
  • VR
  • Webinar Alerts
  • Webinar Alerts
  • Webinars
Proudly powered by WordPress | Theme: iofund by iofund.co.uk.