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Category: AI Stocks

Astera Labs Q4 Earnings: Strong Commentary for H2 Ramp; What It Could Mean

Posted on February 11, 2025June 30, 2026 by io-fund

Astera Labs reported solid earnings that beat the top-line and bottom-line estimates driven by AI strength. Q4 revenue grew by 179.4% YoY and 24.8% QoQ to $141.3 million, beating estimates by 10.3%. Adjusted EPS grew by 208.3% YoY to $0.37 and 150% YoY to $0.30 after excluding one-time tax benefit, beating estimates by 15.8%.

Management Q1 revenue guide is $151 million to $155 million, representing YoY growth of 134.4% at the midpoint, beating estimates by 14.2%. Adjusted EPS guide is $0.28 to $0.29, beating estimates by 14%.

The only downside in the report was the gross margin, which was below the management guide due to the higher mix of hardware revenue. Management reiterated that margins will trend closer to the long-term gross margin target of 70% from the current 74%.

Looking ahead, the IOF is likely to build a bigger Astera position in 2025 due to nearly-unrivaled pricing power from PCIe 5.0 retimers and higher average sales prices from the soon-ramping Scorpio PCIe 6.0 switches. In our original analysis, it was stated: “We are interested in Astera Labs for the increased average sales prices that are expected to persist at least through 2025-2026 due to the Aries products and upcoming Scorpio products.” This was reiterated on the earnings call: “we will continue to benefit from increased dollar content per accelerator in these next-generation AI infrastructure systems.”

The see-saw market reaction is similar to what we are seeing across many AI-related hardware companies, which is due to mixed messaging around the delivery of Blackwell systems. Management indicated their Q1 is primarily being driven by custom silicon programs, which is a positive to be diversified, yet requires additional due diligence for Nvidia investors such as ourselves.

Overall, management teams are offering a more muted Q1 in their commentary with increased anticipation for H2 2025. Where Astera Labs is unique is they serve both custom silicon and GPU systems, of which, there are many systems combining both.

Regarding tariffs and China, Astera Labs has 15% exposure and this is less of a concern for this stock, then say, something like Blackwell being delayed. It’s speculative as to the extent that Blackwell is delayed, yet we have now another management team aligned with this possibility.

I look at this and more below.

Q4 Revenue Grows 179% from Aries and Taurus Products

Chart of Astera Labs quarterly revenue and YoY growth rates

The company’s Q4 revenue grew by 179.4% YoY and 24.8% QoQ to $141.3 million, beating estimates by 10.3%, driven by strong AI demand.

The company experienced significant revenue growth in Q4 primarily due to strong sales of its Aries PCIe Retimer and Taurus Ethernet Smart Cable Module products. Leo and Scorpio's product momentum continued, with both products shipping in pre-production volumes during the fourth quarter.

Here is what management stated about the beat – most intriguing is the note that 2025 will be a “breakout year” and that the Scorpio products are slated to become the company’s largest product line (and yet did not drive the current outsized revenue growth and beat):

“Our revenue growth in 2024 was largely driven by Aries products, along with a strong ramp of Taurus in the fourth quarter. We expect 2025 to be a breakout year as we enter a new phase of growth driven by production revenue from all four of our product families to support a diverse set of customers and platforms. We expect 2025 to be a breakout year as we enter a new phase of growth driven by production revenue from all four of our product families to support a diverse set of customers and platforms. 

In 2025, our Aries and Taurus retirements are on track to continue their strong growth trajectory. Also, Astera Labs is poised to be a key enabler of CXL proliferation over the next several years with the volume ramp of our Leo family expected to start in second half of ‘25. 

Finally, our Scorpio smart fabric switches will begin ramping this year with new and broadening engagements for a scale up with our X series and scale out with our PCD switches. In time, we expect Scorpio Fabrics switches to become our largest product line, given the size and growth of the market opportunity for AI Fabrics.”to become our largest product line, given the size and growth of the market opportunity for AI Fabrics.”

  • Management Q1 revenue guide is $151 million to $155 million, representing a YoY growth of 134.4% and 8.4% QoQ at the midpoint, beating estimates by 14.2%.
  • Analysts expect revenue to grow 108.6% YoY and 5% QoQ to $160.58 million in Q2 and 59% YoY and 12% QoQ to $179.85 million in Q3.
Graph of Astera Labs revenue growth quarterly and forward estimates 2025
  • 2024 revenue grew by 242.3% YoY to $396.3 million, accelerating from 45% growth in 2023.
  • Looking further out, analysts expect revenue to grow 75% in 2025 and 25.8% in 2026.

Regarding 2025 being a breakout year, management stated it was partly due to increased dollar content per accelerator. We offer more in the Q&A section below, yet this was stated in the opening remarks: “As we look into 2025, we see strong secular trends across the industry, supported by higher CapEx spent by our customers, broadening deployment of AI infrastructure driven by more efficient AI models, and company-specific catalysts that should drive above market growth rates for Astera Labs.

Specifically, for 2025, we expect three key business drivers. One is the continued deployment of internally developed AI accelerator platforms that incorporate multiple Astera Labs product families, including Aries, Taurus and Scorpio. As a result, we will continue to benefit from increased dollar content per accelerator in these next-generation AI infrastructure systems.”

The total addressable market of $12 billion was further reiterated by saying, “We estimate our portfolio of hardware and software solutions across retimers, controller and fabric switches will address a $12 billion market by 2028.”

Gross Margin Contracts 330 Basis Points YoY

The company’s bottom line is growing at a remarkable pace. However, the margins will trend lower in the coming quarters due to the expected higher mix of hardware revenue. Notably, stock-based compensation is high yet the company has strong GAAP profitability potential as SBC becomes a lower percentage in the coming quarters/years.

Table of Astera Labs quarterly gross margins, operating and net margins

The CFO answered an analyst question on margins for 2025. “Now, if you go into 2025, we still see good contribution from Taurus and Aries SCM modules. But as we make it through the year, the Aries board and chips as well as Leo and Scorpio are a positive for us as well. So, we think Q1 and Q2, we should have a consistent margin profile of around 74%. And as we highlighted, margins will be trending down closer to the longer term model of 70%, but it all depends on the mix of our hardware versus silicon.”

  • Gross profit grew by 167.6% YoY to $104.5 million or 74% of revenue compared to 77.3% in the same period last year.
  • Adjusted gross margin was 74.1% compared to 77.3% in the same period last year. The gross margin was below the management guide of 75% due to the higher mix of hardware revenue. Management guide for the next quarter is 74%.
  • Operating margin was 0.1% compared to 17.9% in the same period last year.
  • Adjusted operating margin was 34.3% compared to 24.4% in the same period last year; it was better than the guide of 32.4%, helped by operating leverage. However, operating expenses were higher than the management expectation as it continued to invest in R&D to support the strong growth and they closed a small acquisition in the quarter that also contributed to higher spending in the quarter.
  • Management Q1 adjusted operating margin guide is 30.5%. The CFO said in the earnings call, “Operating expenses will grow in Q1 is largely driven by three factors, one, continued momentum in expanding our R&D resource pool across headcount and intellectual property. Two, seasonal labor, expense step ups associated with annual performance merit increases and payroll tax resets, and three, a full quarter contribution of the strategic acquisition we executed in the latter part of Q4.”
  • Net income grew by 72.7% YoY to $24.7 million or 17.5% of revenue compared to 28.4% in the same period last year. Adjusted net income grew by 277.8% YoY to $66.5 million or 47.1% compared to 34.9% in the same period last year. The company benefited from a one-time tax benefit of $7.6 million in Q4.
  • The vast difference between GAAP and non-GAAP net income was due to the stock-based compensation of $48.2 million or 34.2% of revenue in Q4. Once SBC naturally levels out, this company has strong enough margins to become GAAP profitable.
Chart of Astera Labs quarterly adjusted oeprating margin

Strong EPS growth

Adjusted EPS grew by 208.3% YoY to $0.37 and 150% YoY to $0.30 after excluding one-time tax benefits, beating estimates by 15.8%, driven by strong operating leverage.

  • Q1 adjusted EPS guide is $0.28 to $0.29, beating estimates by 14%.
  • Analysts expect adjusted EPS to grow 38.5% YoY to $1.16 in 2025 and 52.6% YoY to $1.77 in 2026.
Graph of Astera Labs quarterly adjusted EPS

Cash Flows and Balance Sheet

The company’s cash flows are growing, helped by higher revenues.

  • Q4 operating cash flow grew by 175.7% YoY to $39.7 million or 28.1% of revenue compared to 28.5% in the same period last year.
  • Q4 free cash flow grew by 15.4% YoY to $15.45 million or 17.2% of revenue compared to 26.5% in the same period last year.
  • Cash and marketable securities were $914.3 million compared to $886.8 million at the end of Q3 with no debt.
  • Inventories increased to $43.2 million from $24.4 million at the end of Q3. Management clarified in the earnings call Q&A that they will be maintaining the current levels to support growth and the strong growth in Q3 led to the company draw down significant inventories in Q3, which led to the sequential increase in Q4.

Harlan Sur (Analyst):

Appreciate that. And on the balance sheet, inventories are up almost 80% sequentially in the December quarter. That's an all-time high for the team. I think it’s up 60% versus the average inventory level over the past four quarters. Is the significant step-up reflective of a strong multi-quarter shipment profile across the overall portfolio? Or maybe reflective of a step up in more of your board level solutions? Or is it a kind of a combination of both?

A: Jitendra Mohan (CEO and Co-Founder)

Well, if you remember, in Q3, our revenues were very strong. We were up 47% sequentially. A lot of that strength developed during the quarter. So we drew down our inventories pretty significantly in Q3. Now in Q4, we had time to build back to our more normalized level. So this this level of inventory is actually where we feel much comfortable.

We always want to be in a position to support upsize from our customers and – because most of our programs are sole sourced. But this level reflects the growth in our business now.”

Table of Astera Labs quarterly cash flows, margins and balance sheet

Earnings Call:

Aries PCIe6 Forecasts Potential Delay on Nvidia’s GB200s

Astera stated they are shipping pre-production quantities for its Scorpio P Series and Aries PCIe Gen 6 solutions to maximize GPU throughput. The company stated: “These programs are driving higher dollar content opportunities for Astera Labs on a full rack and full accelerator basis and we expect volume deployments to begin in the second half of this year.”

What this comment implies is both the Scorpio P Series and PCIe Gen 6 will deploy in H2, yet originally, PCIe 6.0 was expected to ramp with support initially offered in the GB200s. Back in March, Astera demo’ed PCIe 6.0 for a wide range of Blackwell products.

There was also indication back in the August call that Gen 6 was confirmed to be used in Blackwell’s GB200, and there were initial shipments: “We have started shipping initial quantities of preproduction orders of our PCIe Gen 6 solution, Aries 6. We ship and support our hyperscaler customers initial program developments that are based on Nvidia's Blackwell platform, including GB200.”

There was further confirmation in the November call that preproduction volumes were shipping: “At the recent 2024 OCP Global Summit, we demonstrated the industry's first PCIe Gen 6 fabric switch, which is currently shipping in preproduction volumes for AI platforms.”

As Nvidia investors, we keep a close eye on these suppliers as they often can flag any issues with unparalleled accuracy. Given we are nose-down on many earnings reports over the past year regarding Nvidia’s AI systems specifically, there’s a notable change in tone for Astera to go from preproduction volumes to now shipping in volume in H2. We’ve noticed this change in other earnings reports, and will detail this more fully for you later today.

To stay on the topic of Astera, the following was discussed in the Q&A section:

“Now, if you look into 2025, we see both contributing growth. The first half of the year will be more predominantly the AI – internal AI accelerator programs. But if you get into the back half of the year, the transition on the merchant GPUs will also be very strong for us. This is where you'll see the custom rack configurations start to deploy and that’s where we see a big dollar increase in our contemporary GPU with Scorpio starting to ramp.”

On one hand this is a positive, but on the other hand, it raises questions as to why merchant GPUs (Nvidia) will be stronger in the back half of the year as this does not match the anticipated timing originally described by Nvidia’s management team with the CEO stating, “Blackwell production is in full steam. I think we're in great shape with respect to the Blackwell ramp at this point.”

There could be an argument made it’s unique to Astera Labs, yet we have seen something similar echoed across a few management teams in the last 4 business days, thus, it’s important to inform investors of this change in tone.

Thomas O'Malley   Barclays Bank

Super helpful. And then my follow-up was just — I think it was Mike's commentary on one of the first questions here on the call. You talked about kind of the year 2025 on the Aries side, talking about how in the first half of the year, you would see more internal AI efforts followed by the second half of the year being more merchant GPU. That comment was a bit surprising to me given we're going through a big product transition now at the large customer of yours. So is there any change in the way that you see the ramp of 2025 versus where you did before? I would have anticipated maybe the merchant GPU being a bit stronger earlier in the year. Just any reason behind those comments that caught me a little off guard.

Michael Tate   CFO

Sure. Yes, so the — first of all, the merchant GPU drives both Scorpio and Aries. So the big incremental piece of the merchant GPUs is the score field content which is all new for us. The designs that we have are complex in nature, they're all new. So the — to get them — to productize and ramp we're looking at that to start off in the back half of the year. Right now, in the first half of the year's preproduction. These are all for custom configuration. So the customization adds a little bit of lead time to the volume rates.

Aries, Taurus Driving the Beat; Scorpio is Ramping Quickly

We covered Astera Lab’s product offerings in our deep dive here. The company offers a few key products that are enabling larger and faster AI clusters. For data center AI accelerators, the company was first to offer PCIe 5 switches and retimers. Growth will likely continue due to next-generation PCIe 6 products with higher average sales prices that will be released in 2025 and ramp in 2026. On PCIe6, Astera will compete against Broadcom but this is less of a concern for merchant GPUs from Nvidia, and meanwhile, Astera has indicated it’s custom silicon programs are healthy.

Increased average sales prices are being driven by CPUs, GPUs and ASICs all moving to the new PCIe 5.0 standards. Arista Labs’ Aries Retimers and PCIe 5.0 components is driving the current growth, and the company is unchallenged in this new generation of PCIe, which came to market for AI accelerators only recently with Nvidia’s H200s.

Scorpio is a new product that is expected to expand the TAM to more than $12B by 2028: Astera Labs is releasing a PCIe Gen 6 fabric switch custom designed for AI data flows with high performance per watt compared to incumbents. Rather than building a large switch, the company built a smaller device that is more efficient for high-speed signals. With Scorpio, Astera Labs is defending its dominance in PCIe5 by doubling the bandwidth at lower power requirements than the 5th generation of PCIe.

Aries products drove the company’s strong growth in 2024, along with the ramp of Taurus products in Q4. Management expects Scorpio product revenue to grow sequentially in Q1 and comprise at least 10% of total revenue for 2025.

Mike Tate, CFO, said in the earnings call, “During the quarter, we enjoyed strong revenue growth of both our Aries and Taurus Smart Cable Module products supporting both scale up and scale out PCIe and Ethernet connectivity for AI rack level configurations. For Leo CXL, and Scorpio Smart Fabric Switches, we shipped pre-production volumes as our customers work to qualify their products for production deployments later in 2025.”

Scorpio is especially promising with one analyst stating it was apparent Scorpio will drive more than 10% of revenue with ASPs being “significantly higher” than other products:

Here is what management explained: “So I think to add some color to that, again, the ASP profile of a retimer class device and a switch device tends to be very different, meaning on the switch side, we do get a significantly higher ASP. And if you look at least for the customized AI racks that are being deployed, we are essentially adding a Scorpio socket to go along with the retimer socket. And given that attach rate configuration, what we also see is that the dollar content per GPU will go up. But in general, the switch is a much bigger TAM out there. And then we get to play both in the front end with the P-Series and the back end. Back end tends to be obviously a lot more fertile in many ways because we have many GPUs talking to each other. And we benefit from having a high ASP device like the X-Series switches and them being deployed in a scale that's much more significant compared to any other products that we have released so far.”

China and Tariffs

We have covered in our editorial that semiconductor stocks face geopolitical risks from tariff threats and a possible US-China trade war in 2025, but they will also face a tougher selling climate in China as the country pushes for more domestic production towards its goal for 70% semiconductor self-sufficiency by the end of 2025. Astera Labs has 15% exposure in China, which is less of a concern for this stock.

Conclusion:

Astera is likely to see volatile price action if a Blackwell delay were to be confirmed. Its important investors have a plan and a strategy since there is an unprecedented amount of capital pointed straight at these particular AI systems (GB200s). Our plan, as it stands today, is to embrace the volatility as part of investing, hedge at times, and keep dry powder on hand with plans to buy lower. Should Blackwell ship on time (although I cannot find a component supplier who has reported yet confirming this), then we will, of course, still participate.

For the H2 vision on Astera, here is the thesis in a nutshell from our last write-up:

The products are enabling faster data speeds with PCIe5 and also increased back-end networking with PCIe6 for large AI clusters, and thus management’s commentary that this is a new growth phase holds weight. We certainly know the future for AI clusters is going to exponentially increase from 10s of thousands for AI clusters to eventually millions of AI accelerators per cluster. This is not only a GPU opportunity but also a custom silicon opportunity, as Astera Labs exclusively offered PCIe5 switches and retimers, and will now compete against Broadcom on PCIe6.

Astera Labs is technically in the lead and Broadcom is the follower in this case; but where it gets even more interesting is with the new product Scorpio. It is expected to increase the TAM by $5.0 billion with a total TAM of over $12B over the next 3 years. If we assume Astera captures 50% of the total TAM, then what we have is a stock that will remain in hypergrowth territory. If you do the math, that’s a potential 12X increase in revenue by 2028 from the $500M run rate Astera has today.

Note: Astera’s fiscal year revenue will be $676M for closer to a 10X increase, should the assumptions stated above play out.

Royston Roche, Equity Analyst at the I/O Fund, contributed to this article.

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

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Palantir Stock Sets Path Towards 40% Growth

Posted on February 7, 2025June 30, 2026 by io-fund
Palantir Stock Sets Path Towards 40% Growth

Palantir’s Q4 report was nothing short of exceptional, propelling shares past the $100 milestone on a huge beat and raise with many strong growth metrics. AIP’s release just six quarters ago has proven to be a redefining moment for the company, as it has helped drive a nearly 23 percentage point revenue acceleration in such a short period of time.

Palantir is in a league of its own – not only is it demonstrating significant growth contributions from AI offerings, but its valuation is now well beyond what’s typically viewed as ‘high’ in the software sector. As we had discussed in our October analysis, This Stock Is Crushing Salesforce, MongoDB And Snowflake In AI Revenue, Palantir is continuing to crush other leading AI favorites such as Snowflake or MongoDB when it comes to AI-driven growth.

Palantir’s Q4 Smashes Expectations

If beating its own guidance by nearly $60 million with revenue growth coming in 10 points ahead of said guidance isn’t enough proof of how strong this quarter was, there are many other metrics that display that strength.

Palantir reported $827.5 million in revenue for Q4, coming in far ahead of management’s $769 million guide and $781 million consensus estimates. This represented growth of 36% YoY, versus 26.4% guided and 28.4% expected. It also marked a 6 point sequential acceleration and a significant inflection in Palantir’s growth trajectory from the 12.7% growth reported in Q2 2023 when AIP was released.

Graph of Palantir stock quarterly revenue growth reaccelerating to 36% following launch of AIP in Q2 2023.

 Palantir’s revenue growth accelerated to 36% in Q4.

Q1’s guide was also impressive, with Palantir guiding for $858 to $862 million in revenue, or growth of 35.6%. Analysts were only estimating $799.3 million in revenue, or 26.0% growth, for the quarter. What’s important is that this guide sets the coveted 40% growth in sights: all it would take is a $30 million beat versus guidance for Palantir to report 40% growth for Q1. This was all but written off heading into Q4’s report, with both Q4 and Q1 expected to see ~26% growth – and Palantir smashed that out of the ballpark.

Fiscal 2025’s guide was also quite strong, with Palantir guiding for nearly 31% YoY growth to $3.749 billion at midpoint, a 2 point acceleration from the 28.8% growth reported for fiscal 2024. Analyst estimates were calling for just 25.6% growth to $3.53 billion in revenue in 2025, as management cited “unrelenting demand” for driving its “impressive outperformance.”

US Commercial Growth Wows in Q4

It’s not news that AIP continues to drive strong results for Palantir’s US commercial segment – management said each quarter in 2024 that the segment is “seeing unprecedented demand with AIP driving both new customer conversions and existing customer expansions.” If anything, I would argue that Q4 was the most deserving of high praise of any quarter this year.

Here are some of the top metrics from the quarter for US commercial:

  • Record TCV closed of $803 million, up 134% YoY and 170% QoQ, beating the previous record by almost $400 million
  • Record net new customers of 61, beating the previous high of 41; total customer count up 73% YoY and 19% QoQ to 382
  • Remaining deal value (RDV) of $1.79 billion, up 99% YoY and 47% QoQ, and accounting for roughly 33% of total RDV

Palantir’s sales cycle has raised some concerns, with management acknowledging hiccups in its execution, saying at the start of 2024 that they are still “at the way early days of figuring out how to actually get customers to buy [AIP]” and “not flawlessly executing on our sales motion.” That friction had appeared through Q3 with a deceleration in net new customers for US commercial, though Q4 all but reversed that with a surge in new customers and blazing triple-digit growth in TCV.

Graph of Palantir stock quarterly net new customer additions in US commercial segment, showing record high in Q4 2024.

Net customer additions reached a record at 61 in Q4 for the US commercial segment.

Management shared some TCV highlights, noting that a pharmaceutical company recently signed a $67 million TCV engagement shortly after a pilot, while a telecom firm signed a $40 million TCV expansion. Highlighting another customer success story, management said that “Panasonic Energy North America is seeing the effects of its AIP expansion as they've created a maintenance assistant to help 350 technicians in making 5.5 million batteries per day, resulting in reduced machine downtime, greater throughput, and rapid onboarding of new technicians.”

At the top-line, US commercial revenue rose 64% YoY and 20% QoQ to $214 million in Q4, on top of an already high 70% YoY comp from last year. For 2024, US commercial revenue rose 54% YoY to $702 million, exceeding Palantir’s guide for 50% growth.

Graph of Palantir stock quarterly US commercial revenue and growth rate, showing acceleration after AIP launch

US commercial revenue increased 64% YoY in Q4.

If 54% YoY growth for the segment wasn’t already strong enough, Palantir set the bar even higher for 2025 and guided for another 54% growth to at least $1.079 billion for the segment. Compare this to 2024 – Palantir initially guided for at least 40% growth for US commercial revenue, ending the year 14 points higher. For 2025, the pressure is on to deliver to these high expectations, starting where it left off in Q4.

International commercial has been a weaker spot, with revenue rising 3% YoY in both Q4 and Q3. Management shared that while they are working to “capitalize on targeted growth opportunities in Asia, the Middle East, and beyond,” Europe is lagging, contributing 13% of revenue with just 4% growth over the past year.

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Government Leads the Way for Palantir’s Growth

While Palantir’s success in the commercial sector is quite clear by now, the government sector remains Palantir’s bread and butter. Interestingly, government outpaced commercial growth for the second quarter in a row, at 40% YoY versus 31% YoY.

In Q4, government revenue accelerated 7 points to 40% YoY to $455 million, accounting for 55% of total revenue. Within that, US government revenue increased 45% YoY to $343 million, up from 40% growth in Q3, and international government revenue rose 28% YoY and 26% QoQ to $112 million, benefiting from Palantir’s work with the NHS.

Palantir noted that customers like Anduril in the first Warp Speed cohort were already benefiting from the software in manufacturing – Anduril CIO Tom Bosco said that with the software, “we've seen up to 200x efficiency gain in our ability to anticipate and respond to supply shortages.”

Management also spoke confidently on FedStart, saying the offering “hit a major milestone with the approval of our FedRAMP High Environment for FedStart customers,” which is a “radical acceleration, both in reduction of time and costs of market access for software companies in the federal space.” Management added that CJADC2 (Combined Joint All Domain Command and Control) investments are continuing to deliver results while MAVEN is seeing significant adoption.

For the full year, government revenue rose 28% YoY, doubling 2023’s 14% growth rate. This was driven by 30% growth in US government revenue for the year, fueled by “continued execution in existing programs and new awards reflecting the growing demand for AI in our government software offerings.”

Palantir’s Margins, Cash Flows are Crazy

If accelerating revenue growth by more than 16 points in one year is considered impressive, Palantir’s margins and cash flows have been even better.

Adjusted operating margin has consistently expanded over the past two years, reaching 45% in Q4, up from the mid- to high-30% range over the past four quarters. For 2024, adjusted net margin was 39%, up from 28% in 2023.

Graph of Palantir stock quarterly adjusted operating margin expansion

Palantir’s adjusted operating margin expanded to 45% in Q4, with Q1 expected to be 41.4%.

If there was anything to nitpick, it would be that Q4’s adjusted operating margin could be overinflated – adjusted operating income came in at $372 million, $70 million ahead of guidance. This was due to a sharp increase in employer payroll taxes related to SBC – this rose 4x QoQ to $79.7 million.

Stripping out the SARs impact ($115 million SBC, $15 million payroll taxes) would leave employer payroll taxes at $64 million, or ~3x higher than Q3 and more than 6x higher than Q4 2023 – this is much higher than the typical trajectory for Palantir. If you normalize this to ~$20 million plus the SARs impact, adjusted operating income would instead be ~$328 million, or 40%.

For Q1 and for 2025, Palantir provided strong adjusted operating income guidance, suggesting that Q1 comes in at 41.4% and the full year at 41.6%. It is quite impressive to eye further margin expansion to the 40%+ range consistently given that Palantir is guiding for a minimum of 30% growth for the year. However, management added that expenses are expected to see a “more significant increase” in 2025 due to higher investments in technical hires and its AI product pipeline.

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Additionally, cash flow margins are ridiculously strong, with operating and adjusted free cash flow margins both above 50% for the second quarter in a row. Q4’s operating cash flow was $460 million for a 56% margin, with adjusted free cash flow of $513 million, for a 63% margin. For 2024, operating cash flow was $1.15 billion for a 40% margin, with adjusted FCF of $1.25 billion for a 44% margin (well ahead of guidance for FCF to exceed $1 billion).

For 2025, management is eyeing cash flow generation to remain strong, forecasting adjusted free cash flow between $1.5 billion and $1.7 billion, or a nearly 43% margin at midpoint. Again, to be putting up these cash flow margins while accelerating revenue growth and expanding operating margins puts Palantir in rare territory.

Palantir’s Other Strong Key Metrics

There were a handful of other key metrics that came in quite strong in Q4, and suggested that underlying business momentum remains robust heading into 2025. These include:

  • 2x sequential growth in deals >$10M to 32
  • Rule of 40 of 81% (revenue growth + adjusted operating margin), increasing from 68% last quarter and 54% last year
  • Net retention rate expanding 2 points to 120%, reaching the highest level since Q1 2022 (seen below)
  • RPO increased 40% YoY to $1.73 billion, although this marked a deceleration from 59% YoY growth in Q3. RPO’s growth will be important to watch –RPO growth decelerating below the revenue growth rate has foreshadowed significant revenue decelerations for Snowflake in late fiscal 2023 and early fiscal 2024.

AIP’s impact on net retention is clear – NRR bottomed the quarter following its release at 107%, and has consistently ticked higher since then, reaching 120% in Q4. Management continues to stress that NRR has “not yet fully captured the acceleration and velocity in our U.S. business over the past year,” so tracking its trajectory through 2025 will show to what degree the 150+ customers added in 2024 are expanding spend on the platform.

Graph of Palantir stock quarterly net retention rate reaccelerating following launch of AIP in Q2 2023.

In Q4, Palantir’s net retention rate reached the highest level since early 2022 at 120%.

Palantir Executives Comment on DeepSeek

As concerns swirl over the state of the AI landscape following the recent release of DeepSeek’s R1 model at the end of January, Palantir’s management was questioned about what they believe the impacts are.

CTO Shyam Sankar explained that Palantir has said for two years that “models across both open and closed source are becoming more similar and performance will converge, all while the cost per token for inference continues to drop substantially,” DeepSeek’s R1 has taken that from “a contrarian position to consensus. It's now blindingly obvious to everyone,” adding that “AIP was built for this reality.”

Sankar added that models are “commoditizing” as the “price of inference is dropping like a rock. But I think the real lesson, the more profound one is that we are at war with China. We are in an AI arms race.”

This is something I agree with, as I shared my thoughts about AI spending on Fox Business News with Charles Payne during the market’s bloodbath of AI stocks on January 27. I explained that AI spending goes up in times of war, and that this “will cause the United States and Big Tech companies to spend more,” with Big Tech, startups, and other countries all battling on AI.

A Note on Palantir’s Valuation

To many investors on social media, Palantir’s valuation remains a hot topic, with it blowing past norms and reaching the upper echelons of the stratosphere for what is considered ‘typical’ for SaaS stocks. Put it this way — how often do you see a software company re-accelerate revenue from the teens to close in on 40% in six quarters organically and sustainably, while both increasing profitability and posting cash flow margins in excess of >50%?

Palantir is now trading at nearly 87x TTM revenue, making other best-of-breed cloud names such as CrowdStrike and Cloudflare look cheap at 28x and 31x TTM revenue. Down the line, Palantir is trading alongside Snowflake and Cloudflare at 170-190x forward adjusted EPS.

Graph of Palantir, CrowdStrike, Cloudflare, Snowflake and DataDog stock forward price-to-sales ratio.

Source: YCharts

Analysts share similar hesitations about Palantir’s valuation as it passed $100 per share:

  • Mizuho said that the “valuation cannot and should not be irrelevant, and we find it exceedingly difficult to justify PLTR's multiple that in our view already discounts significant further acceleration and upside versus consensus expectations.”
  • Jefferies cautioned that Palantir “would need to accelerate growth to 50% for four years and trade at 18-times 2028 revenue estimates ‘just to hold its stock price’.”

Palantir is fast approaching the 2021 peaks of Snowflake and Cloudflare at 115x trailing revenue, begging the question — could Palantir extend this run and go higher to match those valuations? Anything is possible, but I would caution that these levels tend to be volatile and tend not to hold well in the long term – Snowflake is still down 60% from its 2021 peak despite revenue rising 4x.

Conclusion

Palantir has since gone on a tremendous run driven by unwavering AI-driven momentum, and a significant revenue reacceleration driving strong profitability growth. Given the outsized valuation, the I/O Fund is looking for a lower entry in Palantir while we are continuing to purchase other small and mid-cap AI beneficiaries. Advanced members will receive real-time trade alerts for any trade on PLTR and other AI stocks – take advantage of our limited-time monthly promo! Learn more 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:

  • Palantir’s Stock Is Priced For Perfection
  • Palantir Stock: How High Is Too High?
  • Big Tech AI Stocks to Showcase AI Gains, Capex in Q4 Reports
  • Why Solana is Outperforming Ethereum by 26,500% Since 2020
  • DeepSeek Creates Buying Opportunity for Nvidia Stock
Posted in AI Stocks, CybersecurityLeave a Comment on Palantir Stock Sets Path Towards 40% Growth

AMD Q4 Earnings: Q1 Decline in Data Center, Mgmt Drops AI Guidance

Posted on February 5, 2025June 30, 2026 by io-fund

AMD is seeing weak price action for two reasons. First, the company is guiding for a decline QoQ from Q4 to Q1 across most segments, including the data center. Management also implied H1 of 2025 will be flat compared to H2 of 2024 in the data center. The market’s reaction is saying, “this isn’t exactly Nvidia

Second, management is dropping AI guidance from their commentary. If you’ve been following along, then you’re aware that AMD provides guidance around their expectations for AI-related GPU sales. For example, they stated this year GPUs would “exceed $5 billion” yet we started the year with commentary that GPUs would be in the range of $2 billion.

In response to AMD’s qualitative guidance, analysts would raise estimates, making it impossible for AMD to provide a surprise beat. It was a tough situation, and fairly rare to have analysts always doubling what a management had stated (on a forward basis). Therefore, I don’t disagree with what management is doing, which is creating immediate-term pain for a more equal playing field as they go ship the better architecture in the second half of 2025.

The Street thinks dropping AI guidance is hiding an issue, and communicating that there must be more weakness ahead. Almost-always, when a management team drops a key metric, it means it’s too weak to continue reporting this key metric. I believe it’s the opposite, that AMD is setting up the equal playing field before the MI350 and MI400 architecture arrive, as it’s been generally understood to be the moment when AMD can close the gap with Nvidia on some workloads.

The topic of “some workloads” is where the market will continue to get the AI story wrong, in my opinion. There is not one perfect chip, or AI system, for every single workload. It’s true that to train the trillion+ parameter models coming out of OpenAI that Nvidia’s NVL systems will be needed. However, it’s my contention that as some Big Tech workloads and enterprises seek lighter models at a reduced cost, that AMD’s new GPU architecture (coming in H2 2025) will be a strong choice.

Lastly, AMD is in pole position for edge computing, which they collectively refer to as mobile processors. Similar to data center GPUs, Nvidia will bring its sheer might and compute power as evidenced by Project Digits (the $3,000 supercomputer), yet you will you hear me continue to recognize AMD as an AI PC leader, and for lighter AI workloads at the edge (and those not looking to blow the bank), this is unlikely to change anytime soon as it’s what AMD does best.

Regarding the weak price action, overall, our firm has done quite well on this stock over the years and even recent quarters. It’s understandable if some investors are growing frustrated, yet this is not a stock we hold at a loss. We think we may be identifying a bottom, and this is key to understanding why we decide to continue to hold a stock, at times. Knox can fill you in more on Thursday on what he is seeing. If we think the stock has bottomed, then you’ll likely see us tough this one out as we are overweight Nvidia in both its stock ticker and its suppliers. We are strategically preparing for the days of “cheaper AI” which has been a thesis of ours for years; I’ve stated on Fox recently that Nvidia’s biggest threat is its gluttonous pricing power.

On the topic of custom silicon, AMD hinted its hat is in the ring. As is Nvidia. As is Broadcom, of course. As is Marvell, of course. As are a few startups. Due to the sensitive nature of IP, I foresee a scenario where each hyperscaler uses a different design company as it could expose their IP to go to one source for custom designs. We will track this as we go along.

Data Center Revenue falls short of estimates

AMD beat the revenue and EPS estimates. The company’s Q4 revenue grew by 24.1% YoY to $7.66 billion, beating estimates by 1.8%. The adjusted EPS grew by 41.6% YoY to $1.09, beating the estimates by a modest 0.4%. The revenue guidance for Q1 is $7.1 billion, representing YoY growth of 29.7% at the midpoint and beating the estimates by 1.6%.

The company’s revenue growth was led by record quarterly data center and client segment revenue. Data center revenue grew by 69% YoY and 9% QoQ to $3.86 billion. However, the revenue fell short of estimates of $4.14 billion. AI revenue exceeded $5 billion for the year 2024. Management expects strong AI and data center revenue growth in 2025. However, the earnings call lacked visibility on when AI revenue would ramp up, and guidance was missing in the earnings call.

The company’s launch of MI350 chips in mid-2025 should be a significant catalyst as the management believes that the MI350 chips have the largest generational increase in AI performance they have ever produced.

Revenue

The company’s Q4 revenue grew by 24.1% YoY to $7.66 billion, beating estimates by 1.8%. The company’s revenue growth was led by record quarterly data center and client segment revenue, partially offset by lower embedded revenue.

  • Management revenue guidance for Q1 is $7.1 billion, representing YoY growth of 29.7% at the midpoint and beating the estimates by 1.6%. Management mentioned that the revenue will be down (-7%) sequentially due to seasonality.
  • Analysts expect 28% growth in Q2 and 23.2% growth in Q3.
  • The full-year revenue grew by 13.7% YoY to $25.8 billion.
  • Looking further out, analysts expect revenue to grow 23.9% YoY in 2025 and 23.3% in 2026.
  • Management expects double digit revenue and EPS growth driven by strong AI demand. The second half revenue is expected to higher than the first half due to the MI350 launch in mid-2025.

Segments

Data Center

Data Center revenue grew by 69% YoY and 9% QoQ to a record $3.86 billion. However, the data center revenue fell short of estimates of $4.14 billion and also decelerated from 122% growth in Q3. Management highlighted during the earnings call that 2024 was a significant year for the server business driven by the ramp-up of fifth-gen EYPC Turin and strong double-digit YoY growth in fourth-gen EPYC sales.

Data Center segment operating income was $1.2 billion or 30% of revenue compared to $666 million or 29% a year ago.

During the Q&A, there was a discussion that GPUs could be about $2 billion (an analyst’s words, not management – but they did not deny this number). Yet, the sticking point (as discussed) is that H1 will be flat compared to H2. Here was a response to his question as to whether the $2 billion will grow in H1: “I think you should assume that the first half of 2025 data center segment will be consistent with the second half of '24. And that's true for both businesses on the server side as well as the data center GPU side.”

Client Segment

Client segment revenue grew by 58% YoY and 23% QoQ to $2.31 billion, driven by strong demand for Ryzen desktop and mobile processors. 

Client segment operating income was $446 million or 19% of revenue compared to operating income of $55 million or 4% of revenue a year ago, driven primarily by operating leverage.

Per management, they are not concerned that inventory is building with these knockout numbers. “We don't believe there is some substantial inventory build up. We actually think that what we're seeing is very strong adoption of our new products. So on the desktop side, we saw our highest sell-out in many years, as we went through the holiday season, launching our new gaming CPUs, frankly, they have been constrained in the market, and we've continued shipping very strongly through the month of January as we are catching up with some demand there.”

Gaming Segment

Gaming segment revenue was $563 million, down (-59%) YoY, primarily due to a decrease in semi customer revenue. However, was up 22% sequentially. Gaming segment operating income was $50 million or 9% of revenue compared to $224 million or 16% a year ago.

Looking forward, management believes channel inventories have now normalized and semi-custom sales are expected to return to more historical patterns in 2025.

Embedded Segment

Embedded segment revenue was $923 million down (-13%) YoY and flat sequentially due to the slower recover in the end market. Embedded segment operating income was $362 million or 39% of revenue compared to $461 million or 44% a year ago.

Margins

The company’s margins are improving with higher data center revenue mix. Going into 2025, management expects margins to be better in the second half of the year due to higher contribution from the data center revenue and it was clarified during the earnings call Q&A. The client business expansion will be a headwind in the first half due to the higher concentration of consumer business, which has margins below the corporate average.

Toshiya Hari (Analyst)

“That's great. And then as a quick follow-up, maybe one for Jean. So you're guiding gross margin to 54% in the first quarter. I'm curious what some of the major puts and takes are and those are the things that we should be cognizant of going into Q2 and more importantly, the second half. Given your data center commentary skewed more to the second half, I would expect margins to improve in the second half. But yes, if you can kind of run through the pluses and minuses, that would be really helpful. Thank you.

Jean Hu (CFO)

Yes. Thanks for the question. You are right. Our gross margin is primarily driven by our revenue mix, I think when you look at looking to 2025, Q1 guide, not only data center continued to grow significantly year-over-year. At the same time, client business is also growing year-over-year. So overall, the revenue mix is quite consistent with the Q4. So the gross margin guide is 54%. I think for the first half, if the revenue mix is at this level, we do feel the gross margin will be consistent with 54%. But going into second half, we do believe the data center is our fastest growth driver for the company and that will drive the gross margin to step up in second half.”

  • Q4 gross margin was 51% compared to 47% in the same period last year. Adjusted gross margin improved 300 bps YoY to 54% due to favourable shift of higher mix of data center and client revenues, lower gaming revenue and partially offset by lower embedded revenue. Management guide for Q1 is 54% due to the similar revenue mix as Q4.
  • Operating margin was 11% compared to 6% in the same period last year. Adjusted operating margin was 26% compared to 23% in the same period last year. Operating expenses increased 23% YoY to $2.1 billion as the company invested due to the expected strong growth in AI. Management expects adjusted operating margin to be 24% in the next quarter.
  • Net margin was 6% compared to 11% in the same period last year. Adjusted net margin was 23% compared to 19% in the same period last year.

EPS

The adjusted EPS grew by 41.6% YoY to $1.09, beating the estimates by a modest 0.4%. The strong growth was driven by higher data center revenue.

  • Analysts expect adjusted EPS to grow 52.2% YoY in Q1 and 55.7% in Q2
  • Looking further out, analysts expect adjusted EPS to grow 41.5% YoY to $4.68 in 2025 and 46.3% YoY to $6.85 in 2026.

Cash Flows and Balance Sheet

The company’s cash flows are improving driven by higher profits.

  • Q4 operating cash flow grew by 241% YoY to $1.3 billion or 17% of revenue compared to 6% in the same period last year driven by higher data center revenue.
  • Q4 free cash flow grew by 351% YoY to a record $1.1 billion or 14% of revenue compared to 4% in the same period last year.
  • Cash and short-term investments were $5.13 billion and debt of $1.72 billion compared to $4.54 billion and $1.72 billion at the end of Q3.
  • The company repurchased shares worth $256 million in Q4.

Earnings Call:

Dropping AI Revenue Guidance:

AI revenue exceeded $5 billion for the year 2024. Despite the change in tone and dropping AI guidance, there was one exchange in particular where management reiterated it will grow “strong double digits” in 2025. The details can appear confusing, as on one hand, you have H1 2025 as flat, but on the other hand, you have the growth being “strong double digits.” For anyone who follows AMD closely, it’s assumed they are referring to a strong MI350 launch in what appears to be between May-July time frame (that’s my take on the timing, considering what management has described – typically it would have been August for AMD’s cadence).

This question cut to the chase of what was on everyone’s minds – which is how management is thinking about the impact of MI350s coming given a flat H1 2025 had been discussed.

“Stacy Rasgon

Got it. Thanks. And I guess for my follow-up, maybe to follow on there, do you think your exit rate on GPUs in '25 is higher than your exit rate in '24. Are you willing to commit to that?

Lisa Su 

Absolutely. But yes, of course. It would be hard to grow strong double digits otherwise, right?”

As stated in the opening remarks, the launch of MI350 chips in mid-2025 should be a significant catalyst as the management believes the chips have the largest generational increase in AI performance they have ever produced. There was additional information provided:

“So as it relates to how data center — so the overall data center business will grow strong double digits certainly, both the server product line as well as the data center GPU product line will grow strong double digits. And from the shape of the revenue you would expect that the second half would be stronger than the first half, just given MI350 will be a catalyst for the data center GPU business. But overall, I think we are very pleased with the trajectory of the data center business in both 2024 and then going into full year 2025.”

Q1 Data Center Weakness:

Although Q4 beat on revenue, Q1 is expected to be soft with a 7% sequential decline. According to management, data center will be down just above the (-7%) total revenue sequential decline and in line with the corporate average, client and the embedded business to be down more than the total revenue decline, gaming to be down less than the total revenue decline.

The moment the stock went from being down 3% to being down 8% was when more color was provided that data center would be participating in this decline. Client is expected to be weak from Q4 to Q1, as device sales are always lower in Q1 for all consumer-device related companies (i.e., Apple, etc). Yet, seeing Gaming having stronger QoQ growth than data center is not ideal.

Here was the conversation that caused the stock to see steeper losses:

Q: Aaron Rakers (Analyst)

Yes. Thank you very much. And as a quick follow-up, just thinking about the guidance overall relative to that down 7% sequential I know you mentioned seasonality across the business segments. Are you assuming that you are down sequentially in data center in total in 1Q? And how do I frame that relative to seasonality? Thank you.

A: Lisa Su (CEO)

Yes, sure, Aaron. So let me give you some more color on the Q1 guide. So Q1 guide was down 7% sequentially, as Jean mentioned. And the way that breaks out in each of the segments assume that data center would be down just about that average, so the corporate average. We would expect the client business and the embedded business to be down more than that. Just given where seasonality is for those businesses. And then we would expect gaming business will be down a little less than that. And that's a little atypical from a seasonality standpoint, but we are coming-off of a year when there was a lot of let’s call it, inventory normalization. And now that inventory has normalized, we would expect that, that would be down a little bit less than the corporate average.”

MI350s Shipping Sooner than Expected

As with all underdogs, AMD has only a few chances to make its mark. We’ve been reporting for some time that this would be the CDNA-4 architecture with the MI350s (shipping in volume H2 2025), and if successful, then the CNDA-NEXT with the MI400s will be another opportunity (probably about a year later, H2 2026).

Here is what I’ve stated in the past:

“We will match that timeline and say we hope to see AMD be a leader in the market and in our portfolio by 2027-2028. CDNA 4 architecture is due out in 2025-2026, and is the most likely catalyst that I see today to narrow the product road map with Nvidia.”

This is what management stated about the upcoming architecture: “CDNA 4 will deliver the biggest generational leap in AI performance in our history, with a 35 times increase in AI compute performance compared to CDNA 3. The silicon has come up really well. We were running large-scale LLMs within 24 hours of receiving first silicon and validation work is progressing ahead of schedule.”

The silver lining to the earnings report is that it looks like investors will get a guide that includes some of the MI350s in the next earnings report as AMD is moving up their shipping expectations. Previously, this would have been about two quarters out. From Lisa Su: “Based on early silicon progress and the strong customer interest in the MI350 series, we now plan to sample lead customers this quarter and are on track to accelerate production shipments to mid-year.”

There were additional comments in the Q&A on this timing:

“And then the big news is on the MI350 series. So we had previously stated that we thought we would launch that in the second half of the year. And frankly, that bring-up has come up better than we expected, and there is very strong customer demand for that. So we are actually going to pull that production ramp into the middle of the year, which improves our relative competitiveness.”

By relative competitiveness, what AMD’s goal is put it into plain words, is that while Blackwell is greatly supply constrained due to the massive NVL systems, and already sold-out next year, AMD will aim to release a competitive architecture that serves the outsized demand for the B200s.

Quick Note on Custom Silicon:

There are many competitors on custom silicon, and AMD made it clear in the earnings call that they are one of them:

“And I just want to reiterate on the ASIC side, look, I think ASICs are a part of the solution, but there — I want to remind everyone, they are also a very strong part of the AMD sort of toolbox.

So we've done semi-custom solutions for a long-time. We are very involved in a number of ASIC discussions with our customers as well. And what they like to do is, they'd like to take our baseline IP and really innovate on top of that. And that's what I think differentiates our capability is that we do have all of the building blocks of CPUs, GPUs, as well as all of the networking technologies that you would need to put the solutions together.”

Conclusion:

What will get us to close our position? Price, first and foremost – which is why we sizably trimmed the position a few months ago. From what I’m hearing on the technicals side, price is doing what was expected, but you will know if this changes via our real-time trade alerts. Secondly, if the MI350s are too weak to take the overflow in capex that Blackwell supply cannot fulfill. If consumer and tariffs create more impact than currently priced in. We always have a plan.

With that said, I will be watching with keen interest the launch of the MI350s. If this release benchmarks “close enough” to the B200s then AMD investors will be rewarded. If the benchmarks are too far apart, the proverbial David (Lisa Su and team) will have missed a critical window for striking with her slingshot. Despite what benchmarks say, we only have to watch how Big Tech capex funnels to truly know how AI accelerators are being received; this is a proxy and substantial (unprecedented) flow of capital that overwhelmingly matters more than what analysts, industry experts, or even management teams say or predict. Big Tech companies are at the forefront and they will make the ultimate decision.

Right now, that capex is pointed directly at Nvidia, which was the basis of our Q1 webinar. We will see come late Spring/early Summer if AMD can pry some of the roughly $300 billion loose. The market is giving up, but that sometimes becomes precisely the moment when a stock bottoms.

Before I conclude, keep an eye on the Client segment as it’s abundantly clear who is in the lead with AI PCs. Nvidia will do quite well here too, but AMD’s numbers are communicating something very important about their lead in edge AI.

Royston Roche, Equity Analyst for the I/O Fund, contributed to this analysis.

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 AMD at the time of writing and may own stocks pictured in the charts.

Recommended Reading:

  • AMD Q4 Earnings Preview: The Bottom May Be Near
  • Microsoft FQ2 Earnings: Soft revenue guidance
  • TSMC Q4 2024 Earnings: Record Profit Led by Robust AI Demand
  • Micron Q1: Data Center Revenue Surges 40% QoQ but Consumer Weak
Posted in AI Stocks, SemiconductorsLeave a Comment on AMD Q4 Earnings: Q1 Decline in Data Center, Mgmt Drops AI Guidance

AMD Q4 Earnings Preview: The Bottom May Be Near

Posted on February 4, 2025June 30, 2026 by io-fund

AMD reports after the bell tomorrow. Analysts expect revenue to grow 22% YoY to $7.53 billion and adjusted EPS to grow 41.1% YoY to $1.09. The company’s data center and client segments have performed well in Q3, with the Data Center segment growing 122% and the Client segment growing by YoY. The gaming segment and embedded segments have been headwinds, yet in the recent Barclays Conference, management said that “they (headwinds) are behind us when we look ahead of 2025.”

Management’s AI revenue guide for 2024 is to exceed $5 billion, a $500 million increase announced during Q3 results. Investors will be looking for the 2025 AI revenue guide and commentary in the earnings call. The current consensus estimates for 2025 is about $9.5 billion in AI revenue.

AMD stock underperformed YTD till the news of DeepSeek came in, as analysts had reduced estimates due to the expected lukewarm response for the new MI325 chips. However, AMD fared better during the last Monday’s sell-off than other semiconductors. We’ve discussed key price levels in the Advanced webinars as of late, and right now, AMD is holding the support laid out months ago.

AMD is at the forefront of integrating the DeepSeek-V3 model on Instinct MI300X GPUs and is optimized for AI inferencing, which is positive for the stock. It also supports our thesis that Nvidia owns training, while AMD will compete on inference by lowering costs for inference, specifically. Although DeepSeek is not a death knell for Nvidia, it foreshadows that eventually cost will be at the forefront of AI development and Nvidia’s pricing power will not sustain forever.

AMD’s management has been especially clear that the MI350 chips based on new CDNA-4 architecture is the release they are most excited about with a 35X increase in performance compared to CDNA-3. Again, AMD’s thesis is not about training models, it’s about running them at the edge where cost combined with speed will take the reins as opposed to Nvidia’s big compute muscles in the data center. Nvidia will compete on inference too, but it’ll be this market that matters most for AMD’s AI story.

The PC market is mired in concerns over tariffs, as the idea is PCs that source parts in China will need to pass the cost of tariffs onto consumers. AMD’s stock price has clearly been affected by these concerns. With that said, AMD is currently the leading AI PC company. Consider that last quarter, the Zen 5 Ryzen processors drove Client revenue up 29% YoY and up 26% QoQ to $1.88 billion while competitor Intel was flat. However, Nvidia’s Project Digits and RTX 5090 GPU laptops are set to defy all odds with an order of magnitude higher TOPS. Therefore, it comes down to costs and how much performance is needed (as will be the ongoing theme between these two competitors).

Similar to last quarter (and last half of the year), industry analysts are showing a decline in the mid to high single digits QoQ for PC data, yet MoM for December was stronger than expected due to seasonality in both the United States and Chinese New Year.

Our conclusion to the post-earnings last quarter called out tariffs as a primary reason for the weak price action. It’s not clear if the tariff story is already priced into AMD’s stock price, but it could already be priced in, so keep an eye out for that outcome. Notably, the question of when a stock bottoms is not an easy one to answer. However, we’ve been tracking this company quite closely and it’s our hope the stock has already bottomed or will bottom very soon. The price has acted accordingly by holding support in the $110 to $114 range. Therefore, how low is too low for AMD’s stock price, given 22% of its revenue is already from AI? This is a separate question than when will AMD effectively compete with Nvidia, on a path to 10% or more of the GPU market? The answer is that often price will bottom first.

Revenue

Management provided a soft Q4 revenue guide of $7.5 billion, representing a YoY growth of 21.6% at the midpoint due to headwinds in gaming and embedded segments. However, management had hinted during the recent Barclays Conference that these headwinds are now behind when we look into 2025.

  • Q3 revenue grew by 17.6% YoY to $6.82 billion. Data center drove Q3’s growth, while Client revenue rebounded significantly, offsetting continued weakness in gaming and embedded.
  • Analysts expect Q4 revenue to grow 22% YoY to $7.53 billion and accelerate to 28.2% and 28.6% in the subsequent two quarters. Analyst estimates have come down after the company’s soft guidance and also due to the expected lukewarm response for the MI325 chips.
  • Looking further out, revenue growth will accelerate from the expected 13.1% growth in 2024 to 25.6% growth to $32.2 billion in 2025 and 23.4% growth in 2026.

Segments

The company’s Data Center and Client segments showed strong growth in Q3. While Gaming and Embedded segments presented headwinds, management indicated at the recent Barclays Conference that these challenges are expected to be resolved as the company looks toward 2025.

Data Center

Q3 Data Center revenue grew by 122% YoY and 25% QoQ to $3.55 billion, driven by strong demand for AMD Instinct GPUs and EPYC server CPUs. Zen 5 Turin was launched in October 2024 and will help support data center sales in 2025. The MI325X chips were launched in October with increased memory capacity and bandwidth, with AMD stating it offers 20% higher inferencing than the H200.

Regarding the MI300 AI accelerators, Meta and Microsoft are large customers due to TCO advantages (total cost of ownership). Management also offered statements about RocM’s progress, stating that foundational support is growing and performance gains are improving by 2.4X.

The company’s launch of MI350 chips in the second half of 2025 should be a significant catalyst as the management believes that the chips have the largest generational increase in AI performance, they have ever produced. Management expects sequential growth in Data Center revenue in Q4 driven by the expected strong demand for Instinct, EPYC, and Ryzen processors.

Data Center operating margin improved to 29% compared to 19% in the same period last year.

Client Segment

Client segment revenue grew by 29% YoY and 26% QoQ to $1.88 billion in Q3, driven by strong demand for the Zen 5 Ryzen processors. Management expects client segment revenue to grow sequentially in Q4.

The PC market has been sluggish. AMD could fare better in the coming quarters due to its strong line of AI PCs. AMD said its chips will be used by Dell for the first time in PCs sold to businesses. AMD also unveiled its new Ryzen AI Max chips, offering up to 90% faster performance vs predecessors, delivering the highest level of performance available in premium thin and light notebooks. Further, it announced a new 9000 series of desktop computer processors that should also help to propel the revenue in 2025.

The client segment operating margin improved to 15% in Q3 from 10% in the same period last year.

The PC market has been sluggish. AMD could fare better in the coming quarters due to its strong line of AI PCs. Citi analyst said that the December notebook shipments increased 8% MoM due to a pull in demand ahead of Chinese New Year and potential tariffs. Notebook shipments were down (-7%) QoQ and were better than the company’s estimates of (-8%) decline, though below the normal season gain of 2%. Citi expects notebook shipments to decrease (-10%) sequentially in Q1, above the normal (-14%) decline.

Gaming

Gaming revenue declined by (-69%) YoY and (-29%) QoQ to $462 million in Q3 as semi-custom sales declined due to reduced inventory by Microsoft and Sony. Management expects modest sequential growth in Q4.

Operating margin declined to 2% compared to 14% in the same period last year.

Embedded

Embedded revenue declined by (-25%) YoY and up 8% QoQ to $927 million. Management expects modest sequential growth in Q4. Operating margin declined to 40% compared to 49% in the same period last year.

AI Revenue

Management provided an AI revenue guide for 2024 that is to exceed $5 billion, a $500 million increase announced during Q3 results. Investors will be looking for the 2025 AI revenue guide and commentary in the earnings call. The current consensus estimate for 2025 is about $9.5 billion. Analysts have reduced estimates due to the expected lukewarm response for the new MI325 chips.

Wolfe Research estimates data center GPU revenue in the range of $1.5 billion to $2.0 billion for 4Q and $7 billion for CY2025, lower than the prior estimate of $10.8 billion. For Q1 2025 they estimate $1.75 billion and flat quarterly growth for the rest of the year. KeyBanc analyst also trims estimates and expects $10 billion revenue in 2025. Loop Capital has reduced estimates from $10 billion to $8 billion. HSBC has reduced to $8.1 billion from $12.3 billion. Management AI commentary is very crucial to soothe the markets, given that MI350 chips are expected to be released in the second half of 2025.

In December, AMD invested in Vultr, an enterprise Cloud infrastructure company and a competitor of DigitalOcean. Vultr uses AMD’s graphic processing units in its data centers.

Margins

As stated in the pre-earnings writeup, margins are an area where AMD and Nvidia offer quite a contrast. AMD’s data center margin is 29% with a company operating margin of 11% compared to Nvidia’s 60%.  The guide is for flat margins next quarter. The CFO was encouraging in terms of what to expect for 2025: “When we scale the company next year, you can see we're going to benefit from economies of scale to continue to drive our operational efficiency to improve gross margin.”

The company’s margins are improving with a higher mix of data center revenue and operational efficiencies. The company also announced in November that they are planning to reduce about 4% of its workforce to focus on better growth opportunities.

Margins are expected to improve in 2025. The growth in data center revenue is the largest driver for margin improvement, including both CPU and GPU business and the expansion of the enterprise server business also has a tailwind on the gross margins. The gradual improvement of the Embedded business will also improve margins. On the other hand, the client business expansion will be a headwind due to the higher concentration of consumer business, which has margins below the corporate average.

  • Q3 gross margin was 50% compared to 47% in the same period last year, driven by strong growth in Data Center revenue.
  • Adjusted gross margin was 54% compared to 51% in the same period last year. Management guide for Q4 is 54% compared to 51% in the same period last year.
  • The adjusted operating margin also improved to 25% compared to 22% in the same period last year, driven by operating leverage. Management guide for Q4 is 27% compared to 23% in the same period last year.
  • Q3 net income was $771 million or 11% of revenue compared to $299 million or 5% of revenue in the same period last year. Adjusted net income was $1.50 billion or 22% of revenue compared to $1.14 billion or 20% of revenue in the same period last year.

EPS

The company’s Q3 adjusted EPS grew by 31% YoY and 33% QoQ to $0.92, which was helped by higher data center revenue. Analysts expect strong growth in the coming quarters. However, estimates have been coming down as analysts are cautious due to the expected lukewarm response for MI325 chips.

  • Analysts expect adjusted EPS to grow 41.1% YoY to $1.09 in Q4 and accelerate to 53.3% growth to $0.95 for Q1.
  • Looking further out, analysts expect adjusted EPS to grow 49.8% YoY to $4.98 in 2025, accelerating from the expected 25.4% growth in 2024. For 2026, analysts expect adjusted EPS to grow 39.1% YoY to $6.92.

Cash Flows and Balance Sheet

Cash flows are improving and have room for further improvement due to the expected better bottom line in 2025.

  • Q3 operating cash flow was $628 million or 9% of revenue compared to 7% of revenue in the same period last year.
  • Q3 free cash flow was $496 million or 7% of revenue and 9% excluding certain nonrecurring payments compared to 5% in the same period last year.
  • The company had cash and short-term investments of $4.54 billion and debt of $1.72 billion compared to $5.34 billion and $1.72 billion in the same period last year. The company paid $548 million for the previously announced acquisition of Silo AI and repurchased shares worth $250 million in Q3.

Valuation

The company is trading at a P/E ratio of 105 and a forward P/E ratio of 23.5.

P/S ratio is 7.8 and a forward P/S ratio of 5.9 compared to the five-year average of 8.9.

Conclusion

If I were to use my crystal ball, I think AMD’s stock price will bottom well before the cloudy (murky) narrative from the Street clears. The company has 22% in GPU revenue today, and if analyst estimates are correct, then the company will end the year with 30% in GPU revenue. This does not include AI revenue from AI PC sales, which are growing steadily QoQ, and the $9.5 billion analyst estimates on AI don’t include any upward surprise impact from AMD’s upcoming new architecture for H2 2025. The new architecture will undoubtedly be aimed at speeding up real-time throughput as cheaply as possible as AMD gathers its strength against a far more capable competitor than Intel ever was. Yet, cheap is the keyword here, as AMD’s margins would likely expand based off its pricing, where Nvidia’s could contract when the inference market truly takes off (this is further off once inference overtakes the training market). This stuff is nuanced for AI investors, so be prepared to hear a lot more details from the I/O Fund as we go along.

Royston Roche, Equity Analyst at the I/O Fund, contributed to this article.

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

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Posted in AI Stocks, SemiconductorsLeave a Comment on AMD Q4 Earnings Preview: The Bottom May Be Near

DeepSeek Creates Buying Opportunity for Nvidia Stock

Posted on January 31, 2025June 30, 2026 by io-fund
DeepSeek Creates Buying Opportunity for Nvidia Stock

DeepSeek caused a deep rout in AI stocks earlier this week with Nvidia erasing more than $600 billion in value; the biggest one-day loss of any company in history. The R&D company out of China stated the model cost $6 million to train, which sent the market into a panic as this is pennies to the dollar compared to what Big Tech is spending. The jerk-reaction readthrough was that, in the blink of an eye, DeepSeek had fundamentally rewritten the AI capex story. 

The battle between the United States and China on large language models (LLMs) following DeepSeek’s challenge to OpenAI has been called AI’s Sputnik moment. The most important takeaway for investors about this analogy is that Sputnik spurred massive investments. It was not the final destination, rather, it was the beginning of a multi-decade space race. The Sputnik satellite cost $15 to $20 million or $33 million with cost-adjusted inflation, yet the United States would spend an estimated $1 trillion over a sixty year period in response.

The United States takes it quite seriously to stay in the lead, and AI will spur an arms race unlike anything the world has seen before. Consider that it took sixty years for the government to spend $1 trillion (inflation adjusted) on the space race, yet in one sweeping piece of legislation, the United States will spend $500 billion in 5 years on AI infrastructure, up from $70 billion being spent in 2024 alone.

Remember, it was the market’s so-called “efficiency” that caused Nvidia’s stock to drop 60% from a gaming-related miss following rumors that Ethereum’s merge to Proof-of-Stake (PoS) would be the death knell for the stock. This was the very moment the powerful AI GPUs called Hopper were shipping, equipped with a Transformer Engine that would enable self-learning models, and change the world as we know it.

Tech is defined by disruption, by thousands of product announcements, and by leagues of competitors. It can be a noisy and costly sector when investors get whiplashed by the news of the day. My firm has an enviable track record on Nvidia – including speaking out during staggering selloffs or supply chain rumors. This includes also telling you when we are not buying, or when a stock is frothy, such as when Nvidia was trading in the $140s. We also go to great lengths to tell you when we plan to buy again. You will find dozens (perhaps hundreds) of articles on DeepSeek at this point; yet you will be hard pressed to find one other person helping investors navigate Nvidia’s stock at this granular level.

Below, I provide evidence that DeepSeek is notnot the black swan that killed Nvidia overnight – in fact, driving down the costs of AI development has always been the plan — and will ultimately boost Nvidia’s sales in the long run as AI will leave the data center, and move on-premise for enterprises and on-device for consumers.

I also touch base on what investors should keep an eye on price-wiseprice-wise moving forward for the GPU juggernaut.

DeepSeek’s DualPipe Algorithm

DeepSeek’s DualPipe Algorithm optimized pipeline parallelism, which essentially reduces inefficiencies in how GPU nodes communicate and how mixture of experts (MoE) is leveraged. MoE refers to distributing a computational load across “multiple experts” (or neural networks) to train across thousands of GPUs using what is called model and pipeline parallelism. This enables more compute-efficient training yet the parameters still need to be loaded in VRAM, so the memory requirements remain high.

Tom’s Hardware wrote an article about this a month ago, with an usually prescient title: “Chinese AI company says breakthroughs enabled creating a leading-edge AI model with 11X less compute — DeepSeek's optimizations could highlight limits of US sanctions.” The article stated: “The DualPipe algorithm minimized training bottlenecks, particularly for the cross-node expert parallelism required by the MoE architecture, and this optimization allowed the cluster to process 14.8 trillion tokens during pre-training with near-zero communication overhead.”

By allowing the routing of tokens to experts and the aggregation of results to be handled in parallel through code called PTX (Parallel Thread Execution), DualPipe helped to drive down costs. The software essentially optimized the hardware. The company also created a 4-node maximum to limit nodes and reduce traffic, allowing for a more efficient communication framework.

MoE models like DeepSeek’s can provide numerous benefits, and this is what DeepSeek is showing – an ability to train larger models at a lower cost with much faster pre-training, faster inference, and an ability to deliver decreased first-token latency. However, MoE also can require higher VRAM to store all experts simultaneously and can face challenges in fine-tuning.

Mixed Point Precision and Multi-Head Latent Attention Lowers Memory Usage

DeepSeek’s success is also found in lowering memory usage with multi-head latent attention that lowered memory usage to 5% to 13%. MLA ultimately reduces memory requirements during inference by processing long sequences of text. As pointed out by ML Engineer Zain ul Abideen, “MLA achieves superior performance than MHA, as well as significantly reduces KV-cache boosting inference efficiency.”

It has been estimated that HBM3e’s component costs in Hopper GPUs could be as much as 25% higher than HBM3-equipped GPUs, and it’s expected HBM4 will add more costs due to the complexities of delivering faster data rates. 

Memory is an expensive component and Hopper is known for its limited memory capacity at 80GB of HBM3e memory versus Blackwell’s 192GB of HBM3e (nearly 2.5X the memory in the upcoming release). Therefore, reducing memory usage is one path to optimizing Hopper GPUs.

DeepSeek’s success also stemmed from its pioneering approach to model architecture. The company introduced a novel MLA (multi-head latent attention) method that lowers memory usage to just 5%–13% of what the more common MHA architecture consumes. 

Nvidia’s hardware excellence stands out in the Hopper generation of GPUs with the Transformer Engine. Two years ago, Hopper’s transformer engine brought about Chat-GPT’s big moment as the OpenAI model eliminated the need to find patterns between elements mathematically, and this opens up which datasets can be used and how quickly.

The H100s also leverage the transformer engine for mixed precision, such as FP8, FP16 or FP32, depending on the workload. Nvidia architected the ability to switch between floating precision points in order to require less memory usage. Here is what Nvidia states:

“There are numerous benefits to using numerical formats with lower precision than 32-bit floating point. First, they require less memory, enabling the training and deployment of larger neural networks. Second, they require less memory bandwidth which speeds up data transfer operations. Third, math operations run much faster in reduced precision, especially on GPUs with Tensor Core support for that precision. Mixed precision training achieves all these benefits while ensuring that no task-specific accuracy is lost compared to full precision training. It does so by identifying the steps that require full precision and using 32-bit floating point for only those steps while using 16-bit floating point everywhere else.”

DeepSeek says that FP8 allowed it to “achieve both accelerated training and reduced GPU memory usage,” as it validated FP8’s usage for training large scale models for a fraction of the cost.  A majority of the “most compute-density operations are conducted in FP8, while a few key operations are strategically maintained in their original data formats,” such as those that require higher precision due to sensitivity reasons.

Though lower-precision training has often been “limited by the presence of outliers in activations, weights, and gradients,” and tests have shown that FP8 training was prone to higher instability and more frequent loss spikes, it is now emerging as a solution for efficient training due to hardware advancements (i.e., Hopper bringing powerful FP8 support, Blackwell bringing FP4).

DeepSeek also provided recommendations for future chips to accommodate low-precision training and replicate this at scale, suggesting chip designs should “increase accumulation precision in Tensor Cores to support full-precision accumulation, or select an appropriate accumulation bit-width according to the accuracy requirements of training and inference algorithms.”

This is what Blackwell was designed to address, with new precisions in Tensor Cores, FP4 precision, increased SM count, and more CUDA cores versus the Hopper. Blackwell also packs 208 billion transistors to provide up to 20 petaflops of FP4, compared to the H100’s 4 petaflops of FP8. The B200 features a second-generation transformer engine supporting 4-bit floating point (FP4), with the goal of doubling the performance and size of models the memory can support while maintaining accuracy.

To simply recreate DeepSeek’s training efficiencies and develop large-scale models, Hopper GPUs are a requirement due to support for FP8, with Blackwell bringing FP4 to power real-time inference and supercharged training for trillion parameter models.

Understanding the nuances of Nvidia’s hardware is the reason that I first called out Nvidia’s AI GPU thesis and CUDA moat in late 2018, and in 2019, Volta’s AI capabilities prompted me to say on my premium stock research site: “I believe Nvidia will be one of the world’s most valuable companies by 2030.” This has led to potential gains of over 4,000% for our free readers.AI GPU thesis and CUDA moat in late 2018, and in 2019, Volta’s AI capabilities prompted me to say on my premium stock research site: “I believe Nvidia will be one of the world’s most valuable companies by 2030.” This has led to potential gains of over 4,000% for our free readers.

Blackwell is Not Hopper

This may seem like a moment where AI software is triumphant, yet we are at the end of the Hopper generation with the H100s (and the more restricted H800) GPUs being available for two years now. Two years is eternity in the AI arms race, and the fact Hopper is reaching a point of peak optimization at the very moment that Blackwell is shipping is not a shocking new revelation — rather, it’s the point of keeping a fast-paced product road map. Per Nvidia’s Computex keynote, from Pascal to Blackwell, their AI systems will deliver “1,000 times increase in AI compute,” while simultaneously decreasing the “energy per token by 45,000X.

Therefore, the market is a bit confused to think the 11X increase in compute from software optimizations is going to catch Nvidia off guard. Below are the stated differences between the H100 and GB200 NVL72 systems on Mixture of Experts (MoE) real-time throughput and training speeds.

Nvidia H100 vs. GB200 NVL72 comparison on MoE inference throughput and training speeds, based on Nvidia’s 1,000X AI compute increase claim

DeepSeek acquiesced the limitations they faced in deploying the model is “expected to be naturally addressed with the development of more advanced hardware.” Note, they are not saying with the development of more advanced software.

I made the point nearly a year ago that Nvidia is competing with Nvidia with its one-year product release road map stating: “The product road map is the single most important thing investors should be focused on. A good chunk of the AI accelerator story is understood at this point. What is not understood is how aggressive Nvidia is becoming by speeding up to a one-year release cycle for its next generation of GPUs instead of a two-year release cycleThe product road map is the single most important thing investors should be focused on. A good chunk of the AI accelerator story is understood at this point. What is not understood is how aggressive Nvidia is becoming by speeding up to a one-year release cycle for its next generation of GPUs instead of a two-year release cycle."

In addition, by open sourcing the model, there will be more developers who can build new AI capabilities. As stated in a Predibase analysis, there were 500 derivative models of DeepSeek created in a few days’ time.

Nvidia has been early to this eventual outcome with the launch of Project Digits, a $3,000 supercomputer that can run 200B-parameter models. By releasing powerful personal computers, Nvidia seeks the proliferation of its GPUs – much like Apple’s iPhone — whereas companies like OpenAI are the ones most challenged by an open source LLM that drives down input token and output token costs that are 27X less expensive than OpenAI’s o1 model.

Blackwell Inches United States Toward General Artificial Intelligence (AGI)

The reason that software has not officially begun to commoditize hardware, and we could be as far as 5-10 years away from this moment, is because AI development is incredibly nascent. Blackwell and future generations of GPUs are a necessity for AI development to inch closer to the start of general artificial intelligence (AGI).

There have been discussions questioning if it is possible to reach AGI with reinforcement learning: “artificial general intelligence can be achieved if an agent tries to maximize a reward in a complex environment because the complexity of the environment will force the agent to learn complex abilities like; social intelligence, language, etc.”

Reinforcement learning is an ML method where an agent or model learns to make decisions through interactions in its environment, via rewards or punishments. Agents will interact with the environment, receive a positive or negative reward, and adjust its decisions/actions based on the feedback it has received.

AGI refers to the creation of a machine that is capable of performing intellectual tasks on par with humans, and have the ability to understand, learn and apply knowledge to a wide range of domains. Both RL and AGI involve learning from interactions with the environment, though RL is typically more focused on specific tasks or environments where AGI aims to be ‘all-encompassing.’

If software efficiencies from China are relatable to Sputnik, then the arrival of AGI will be the moment we land on the moon. AGI requires an order of magnitude larger models – minimum 1 trillion, up to 10 trillion or more. Reinforcement learning is certainly a step in the right direction, yet trillion+ parameter models are inevitable – and it’ll require Nvidia and other AI accelerator design companies to get there.

A benchmark performance comparison of DeepSeek V3 and its counterparts, including GPT-4o, Claude 3.5, and LLaMA 3, across reasoning, mathematics, and coding tasks.

Source: DeepSeek R-1 Pictured Above: Nvidia Stock saw its market cap shed $600 billion in one day  following DeepSeek’s release with benchmarks surpassing OpenAI on its performance and reasoning abilities. DeepSeek R-1 Pictured Above: Nvidia Stock saw its market cap shed $600 billion in one day  following DeepSeek’s release with benchmarks surpassing OpenAI on its performance and reasoning abilities. 

DeepSeek is Cheap … Or is it?

DeepSeek has stated V3 was trained on 14.8 trillion tokens in pre-training, with each 1 trillion tokens taking 180K H800 GPU hours (3.7 days) on its 2,048 H800 cluster. Compare this to Meta’s 405 billion parameter Llama 3.1 model, which was trained in 54 days (30.8M GPU hours) on a 16,384 H100 GPU cluster, estimated to cost ~$80 million at a $2.6/hour rental price.

This accounted for a majority of the costs at $5.328 million, assuming a $2/hour rental price for the H800s (this is about in-line with long-term contract rates at Lambda for the H100, but ~20% lower than short-term costs from other startup cloud providers).

The estimated $6 million cost for DeepSeek would also be pennies on the dollar compared to estimated training costs for OpenAI’s GPT-4 and Alphabet’s Gemini Ultra.

Beth Kindig’s tweet on rising LLM training costs, estimating OpenAI’s GPT-4 at $78M and Google’s Gemini at $191M.
A cost comparison of DeepSeek V3 training vs. LLaMA 3.1, GPT-4, and Gemini Ultra, highlighting efficiency in GPU hours, token training, and total expenses.

Source: DeepSeek

While the training costs were estimated utilizing rental prices (and up for debate), what’s important to note is that the $5.6 million cost only excluded “costs associated with prior research and ablation experiments on architectures, algorithms, or data.”

Democratization of AI Helps Nvidia

Nvidia’s goal is to not only sell GPUs to the fortresses of Big Tech. Rather, all tech companies seek large addressable markets and the democratization of AI will assist Nvidia in reaching worldwide AI device ubiquity.

In the meantime, Blackwell is sold out. Microsoft stated this week that they are still supply constrained in the cloud, and Azure needs more supply to grow. Meta doubled down on its planned capex for 2025, and signaled a willingness to spend “hundreds of billions” towards AI infrastructure in the long run.

In the medium term, Nvidia will allocate supply to enterprises and edge AI, as lower costs will facilitate enterprise AI and edge computing. The market grew concerned that there would not be ROI on these large AI investments, and on the other hand, the market now is panicking when costs are lowered to the point where ROI can be achieved.

This has always been Nvidia’s goal, with CEO Jensen Huang and other executives declaring at high profile stages such as CES and GTC that the cost of computing will go down with each generation of GPUs. At GTC 2024, Huang explained that Nvidia “accelerated algorithms so quickly that the marginal cost of computing has declined so tremendously over the last decade that it enabled generative AI to emerge. He further explained that reducing the cost of computing and accelerating computing is what Nvidia “does for a living at its core,” and that the “pricing that we create always starts from TCO.”

Nvidia VP Ian Buck corroborated this at BofA GTC Conference in June 2024: “The opportunity here is to help [customers] get the maximum performance through a fixed megawatt data center and at the best possible cost and optimized for cost.”

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

What to Monitor for Nvidia’s Earnings Report

There seems to be no end to the amount of Blackwell supply rumors with yet another one circulated in January 2025. According to Taiwan Semiconductor’s management team, “cut the order, that won’t happen. Actually [it will] continue to increase.”

Here are the additional points that cause us to believe Blackwell revenue will show up soon enough:

1) Nvidia CEO Jensen Huang at CES reconfirmed that Blackwell is in full production, adding that “every single cloud service provider now has systems up and running."

2) CFO Colette Kress in Q3’s earnings: “Blackwell demand is staggering and we are racing to scale supply to meet the incredible demand customers are placing on us. Customers are gearing up to deploy Blackwell at scale.”

3) CFO Colette Kress in Q3: “While demand is greatly exceeding supply, we are on track to exceed our previous Blackwell revenue estimate of several billion dollars as our visibility into supply continues to increase.”

4) CFO Colette Kress at UBS’ Global Technology Conference: “What we see in terms of our Blackwell, which will be here this quarter is also probably a supply constraint that is going to take us well into our next fiscal year for several quarters from now. So, no, we don't see a slowdown. We continue to see tremendous demand and interest, particularly for our new architecture that's coming out.” UBS Analyst Tim Arcuri added, “you are actually shipping more Blackwell than you thought you would three months ago.”

5) CFO Colette Kress at CES: “We are able to increase our demand and increase our revenue each quarter as well. … When we think about the demand that is in front of us, it is absolutely a growth year.”

Big Tech’s Capex

Two weeks ago, my firm covered how Big Tech capex (AI spending) came in significantly above expectations in 2024, and is on track to repeat that in 2025. To recap, analysts had initially estimated capex of ~$200 billion for Big Tech in 2024, an increase of ~30% YoY. However, our latest checks suggest that Big Tech is on track to spend at least $236 billion in capex in 2024, 18% higher than analyst estimates and representing YoY growth of more than 52%.

For 2025, Big Tech is on track to spend $300 billion or more on capex, based on initial commitments from Microsoft and Meta totaling at least $140 billion combined. This is already tracking ~7% higher than ~$280 billion estimated by analysts, with Microsoft’s $80 billion commitment 40% higher than estimated and Meta’s $60-65 billion more than 18% higher than estimated.

DeepSeek has highlighted one major tailwind that has been overlooked – if AI models can now be trained quicker and cheaper, it’s likely to catalyze demand for GPU instances in the cloud from leading providers, as GPUs can be rented much faster than setting up new infrastructure. In order to meet elevated demand, hyperscalers will need to continue purchasing, or even accelerate purchasing, Nvidia’s GPUs in order to prevent chip constraints from impeding revenue growth.

Analyst Revisions for Nvidia’s Stock Remain Unchanged

In June 2024, in the analysis Here's Why Nvidia Stock Will Reach $10 Trillion Market Cap By 2030, I discussed the importance of intra-quarter analyst revisions supporting Nvidia’s massive run, as data center revenue continued to blow past expectations.

Seen below, Nvidia’s revenue for FY25 was estimated at $120 billion in June, being revised 31.5% higher over the six months prior. In dollar terms, that represented a nearly $29 billion increase from $91.3 billion. For FY26, revenue was estimated at $157.5 billion in June, a 44.8% increase from $108.8 billion, a nearly $50 billion increase in six months.

Analyst revisions for Nvidia stock remain unchanged, with FY25 revenue estimates rising 31.5% and FY26 increasing 44.8%, reflecting strong data center growth.

Compare that to today:

Nvidia’s FY25 revenue revised up by 7.6% to $129.2 billion, with FY26 showing a 20% increase to $196.5 billion, reflecting strong growth with no intra-quarter revenue hiccups.

FY25 revisions are up just 7.6% (or $9 billion) since July to $129.2 billion as the fiscal year comes to a close, but FY26 revenue is 20% higher to $196.5 billion. That’s another $39.5 billion (or over a full quarter at the current run rate) that has been added in the past seven months.

Nvidia FY26 Q4 revenue revised down slightly by 1.3% amidst Blackwell rumors, with a marginal increase in Q4 FY26 estimates due to DeepSeek V3 release, still showing significant growth.

Opinions aside, intra-quarter revisions will be where you will first see any material hiccups or impacts on revenue. FY26 quarterly revisions have come down slightly over the past month, at -1.3% lower for Q4. So far, there has been no impact from DeepSeek’s V3 release – in fact, estimates inched marginally higher on January 28, with Q4 FY26 revenue rising from $55.49 billion to $55.51 billion.

The bigger picture – revenue is still 14% to 24% higher than it was six months ago. At this scale, that’s $6 to $10-billion-plus higher.

Where Nvidia’s Stock Price Goes Next

Let’s talk price targets.

In the write-up “Where I Plan to Buy Nvidia Stock Next” we stated that Nvidia still needs, at least, one more push higher to complete the current uptrend. This would make the volatility that started in June of 2024 a correction within a larger uptrend.

We still believe that NVDA’s uptrend is not over. We stand by the two scenarios outlined in the last report; both are still in play.

“Blue – The final 5th wave is playing out as an ending diagonal pattern, which is common for 5th waves. This type of pattern is a 5 wave pattern in itself that is characterized with large swings in both directions. Our target zone for the bottom on this 4th wave is $126 – $116. If Nvidia can push over $140.75, then then odds favor this scenario.

Red – Nvidia is in a much more complex 4th wave. If this is playing out, NVDA would see the $116 level break, which opens the door to a potential low at $101, $90, or $78.”

Nvidia stock analysis with key target levels ($116, $132) and two potential scenarios for future price movement, outlining buying strategies and risk factors.

While the $116 support level still holds from our last analysis, the resistance worth monitoring is now $132. If Nvidia can breakout over the $132 resistance, it will shift the odds to the more immediately bullish count in blue. This would see a push into the $170 – $190 region over the coming months.

On the other hand, if Nvidia breaks below the $116 support level, it will signal that the more immediately bearish count in red is playing out. This would see us make a meaningful low in the $102 – $83 range over the coming months.

We began executing on our current buy plan, which is to layer into Nvidia at key levels. The $126 – $116 region was our first target. If the $116 region breaks, we will then target the $102 – $83 region to complete our buying. Considering the blue count is looking for a final 5th wave higher, we will likely not chase a breakout over $132.

Conclusion

If DeepSeek’s breakthroughs are truly the key to ushering in a new paradigm of AI training and ultimately AI democratization from cost reductions, it will not be a death sentence for Nvidia; in fact, quite the opposite.

This is Jevons paradox — where the technological advancements of Hopper and Blackwell will translate into significant efficiency gains and cost reductions for AI training, that then will drive near-ubiquity for AI services — and thus increase demand for GPUs in the data center, on-premise for enterprises and also on edge devices.

The market’s readthrough is that Big Tech has now been overspending on AI. However, The I/O Fund believes this readthrough is wrong; it’s not that the United States is overspending, it’s that we will accelerate spending to stay ahead. The I/O Fund recently entered five new small and mid-cap positions that we believe will be beneficiaries of this AI spending war. We discuss entries, exits and what to expect from the broad market every Thursday at 4:30 p.m. in our 1-hour webinar. Learn more here.

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:

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Posted in AI Stocks, SemiconductorsLeave a Comment on DeepSeek Creates Buying Opportunity for Nvidia Stock

Big Tech AI Stocks to Showcase AI Gains, Capex in Q4 Reports

Posted on January 24, 2025June 30, 2026 by io-fund
Big Tech AI Stocks to Showcase AI Gains, Capex in Q4 Reports

The first earnings season of 2025 is kicking off in full swing, with Big Tech in the spotlight starting next week. Microsoft and Meta’s quarterly reports are due on January 29th, followed by Alphabet on February 4th.

Two questions are likely to be a focal point during Big Tech’s results – how have AI investments been paying off in terms of revenue and contribution to growth, and what will AI investments look like for 2025? Microsoft has been more forward as to where AI spending will land in 2025, noting that it would be investing $80 billion towards AI data center capacity this year. The recent rounds of earnings, more specifically in August 2024, saw heightened scrutiny from analysts over the ROI from AI capex, and it’s likely that this theme persists this quarter.

2024 Capex Blew Estimates Out of the Water; 2025 Likely to Follow

Big Tech’s capex in 2024 blew estimates out of the water, coming in much higher than expected, with 2025 likely to follow as Microsoft has already signaled AI-data center capex 42% higher than estimated.

Analysts had initially estimated capex of ~$200 billion for Big Tech in 2024, an increase of ~30% YoY. In the first half of 2024, Big Tech spent nearly $104 billion, a 47% YoY increase. Through Q3, that sum had surged to $170 billion, up 56% YoY. Our latest checks suggest that Big Tech is on track to spend at least $236 billion in capex in 2024, 18% higher than analyst estimates and representing YoY growth of more than 52%.

For 2025, capex is likely to follow a similar strong growth trajectory, as companies have already signaled a willingness to invest substantially more this year predominantly for AI. Analysts are currently forecasting growth in the $280 billion range, up ~20% to 25% YoY, though we believe capex could surpass $300 billion in 2025.

The primary takeaway here is that there is alpha in AI hardware and data center suppliers when capex comes in much higher than expected, as more money is flowing beyond Nvidia to the outer reaches of the ecosystem.

AI Stocks Rise as US Nods Towards $500 Billion in AI Infrastructure

Earlier this week, the US government unveiled plans to spend up to $500 billion on AI infrastructure under a project codenamed Stargate. Consisitng of Oracle, OpenAI, SoftBank, and MGX, working alongside tech partners Arm, Nvidia, and Microsoft, the project is said to start with an initial $100 billion commitment before potentially scaling to up to $500 billion in investment through 2029. Arm, Microsoft and Oracle all surged on the news.

Stargate will focus on building out AI infrastructure for AI model development and deployment, breaking ground in Texas on the first data center. This is not necessarily new, as Stargate was first discussed in April 2024 by Microsoft and OpenAI as the fifth and final stage of a supercomputer buildout focusing on a 5GW data center operational by 2028.

Meta Stock’s Capex to Surge in Q4

Capex will continue to be in focus for Meta, as higher than expected spending forecasts have impacted shares in the past, especially as ROI for AI investments is not as crystal clear as the hyperscalers. Meta is aggressively investing in compute and data center capacity as it continues developing its Llama family of models, fine-tuning its feed to boost engagement and increase time spent on apps, and optimizing ad delivery.

Management explained that they “expect servers will be the largest driver of growth in 2025 and remain the largest portion of our overall CapEx budget, though we also expect higher spend in data centers and network equipment as we continue to just scale our overall infra footprint.” To note, Meta was among the largest deployers of custom silicon in 2024, with an estimated 1.5 million of its MTIA accelerators deployed alongside ~224,000 Hopper GPUs purchased. Management added that they “expect growth in non-AI capacity as we invest in the core business, including to support a higher base of engagement as well as refreshing existing servers, as well as AI capacity as we scale Gen AI training and continue to invest meaningfully in core AI.”

Through Q3, Meta’s capex totaled $24.4 billion, implying capex spend is rising from $9.2 billion in Q3 to $14.6 billion in Q4 to reach the midpoint of Meta’s $38-40 billion guide. Management was clear on expecting “significant growth” in 2025, with servers the largest driver (and largest portion of spending) followed by data centers and networking. Meta will likely provide an initial capex guide for FY25 in the upcoming report, with the level of growth in focus following ~40% implied growth in FY24.

For a deeper understanding of Big Tech’s capex and trajectory past one-quarter trillion in spending this year, read AI Spending To Exceed A Quarter Trillion Next Year.AI Spending To Exceed A Quarter Trillion Next Year.

Meta Says Generative AI Growth is Early

Q4 is expected to wrap up a strong growth year for Meta, with revenue projected to increase 17.1% YoY to $47 billion, at the higher end of management’s $45 billion to $48 billion range, with EPS increasing 26.5% YoY to $6.74. For the full year, revenue is expected to rise 20.8% with EPS increasing 52.5%.

Meta stock's revenue growth is expected to slow to 14.6% for Q1 and Q2.

Meta is expected to report 17.1% revenue growth in Q4 and 14.6% for the first half of 2025.

GenAI is not expected to be a meaningful contributor to revenue in FY24, per Meta’s management, but core AI, used for improvements in ad engagement and performance, has been driving revenue gains. Meta is capitalizing on improved ad pricing, driven by increased ad demand fueled by improved ad performance – a result stemming both from AI integrations for advertisers and optimizations to its AI-driven feed.

This is offsetting slowing growth in ad impressions as Meta laps strong double-digit growth. For example, Meta acknowledged that improvements to its AI-driven feed “led to an 8% increase in time spent on Facebook and a 6% increase on Instagram” in 2024, which boost ARPU (no longer reported geographically) with more ads (and higher priced ads) served.

Meta stock's ad pricing growth is offsetting weakness in ad impressions growth

Meta's ad pricing growth is offsetting slower growth in ad impressions.

Alphabet Lag AI Stock Peers in Capex

As expected, capex will be a focal point for the Q4 call, as Alphabet will provide more color on FY25’s planned spending. For FY24, capex is expected to increase nearly 60% YoY to just over $51 billion, with Alphabet signaling that 2025 will increase YoY, but “likely not the same percent step-up that we saw between ’23 and ’24.” This opens the door for a wide range of possibilities – Alphabet could scale towards $20 billion per quarter by year-end and boost capex ~40% YoY, or hover around the $15 billion/quarter market, for an increase of less than 20%.

Alphabet has been significantly investing in its custom chips as well as Nvidia GPUs as it believes that it can offer top-notch performance at a fraction of the cost. Alphabet’s investments in its TPU portfolio, augmented by Nvidia GPUs, is helping reduce operating costs for enterprise clients on model training and inference by up to 70%. Gemini has also been a strong growth driver, with Gemini API calls up 14x YoY in Q3, while token volume, consumer usage, and business adoption all saw “dramatic growth.”

Alphabet Stock Seeing Encouraging AI-Driven Growth

Alphabet has benefited from AI tailwinds in both Cloud and Search, with AI helping Cloud growth accelerate to 35% YoY, a nearly 7 point acceleration since the beginning of 2024. Search momentum has been solid with five consecutive quarters of low double-digit growth, as AI Overview now reaches 1 billion people each month.

For Q4, Alphabet is expected to report 11.9% YoY growth to $96.6 billion in revenue, before maintaining growth in the mid to high-11% range through FY25. EPS growth is expected to be choppy; Q4 is projected to see 29.5% growth to $2.12, while Q1 is expected to see just 7.2% growth to $2.03.

Alphabet stock's quarterly revenue growth is expected to hover in the 11% range through Q2 2025

Alphabet’s revenue is expected to hover in the mid to high-11% range from Q4 to Q2.

AI is driving new growth for Search, not just via AI Overviews, with ads now being implemented, but also by increasing engagement and Search usage. Management explained in Q3 that AI Overview is increasing overall Search usage and exploring more websites, creating a growth flywheel that “actually increases over time as people learn to adapt to that new behavior.” Management also mentioned that they “see monetization at approximately the same rate” for AI Overview, with  additional monetization opportunities in ads via new formats and improved ad targeting. 

However, Cloud has been a brighter spot for Alphabet, with revenue growth of 9.7% QoQ and 35% YoY in Q3, its sharpest acceleration in two years. AI has aided Cloud growth, with CEO Sundar Pichai saying AI helped “attract new customers, win larger deals, and drive 30% deeper product adoption with existing customers.” Cloud is also seeing its operating margin improve significantly – the segment reported a 19% operating margin in Q3, up from 11% in Q2, as operating income rose 66% QoQ to $1.95 billion.

Google Cloud revenue growth has reaccelerated to 35%, the highest among these AI stock peers

Google Cloud’s revenue growth reaccelerated to 35% in Q3.

The I/O Fund is also closely analyzing the supply chain to identify overlooked beneficiaries of the AI infrastructure buildout, sharing this information as well as potential buy and sell plans and real time trade alerts with premium members. The I/O Fund recently entered two separate beneficiaries for gains of 23% and 17% since November. Learn more here.herehere.

Amazon Ramps Spending With Significant AI Accelerator Purchases

Amazon CEO Andy Jassy has been straightforward with investors regarding AI demand and capacity – he told investors in Q3 that AWS has “more demand that we could fulfill if we had even more capacity,” and that the “rate of growth there has a chance to improve over time as we have bigger and bigger capacity.”  Amazon quickly scaling capex to $22.6 billion in Q3 (up nearly 30% QoQ)), Jassy’s comments about demand, and Amazon’s GPU purchases and ASICs deployments suggest that AWS’ acceleration can continue with significant AI chip capacity coming online to meet demand.

Data from Omdia shows Amazon was a significant deployer of both Nvidia’s GPUs and custom silicon in 2024, purchasing ~196K Hopper GPUs and deploying a combined 1.3 million Trainium and Inferentia chips (comparable to ~430K Hoppers). Amazon also signaled that it was working on deploying its next-gen Trainium 3 in an Ultracluster featuring hundreds of thousands of chips.

Amazon is expecting to spend $75 billion in capex in 2024, suggesting Q4’s capex comes in around $20 billion, or just over a -10% decline QoQ. However, given that Azure is growing 10 points faster and encroaching on AWS’ leading market share, Amazon may respond to Microsoft’s substantial increase in AI investments in 2025, given that it has the cash and cash flows to support said spending.

Amazon’s AWS Is Now the Core Fundamental Driver

AWS will be in focus not only for its significant AI-driven growth, but also for its status as a primary contributor to topline and bottom line growth. As we discussed in Amazon Stock: Nearing $2 Trillion Club From AWS Growth & Ads Catalyst in May 2024, AWS is one of the core contributors to Amazon’s improved fundamental strength, aiding its push towards a 20% gross margin for the first time in history and boosting the bottom line; e-commerce is no longer the main story fundamentally as AWS is contributing the bulk of operating income and aiding margin expansion.

AWS has recorded five consecutive quarters with accelerating revenue growth, from 12% YoY to 19% YoY, with operating income growth >30% in each quarter (and >50% in the last three). This contribution is the main reason that Amazon is expected to see 77% YoY growth in EPS for FY24, well ahead of the 43% estimated growth from October 2023.

Amazon's AWS revenue growth reaccelerating with strong operating income growth for five quarters

AWS revenue growth has reaccelerated while operating income growth has been >30% for five consecutive quarters.

Amazon Capitalizing On High AI Demand, Holiday Sales

Amazon is expected to continue capitalizing on high demand for AI services on AWS, noting that AI revenue has already reached a multi-billion dollar run rate. Outside of AI, an acceleration in online holiday sales growth (from 5.2% YoY in 2023 to 8.6% YoY in 2024), supports solid e-commerce growth for Amazon.  

For Q4, Amazon had guided for revenue of $181.5 billion to $188.5 billion, yet analysts are expecting a much stronger report – of 45 analysts covering the stock, the lowest estimate for Q4 is $185 billion, with consensus at $187.3 billion, on the upper end of the range.

EPS is expected to rise ~48% YoY to $1.48 in Q4, boosted by strong operating leverage for AWS. Given the significant growth in the first half of 2024, Amazon will face tougher comps come Q2 2025 – EPS growth is forecast to decelerate from 41% in Q1 to 12% in Q2.

Amazon stock's revenue to grow in high 10% range for 2025, lagging other AI stocks

Amazon’s revenue growth is expected to hover in the 10% range for the next few quarters.

Microsoft Leads AI Stocks With Capex 26.6% Higher Than Estimated

Commentary on AI capex will be in full focus, given that Microsoft announced earlier this year that it expects to spend $80 billion on AI data center construction in fiscal 2025, well ahead of estimates for $63.2 billion in capex. CEO Satya Nadella recently said in an interview with Business Insider that Microsoft is now power constrained, not chip constrained, after buying nearly double the amount of Nvidia’s Hopper GPUs as peers in 2024:

"We were definitely constrained in '24. What we have told the Street is that's why we are optimistic about the first half of '25 which is the rest of our fiscal year. And then after that I think we'll be in better shape going into 2026 and so we have good line of sight.”

Another important factor will be the trajectory of AI revenue. Nadella said last quarter that Microsoft is expecting its AI business “to surpass $10 billion of annual revenue run rate in Q2.” Capacity comments suggest that Microsoft has enough GPUs to continue adding billions in sequential growth for AI, while capex comments suggest it is willing to spend much more than anticipated to keep its lead against peers.

Microsoft’s Stock Sees Downward Revisions Despite AI Revenue Growth

The December quarter (fiscal Q2) is expected to be a challenging quarter for Microsoft, as it battles weaker momentum in gaming, device sales, 365 Commercial products and a slight hiccup for Azure’s growth. The quarter is expected to bring the end of Microsoft’s recent acceleration to high-teens revenue growth, with 11% growth forecasted for Q2; however, it’s important to note that this quarter is typically the lowest due to seasonality. Over the long-term, we believe Microsoft’s lead in monetizing AI in the cloud and with both consumers and enterprises may be insurmountable, as we think it has multiple tailwinds to drive $200 billion in Azure revenue by 2028. Read more here.

Despite being a leader in genAI monetization with numerous monetization outlets, Microsoft guided for a soft fiscal Q2, seeing revenue between $68.1 billion and $69.1 billion, below the consensus estimate for $69.8 billion. As a result of the subpar guide and aforementioned challenges, analyst estimates for both revenue and EPS have declined — over the past quarter, EPS estimates have been revised down from $3.23 to $3.13, while revenue estimates were lowered from $69.1 billion to $68.8 billion.

Microsoft stock's revenue growth to slow to 11% in Q2 and reaccelerate to 13.5% by Q4

Microsoft’s revenue growth is expected to accelerate after a soft December quarter.

AI revenue has been a strong point for Microsoft, as it expects to surpass the $10 billion annual run rate mark this quarter, an incredible growth trajectory from zero to $10 billion in ten quarters. AI contributed 12 points to Azure’s growth last quarter, with its estimated run rate exceeding $6 billion. Growth in AI-driven products has also been strong: Azure Arc customers grew 2x YoY to 33,000, >$100M Azure deals rose 80% YoY, GitHub Copilot subscriber growth accelerated to 35% YoY to 1.8 million paying subscribers, and Copilot on Windows became available on 225M PCs, up 2x QoQ.

AI Stocks Benefit as Capex Comes in Higher than Estimated

2024 showed that capex estimates were ultimately too low, with Big Tech on track to spend 15% to 20% more this year for AI infrastructure than initially estimated. This comes despite fears that these giants are spending more than they can generate to make these investments worthwhile.

However, if you look closely enough at the numbers and the commentary from Big Tech’s executives, there is ROI to be seen from the recent surge in AI spending. AI revenue is already reaching the billions, while growing at the fastest pace of any product in these companies’ histories, which is no small feat. We believe that ROI is likely to become more evident this year as products and cloud revenue streams only get larger.

Due to outsized capex spending and minimal AI revenue, Big Tech isn’t the best way to play AI. Our firm was first to Nvidia’s AI thesis in 2018 for gains of over 4,000% for our Members, and we are now entering small-cap and mid-cap AI beneficiaries that we think will dominate AI growth in 2025. Join us in our next webinar on Thursday at 4:30 p.m. Eastern to hear more on how we are positioned to capitalize on the $300 billion that Big Tech is spending on AI.

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.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.

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Credo: AI Networking Company Surging in Revenue from Active Electric Cables (AEC)

Posted on January 23, 2025June 30, 2026 by io-fund

Credo offers active electric cables (AECs), which drove the bulk of the company’s phenomenal beat and raise last quarter. Power consumption will be at the forefront of infrastructure builds as we move into 2025 and beyond. Blackwell alone represents a 300% increase in power consumption across one generation of GPUs. We’ve covered in the past that as GPUs become more powerful in order to support trillion-plus large language models, the result is that AI requires more power consumption with each future generation of AI acceleration.

Although it’s easy to be laser focused on the AI chips driving this revolution, it’s my stance that 2025 will push networking, switches, optical modules and other networking components into the limelight. Networking performance is vital to the investments Big Tech is making, and Blackwell is the first generation of GPUs that truly test (or perhaps break) the upper limit of networking capabilities in terms of necessitating lower power consumption.

Fiber optic networking is superior to copper networking in nearly every way, as it’s 70% market share in networking in the data center clearly demonstrates. Fiber will continue to dominate in the above 7-meter distances as it’s bandwidth, durability, low electromagnetic interference, and transmission distance of up to hundreds of kilometers is unmatched.

In distances below seven meters, fiber optics are being challenged by active copper cables (ACC) and active electric cables (AECs) due to copper offering lower power, reduced costs, and in some cases, are more reliable. For distances between two meters and seven meters (or about six to 24 feet), active electric cables (AECs) are seeing heightened demand as servers scale up to eight GPUs to now 36 GPU to 72 GPU per rack-scale AI system, and also as GPU clusters grow from 10,000-GPU clusters to 100,000-GPU clusters to soon million-GPU clusters.

As AI applications grow increasingly more complex, requiring more advancements in AI cluster architecture, reliable networking solutions is at the forefront as a key facilitator. Credo operates in the outsized-demand environment that is the data infrastructure market. Credo’s relationship with hyperscale and enterprise data center customers as well as service provider networks and original design manufacturers (ODMs) helps to establish the company’s importance.

Demand for new networking architectures is further evidenced by Credo’s knockout earnings report, where the company reported a top line beat of 8% and a neck-breaking beat of 35% on the bottom line. Due to management’s strong forward-looking guidance, analysts have posted 1-month revisions of 70% on the bottom line and 38% on the top line for the upcoming quarter.

Below, we look at whether Credo can sustain this momentum and other key elements to the company’s hypergrowth.

The company’s ability to provide reliable yet cost-effective connectivity solutions make it a market leader candidate in the AI networking facilitators space. Additionally, Credo’s proprietary serializer/deserialzer (Ser/Des) technology, which is the cornerstone of its IP portfolio, gives it a significant competitive advantage as it enables the power-efficient connectivity and reasonable pricing that the company is known for. More so, Credo licenses this IP to the broader market, though this is not as significant a contributor to overall sales as product sales are. Credo’s product offerings are discussed below.

Active Electric Cables (AECs)

Active electric cables solve a critical issue of data loss that occurs with passive cables at longer lengths, especially in 800 Gbps/port environments with lengths longer than two to three meters. By using two re-timers per cable, AECs prevent data loss by creating a cleaner signal.

Active copper cables (ACCs) do not use retimers, rather they use redrivers. However, as data center network architectures look toward replacing fiber optic in some cases for short haul networking, both AEC and ACC are being evaluated.

Here is what was said in the ACC analysis, which solves a similar issue as AEC:

“Originally, the Blackwell B200s were designed to be 120 kilowatts of power. In order to achieve a lower power wattage of 100 kilowatts of power, Nvidia changed the interconnects from optic to copper. According to the Next Platform, these systems will use up to 5,184 copper cables with up to 200GB per SerDes lane with NVLink switches. The article has a link to a picture of the copper cables, which helps to visualize what thousands of cables going into a NVL72 server looks like.

The new Blackwell systems are being designed with copper cables for the short haul of connecting up to 72 GPUs. Copper networking previously had a reach of 1.5 meters, yet this has evolved to where there is now a reach of 3 meters to assist in connecting these large systems.”

AECs with retimers are a more expensive option compared to ACCs due to offering a cleaner signal, yet they have the additional benefit of being vendor agnostic, which is key for data center operators who are looking to upgrade as they add more racks. AECs also use clock data recovery to reduce jitter for higher signal integrity and can effectively reach distances of up to 5-7 meters, making it a solid choice for networking distances beyond 2-3 meters.

Being copper-based, AECs are cheaper than fiber optic even with the cost of the retimer, and AECs consume less power due to having a small diameter. By allowing more air flow, there are fewer issues with thermal management. This is the primary catalyst for AEC growth within the data center. Per management on the earnings call: “AI-driven demand for high-speed, power efficient and reliable connectivity is accelerating. AECs outperform laser-based optics, offering lower power, reduced cost and maybe most importantly, greater reliability.”

Until recently, fiber optic cables and transceivers have represented the bulk of data center and high-performance computing networking as fiber optics reduce packet loss and increase data transmission. However, with more emphasis being placed on power consumption, hyperscalers are looking for alternatives to the increased power consumption from optical signal transmission and conversion.

Due to liquid cooling, data centers are becoming increasingly dense to where servers are stacked closer than before with only air cooling. This allows for new back-end network solutions that were previously not possible due to distance.

Another factor is the Active Electric Cables (AECs) that Credo offers reduce complexity as data centers scale out and add more racks. In active optic cabling (AOCs), if a module fails, there is significant downtime to contend with. This was pointed out recently on the earnings call: “With increasing rack power densities and the shift to liquid cooling, shorter physical lengths for back-end connections are now possible. This enables AECs to displace optics in certain GPU to switch applications. Optical Link Flaps and AI clusters have become increasingly costly, causing significant downtime and loss of productivity for training clusters.”

800-Gig ZeroFlaps AECs:

About three months ago, Credo announced the 800G HiWire ZeroFlap AECs for AI backend networks with the goal of enabling large AI clusters sized into the hundreds of thousands of GPUs. The new AECs are designed to reach 7 meters with full host-to-switch connectivity, and especially designed for liquid cooled servers. According to an independent source, the 800G OSFPs AOCs are particularly troublesome due to physical constraints that cause the connectors to break. There is also link lapse with AOCs, which are “momentary disruptions in network links.” This is what Credo’s new AECs aim to solve.

Retimers:

The company also offers line card retimers, which means the company participates at a higher attach rate per deal by offering both the network cables and retimers. The company stated: “In Q2, our line card retimer business also added to our positive overall momentum. During the quarter, we generated record quarterly revenue driven by 400-gig and 800-gig applications.”

Optical DSPs and PAM4 SerDes Solutions:

Credo offers data transmission hardware, known as serializer/deserializers (SerDes) solutions that convert multiple streams of data into a single stream of data at rates starting at 100gig and up to 1.6 TBps. The cost- and power-effective SerDes solutions based on mature process nodes, are available in chiplets for integrations with systems-on-chips, multi-chip modules.

The founders of Credo come from Marvell, and currently serve as CTO and COO, so it is not surprising that Credo competes with Marvell directly on DSPs. Optical Digital Signal Processors are key component in optical transceivers used in AI clusters, service provider networks and data centers infrastructures.  You can read more about DSP products in our Marvell coverage here and also here. Also similar to Marvell, Credo works with both Ethernet and PCIe networking, which is important as Gartner sees Ethernet adoption rising rapidly for AI networks due to being an open standard, whereas the PCIe-based Infiniband is forecast to stagnant despite being the dominant leader today.

On the optical side, Credo offers 50G, 100G and will soon offer 200G per lane active optic cables (AOCs) and transceivers. The company is focused on lowering power requirements for modules and management expects the 3nm 200-gig per lane designs to make an impact later this year. In the discussions, management highlights the upcoming DSPs at 10 watts and LROs “at half that power.” This keeps Credo competitive with Marvell’s DSPs also currently at 10 watts.

Regarding LROs, we’ve covered linear pluggable optics here, which help to reduce power consumption and costs, while half-retimed linear optics (LRO) help to stabilize signal transmission. Credo was first to release a 800G PAM4 DSP for half-retimed modules with the idea these modules can reduce power by 40% compared to full-DSP modules. These are both in the discovery phase as to what extent they will be used in data centers, but it’s looking likely LPO and LRO-related suppliers will report revenue from LPOs/LROs come H2 2025/H1 2026.

Hyperscaler Customers:

Credo’s major customers are Microsoft and Amazon, with the third being perhaps Oracle or xAI. Here is what was shared on the call: “Yes. So we've talked about really being focused on the U.S. hyperscalers. And we kind of classify companies within that category, including Oracle. And we've also talked about emerging hyperscalers, companies like xAI, companies like Omniva. And so, we've – what we've talked about is we've talked pretty openly about our relationship with Microsoft, our relationship with Amazon.

We haven't been too clear about exactly which is the hyperscaler that represents customer number three, out of the five U.S. hyperscalers. We did mention during our press release during the OCP conference that we've been doing a lot of good work with xAI specifically in the ZeroFlap category. And so, I can say that we're doing well really, with several customers that will be ramping production.”

Management referred to Microsoft being just above 10% which most closely matches Customer B, which would leave Amazon as Customer A below. Management has emphasized the ramps are not linear.

Financials

Revenue

The company reported record revenue across the three main product lines i.e. active electric cables (AECs), Optical DSPs and line card retimers. Credo witnessed an uptick in shipments, which marked the beginning of the revenue inflection point due to strong AI demand.

  • Q2 was a record-breaking quarter for Credo as revenue grew by 63.6% YoY and 20.6% QoQ to $72.03 million.
  • Management expects Q3 revenue to be in the range of $115 million to $125 million, growing 126.2% YoY and 67% QoQ at the midpoint.
  • Analysts expect Q4 revenue to grow 125.2% YoY to $136.89 million and 133.5% YoY to $139.44 million in FQ1.
  • Looking further out, management guided FY25 (Apr) topline growth of 100%+ and double-digit sequential growth from Q3 to Q4.

Credo Segments:

Products

The product segment is comprised of various Credo’s high-speed and power-efficient connectivity hardware solutions tailored to the data infrastructure market, offerings that are growing in prevalence as the rapid deployment of AI applications require more bandwidth.  In Q2, Product sales grew 88% YoY and 21% QoQ to $64.4 million or 89.4% of total sales, driven by record sales from its AEC and optical DSP product lines. Management highlighted it saw strong demand from its top two customers and an emerging hyperscale customer for AEC products, and that it remains highly optimistic about the future of this business as Credo is well-positioned as a market leader when the adoption of this product line becomes more widespread.

Management highlighted in the earnings call that the second half revenue growth will be driven by AEC products and revenue growth will continue beyond FY2025 as the adoption expands the broader data center market.

The company sees long-term growth opportunities for the 50-gig and 100-gig per lane DSP solutions, driven by strong demand and close relationships with its customers. Looking ahead, management is optimistic on the 200-gig per lane solutions and have recently completed the tape-out of the 3-nanometer 200-gig per lane designs, showcasing power efficiency.

The company witnessed record revenue in the line card retimers revenue driven by 400-gig and 800-gig applications.

Products Engineering Services

Accompanying its robust products business is Credo’s engineering services business, which provides services related to its IP licensing agreements and product engineering services as part of its agreement with certain customers to integrate Credo’s technology solutions into customers’ products. In Q2, engineering services sales grew 90% YoY to $4.6 million as Credo saw a 156% increase in time spent on product engineering service arrangements due to increased shipments.

IP Licensing

Credo’s IP business consists mostly of its propriety SerDes and DSPs technologies licensing, which allows for comparable performance as its peers in data transmission but at a much lower cost. The business posted a revenue decline of (-60% YoY) to $3.0 million in Q2 due to fewer contract wins. Notably, management said during its earnings call that “that IP licensing will become a smaller percentage over time. We will continue to treat the business strategically.”

Margins: Management Guides for Strong QoQ Improvement in Operating Margin

Margins have been improving steadily, yet most importantly, the operating margin is expected to swing to GAAP positive and expand from (-20.2%) two quarters ago, and (-11.7%) one quarter ago, with guidance for an operating margin of 11.9% in the upcoming quarter. Due to commentary that adjusted operating expenses will grow “at less than half the rate of revenue from FY2024 to FY2025,” we expect that Credo will continue to see strong operating leverage. Adjusted operating margin is also expanding nicely from (-1.7%) a year ago to 11.5% in the most recent quarter.

The product adjusted gross margin improved by 70 bps sequentially and 940 bps YoY to 62.2% in Q2, driven primarily by increasing scale.

  • Q2 adjusted gross margin was 63.6% compared to 59.9% in the same period last year. Management is targeting a long-term adjusted gross margin in the range of 63% to 65%.
  • Q2 operating margin was (-11.7%) compared to (-20.2%) in the same period last year.
  • Management has guided a strong improvement in the operating margin for the next quarter to 11.9%, primarily driven by operating leverage.
  • Adjusted operating margin was 11.5% in Q2 compared to (-1.7%) in the same period last year.
  • Management is targeting long-term adjusted operating margin of 30% to 35%.
  • Management expects adjusted operating expenses to grow at less than half the rate of revenue from FY 2024 to FY 2025, suggesting strong operating leverage for this fiscal year.
  • Net loss in Q2 was (-$4.2 million) or (-5.9%) of revenue compared to (-$6.6 million) or (-15%) of revenue in the same period last year. Adjusted net income was $12.3 million or 17.0% of revenue compared to $1.2 million or 2.6% in the same period last year.
  • The difference between the GAAP and non-GAAP net income is due to high stock-based compensation. Stock-based compensation was $16.7 million or 23.1% of revenue.

EPS Grows 600% YoY with more Triple Digit Growth Expected

Q2 adjusted EPS grew by 600% YoY to $0.07, driven by substantial operating leverage. Analysts expect EPS to continue to improve, primarily driven by operating leverage as sales growth stands to outpace expense.

  • Analysts expect Q3 adjusted EPS to grow 358.6% YoY to $0.18 and 219% YoY to $0.22 for Q4.
  • Looking ahead, analysts expect the adjusted EPS to grow 467.6% YoY to $0.51 for FY2025 and 96.6% YoY to $1.00 for FY2026.

Cash Flow and Balance Sheet

Credo’s cash flows have been lumpy in the last few quarters, with the company investing in growth due to strong AI demand. The cash flows should improve in the coming quarters as profits increase.

  • Q2 operating cash flow was $10.3 million, or 14.3% of revenue, compared 11.4% in the same period last fiscal year. This is considerably higher than FY 2023’s (-13.4%) margins but lower than FY 2024’s 17.0% margin.
  • Q2 free cash flow was (-$11.7 million), or (-16.2%) of revenue, compared to 6.7% of revenue in the same period last year. This was also considerably higher than FY 2023’s (-25.2%) margin but still lower than FY 2024’s 8.9% margin. CapEx was higher at $21.9 million in Q2 that led to lower free cash flows, was driven largely by production of 5-nanometer tape-outs.
  • The company has a cash and short-term investments of $383 million and no debt as of the end of Q2 FY 2025. During the Q2 earnings call, management highlighted its belief the company remains well-capitalized to continue investing in growth opportunities while maintaining a “substantial” cash buffer.

Valuation:

Credo’s stock continues to build momentum, climbing over 130% in six months (over 300% uptick in one year) benefitting from the global acceleration of AI adoption. On a sales valuation, Credo is trading at 35x Forward P/S compared to Nvidia at 28x Forward P/S and Astera Lab at 32 Forward P/S. These are the highest priced AI-related stocks on the hardware side.

The PE Ratio is high at 158X forward but this is irrelevant as the company will become newly GAAP profitable next quarter and is only recently profitable on an adjusted basis.

Conclusion:

The over-arching investment thesis for a portfolio concentration in AI networking component companies is that AI models are driving an exponential increase in compute requirements, while the scaling of workloads is limited by the existing network. Although GPUs and AI accelerators capture the headlines, as we move into 2025, hyperscalers will become equally as focused (if not more so) on networking capabilities as GPUs and ASICs are reaching the upper limit of what current networking architectures are capable of.

Ushering in the golden age of AI applications requires a cost-effective and technologically advanced connectivity solutions, and Credo is well-positioned to benefit from as a market leader. Though the company’s stock has already experienced exponential growth and current valuation might give some investors pause, there is room for more upside as management believes Q3 marks the beginning of the topline inflection point that Credo has long anticipated to come. As AI clusters advancements necessitate innovations in computing power and cooling technology, network reliability and the need to reduce costs/power has become ever more important.

We are looking at a handful of companies in the area of AI networking, advanced packaging metrology, and direct liquid cooling plus others that collectively fall into the category of AI hardware. Due to being a firm that specializes in Nvidia and AI, you can look forward to a more strategic approach to how we plan to build our portfolio come 2025. Learn more in our Q1 webinar.in our Q1 webinar.

This is a sample of what you can expect in our upcoming Discovery tier, where we will cover a new stock idea every week. We are excited to bring you more coverage from the I/O Fund team that is geared toward new idea generation only. Our ETA for launching this new tier is February 2025.

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:

  • Q1 2025 Webinar with Beth Kindig
  • TSMC Q4 2024 Earnings: Record Profit Led by Robust AI Demand
  • Coherent: Key Nvidia Supplier for Optical Networking Components
  • Semtech: Fiber Optics and Copper (ACC) AI Networking Components
  • Vertiv: AI Data Center and Direct Liquid Cooling Stock; Nvidia Supplier
Posted in AI Stocks, Data CenterLeave a Comment on Credo: AI Networking Company Surging in Revenue from Active Electric Cables (AEC)

Credo: AI Networking Company Surging in Revenue from Active Electric Cables (AEC)

Posted on January 23, 2025June 30, 2026 by io-fund

Credo offers active electric cables (AECs), which drove the bulk of the company’s phenomenal beat and raise last quarter. Power consumption will be at the forefront of infrastructure builds as we move into 2025 and beyond. Blackwell alone represents a 300% increase in power consumption across one generation of GPUs. We’ve covered in the past that as GPUs become more powerful in order to support trillion-plus large language models, the result is that AI requires more power consumption with each future generation of AI acceleration.

Although it’s easy to be laser focused on the AI chips driving this revolution, it’s my stance that 2025 will push networking, switches, optical modules and other networking components into the limelight. Networking performance is vital to the investments Big Tech is making, and Blackwell is the first generation of GPUs that truly test (or perhaps break) the upper limit of networking capabilities in terms of necessitating lower power consumption.

Fiber optic networking is superior to copper networking in nearly every way, as it’s 70% market share in networking in the data center clearly demonstrates. Fiber will continue to dominate in the above 7-meter distances as it’s bandwidth, durability, low electromagnetic interference, and transmission distance of up to hundreds of kilometers is unmatched.

In distances below seven meters, fiber optics are being challenged by active copper cables (ACC) and active electric cables (AECs) due to copper offering lower power, reduced costs, and in some cases, are more reliable. For distances between two meters and seven meters (or about six to 24 feet), active electric cables (AECs) are seeing heightened demand as servers scale up to eight GPUs to now 36 GPU to 72 GPU per rack-scale AI system, and also as GPU clusters grow from 10,000-GPU clusters to 100,000-GPU clusters to soon million-GPU clusters.

As AI applications grow increasingly more complex, requiring more advancements in AI cluster architecture, reliable networking solutions is at the forefront as a key facilitator. Credo operates in the outsized-demand environment that is the data infrastructure market. Credo’s relationship with hyperscale and enterprise data center customers as well as service provider networks and original design manufacturers (ODMs) helps to establish the company’s importance.

Demand for new networking architectures is further evidenced by Credo’s knockout earnings report, where the company reported a top line beat of 8% and a neck-breaking beat of 35% on the bottom line. Due to management’s strong forward-looking guidance, analysts have posted 1-month revisions of 70% on the bottom line and 38% on the top line for the upcoming quarter.

Below, we look at whether Credo can sustain this momentum and other key elements to the company’s hypergrowth.

The company’s ability to provide reliable yet cost-effective connectivity solutions make it a market leader candidate in the AI networking facilitators space. Additionally, Credo’s proprietary serializer/deserialzer (Ser/Des) technology, which is the cornerstone of its IP portfolio, gives it a significant competitive advantage as it enables the power-efficient connectivity and reasonable pricing that the company is known for. More so, Credo licenses this IP to the broader market, though this is not as significant a contributor to overall sales as product sales are. Credo’s product offerings are discussed below.

Active Electric Cables (AECs)

Active electric cables solve a critical issue of data loss that occurs with passive cables at longer lengths, especially in 800 Gbps/port environments with lengths longer than two to three meters. By using two re-timers per cable, AECs prevent data loss by creating a cleaner signal.

Active copper cables (ACCs) do not use retimers, rather they use redrivers. However, as data center network architectures look toward replacing fiber optic in some cases for short haul networking, both AEC and ACC are being evaluated.

Here is what was said in the ACC analysis, which solves a similar issue as AEC:

“Originally, the Blackwell B200s were designed to be 120 kilowatts of power. In order to achieve a lower power wattage of 100 kilowatts of power, Nvidia changed the interconnects from optic to copper. According to the Next Platform, these systems will use up to 5,184 copper cables with up to 200GB per SerDes lane with NVLink switches. The article has a link to a picture of the copper cables, which helps to visualize what thousands of cables going into a NVL72 server looks like.

The new Blackwell systems are being designed with copper cables for the short haul of connecting up to 72 GPUs. Copper networking previously had a reach of 1.5 meters, yet this has evolved to where there is now a reach of 3 meters to assist in connecting these large systems.”

AECs with retimers are a more expensive option compared to ACCs due to offering a cleaner signal, yet they have the additional benefit of being vendor agnostic, which is key for data center operators who are looking to upgrade as they add more racks. AECs also use clock data recovery to reduce jitter for higher signal integrity and can effectively reach distances of up to 5-7 meters, making it a solid choice for networking distances beyond 2-3 meters.

Being copper-based, AECs are cheaper than fiber optic even with the cost of the retimer, and AECs consume less power due to having a small diameter. By allowing more air flow, there are fewer issues with thermal management. This is the primary catalyst for AEC growth within the data center. Per management on the earnings call: “AI-driven demand for high-speed, power efficient and reliable connectivity is accelerating. AECs outperform laser-based optics, offering lower power, reduced cost and maybe most importantly, greater reliability.”

Until recently, fiber optic cables and transceivers have represented the bulk of data center and high-performance computing networking as fiber optics reduce packet loss and increase data transmission. However, with more emphasis being placed on power consumption, hyperscalers are looking for alternatives to the increased power consumption from optical signal transmission and conversion.

Due to liquid cooling, data centers are becoming increasingly dense to where servers are stacked closer than before with only air cooling. This allows for new back-end network solutions that were previously not possible due to distance.

Another factor is the Active Electric Cables (AECs) that Credo offers reduce complexity as data centers scale out and add more racks. In active optic cabling (AOCs), if a module fails, there is significant downtime to contend with. This was pointed out recently on the earnings call: “With increasing rack power densities and the shift to liquid cooling, shorter physical lengths for back-end connections are now possible. This enables AECs to displace optics in certain GPU to switch applications. Optical Link Flaps and AI clusters have become increasingly costly, causing significant downtime and loss of productivity for training clusters.”

800-Gig ZeroFlaps AECs:

About three months ago, Credo announced the 800G HiWire ZeroFlap AECs for AI backend networks with the goal of enabling large AI clusters sized into the hundreds of thousands of GPUs. The new AECs are designed to reach 7 meters with full host-to-switch connectivity, and especially designed for liquid cooled servers. According to an independent source, the 800G OSFPs AOCs are particularly troublesome due to physical constraints that cause the connectors to break. There is also link lapse with AOCs, which are “momentary disruptions in network links.” This is what Credo’s new AECs aim to solve.

Retimers:

The company also offers line card retimers, which means the company participates at a higher attach rate per deal by offering both the network cables and retimers. The company stated: “In Q2, our line card retimer business also added to our positive overall momentum. During the quarter, we generated record quarterly revenue driven by 400-gig and 800-gig applications.”

Optical DSPs and PAM4 SerDes Solutions:

Credo offers data transmission hardware, known as serializer/deserializers (SerDes) solutions that convert multiple streams of data into a single stream of data at rates starting at 100gig and up to 1.6 TBps. The cost- and power-effective SerDes solutions based on mature process nodes, are available in chiplets for integrations with systems-on-chips, multi-chip modules.

The founders of Credo come from Marvell, and currently serve as CTO and COO, so it is not surprising that Credo competes with Marvell directly on DSPs. Optical Digital Signal Processors are key component in optical transceivers used in AI clusters, service provider networks and data centers infrastructures.  You can read more about DSP products in our Marvell coverage here and also here. Also similar to Marvell, Credo works with both Ethernet and PCIe networking, which is important as Gartner sees Ethernet adoption rising rapidly for AI networks due to being an open standard, whereas the PCIe-based Infiniband is forecast to stagnant despite being the dominant leader today.

On the optical side, Credo offers 50G, 100G and will soon offer 200G per lane active optic cables (AOCs) and transceivers. The company is focused on lowering power requirements for modules and management expects the 3nm 200-gig per lane designs to make an impact later this year. In the discussions, management highlights the upcoming DSPs at 10 watts and LROs “at half that power.” This keeps Credo competitive with Marvell’s DSPs also currently at 10 watts.

Regarding LROs, we’ve covered linear pluggable optics here, which help to reduce power consumption and costs, while half-retimed linear optics (LRO) help to stabilize signal transmission. Credo was first to release a 800G PAM4 DSP for half-retimed modules with the idea these modules can reduce power by 40% compared to full-DSP modules. These are both in the discovery phase as to what extent they will be used in data centers, but it’s looking likely LPO and LRO-related suppliers will report revenue from LPOs/LROs come H2 2025/H1 2026.

Hyperscaler Customers:

Credo’s major customers are Microsoft and Amazon, with the third being perhaps Oracle or xAI. Here is what was shared on the call: “Yes. So we've talked about really being focused on the U.S. hyperscalers. And we kind of classify companies within that category, including Oracle. And we've also talked about emerging hyperscalers, companies like xAI, companies like Omniva. And so, we've – what we've talked about is we've talked pretty openly about our relationship with Microsoft, our relationship with Amazon.

We haven't been too clear about exactly which is the hyperscaler that represents customer number three, out of the five U.S. hyperscalers. We did mention during our press release during the OCP conference that we've been doing a lot of good work with xAI specifically in the ZeroFlap category. And so, I can say that we're doing well really, with several customers that will be ramping production.”

Management referred to Microsoft being just above 10% which most closely matches Customer B, which would leave Amazon as Customer A below. Management has emphasized the ramps are not linear.

Financials

Revenue

The company reported record revenue across the three main product lines i.e. active electric cables (AECs), Optical DSPs and line card retimers. Credo witnessed an uptick in shipments, which marked the beginning of the revenue inflection point due to strong AI demand.

  • Q2 was a record-breaking quarter for Credo as revenue grew by 63.6% YoY and 20.6% QoQ to $72.03 million.
  • Management expects Q3 revenue to be in the range of $115 million to $125 million, growing 126.2% YoY and 67% QoQ at the midpoint.
  • Analysts expect Q4 revenue to grow 125.2% YoY to $136.89 million and 133.5% YoY to $139.44 million in FQ1.
  • Looking further out, management guided FY25 (Apr) topline growth of 100%+ and double-digit sequential growth from Q3 to Q4.

Credo Segments:

Products

The product segment is comprised of various Credo’s high-speed and power-efficient connectivity hardware solutions tailored to the data infrastructure market, offerings that are growing in prevalence as the rapid deployment of AI applications require more bandwidth.  In Q2, Product sales grew 88% YoY and 21% QoQ to $64.4 million or 89.4% of total sales, driven by record sales from its AEC and optical DSP product lines. Management highlighted it saw strong demand from its top two customers and an emerging hyperscale customer for AEC products, and that it remains highly optimistic about the future of this business as Credo is well-positioned as a market leader when the adoption of this product line becomes more widespread.

Management highlighted in the earnings call that the second half revenue growth will be driven by AEC products and revenue growth will continue beyond FY2025 as the adoption expands the broader data center market.

The company sees long-term growth opportunities for the 50-gig and 100-gig per lane DSP solutions, driven by strong demand and close relationships with its customers. Looking ahead, management is optimistic on the 200-gig per lane solutions and have recently completed the tape-out of the 3-nanometer 200-gig per lane designs, showcasing power efficiency.

The company witnessed record revenue in the line card retimers revenue driven by 400-gig and 800-gig applications.

Products Engineering Services

Accompanying its robust products business is Credo’s engineering services business, which provides services related to its IP licensing agreements and product engineering services as part of its agreement with certain customers to integrate Credo’s technology solutions into customers’ products. In Q2, engineering services sales grew 90% YoY to $4.6 million as Credo saw a 156% increase in time spent on product engineering service arrangements due to increased shipments.

IP Licensing

Credo’s IP business consists mostly of its propriety SerDes and DSPs technologies licensing, which allows for comparable performance as its peers in data transmission but at a much lower cost. The business posted a revenue decline of (-60% YoY) to $3.0 million in Q2 due to fewer contract wins. Notably, management said during its earnings call that “that IP licensing will become a smaller percentage over time. We will continue to treat the business strategically.”

Margins: Management Guides for Strong QoQ Improvement in Operating Margin

Margins have been improving steadily, yet most importantly, the operating margin is expected to swing to GAAP positive and expand from (-20.2%) two quarters ago, and (-11.7%) one quarter ago, with guidance for an operating margin of 11.9% in the upcoming quarter. Due to commentary that adjusted operating expenses will grow “at less than half the rate of revenue from FY2024 to FY2025,” we expect that Credo will continue to see strong operating leverage. Adjusted operating margin is also expanding nicely from (-1.7%) a year ago to 11.5% in the most recent quarter.

The product adjusted gross margin improved by 70 bps sequentially and 940 bps YoY to 62.2% in Q2, driven primarily by increasing scale.

  • Q2 adjusted gross margin was 63.6% compared to 59.9% in the same period last year. Management is targeting a long-term adjusted gross margin in the range of 63% to 65%.
  • Q2 operating margin was (-11.7%) compared to (-20.2%) in the same period last year.
  • Management has guided a strong improvement in the operating margin for the next quarter to 11.9%, primarily driven by operating leverage.
  • Adjusted operating margin was 11.5% in Q2 compared to (-1.7%) in the same period last year.
  • Management is targeting long-term adjusted operating margin of 30% to 35%.
  • Management expects adjusted operating expenses to grow at less than half the rate of revenue from FY 2024 to FY 2025, suggesting strong operating leverage for this fiscal year.
  • Net loss in Q2 was (-$4.2 million) or (-5.9%) of revenue compared to (-$6.6 million) or (-15%) of revenue in the same period last year. Adjusted net income was $12.3 million or 17.0% of revenue compared to $1.2 million or 2.6% in the same period last year.
  • The difference between the GAAP and non-GAAP net income is due to high stock-based compensation. Stock-based compensation was $16.7 million or 23.1% of revenue.

EPS Grows 600% YoY with more Triple Digit Growth Expected

Q2 adjusted EPS grew by 600% YoY to $0.07, driven by substantial operating leverage. Analysts expect EPS to continue to improve, primarily driven by operating leverage as sales growth stands to outpace expense.

  • Analysts expect Q3 adjusted EPS to grow 358.6% YoY to $0.18 and 219% YoY to $0.22 for Q4.
  • Looking ahead, analysts expect the adjusted EPS to grow 467.6% YoY to $0.51 for FY2025 and 96.6% YoY to $1.00 for FY2026.

Cash Flow and Balance Sheet

Credo’s cash flows have been lumpy in the last few quarters, with the company investing in growth due to strong AI demand. The cash flows should improve in the coming quarters as profits increase.

  • Q2 operating cash flow was $10.3 million, or 14.3% of revenue, compared 11.4% in the same period last fiscal year. This is considerably higher than FY 2023’s (-13.4%) margins but lower than FY 2024’s 17.0% margin.
  • Q2 free cash flow was (-$11.7 million), or (-16.2%) of revenue, compared to 6.7% of revenue in the same period last year. This was also considerably higher than FY 2023’s (-25.2%) margin but still lower than FY 2024’s 8.9% margin. CapEx was higher at $21.9 million in Q2 that led to lower free cash flows, was driven largely by production of 5-nanometer tape-outs.
  • The company has a cash and short-term investments of $383 million and no debt as of the end of Q2 FY 2025. During the Q2 earnings call, management highlighted its belief the company remains well-capitalized to continue investing in growth opportunities while maintaining a “substantial” cash buffer.

Valuation:

Credo’s stock continues to build momentum, climbing over 130% in six months (over 300% uptick in one year) benefitting from the global acceleration of AI adoption. On a sales valuation, Credo is trading at 35x Forward P/S compared to Nvidia at 28x Forward P/S and Astera Lab at 32 Forward P/S. These are the highest priced AI-related stocks on the hardware side.

The PE Ratio is high at 158X forward but this is irrelevant as the company will become newly GAAP profitable next quarter and is only recently profitable on an adjusted basis.

Conclusion:

The over-arching investment thesis for a portfolio concentration in AI networking component companies is that AI models are driving an exponential increase in compute requirements, while the scaling of workloads is limited by the existing network. Although GPUs and AI accelerators capture the headlines, as we move into 2025, hyperscalers will become equally as focused (if not more so) on networking capabilities as GPUs and ASICs are reaching the upper limit of what current networking architectures are capable of.

Ushering in the golden age of AI applications requires a cost-effective and technologically advanced connectivity solutions, and Credo is well-positioned to benefit from as a market leader. Though the company’s stock has already experienced exponential growth and current valuation might give some investors pause, there is room for more upside as management believes Q3 marks the beginning of the topline inflection point that Credo has long anticipated to come. As AI clusters advancements necessitate innovations in computing power and cooling technology, network reliability and the need to reduce costs/power has become ever more important.

We are looking at a handful of companies in the area of AI networking, advanced packaging metrology, and direct liquid cooling plus others that collectively fall into the category of AI hardware. Due to being a firm that specializes in Nvidia and AI, you can look forward to a more strategic approach to how we plan to build our portfolio come 2025. Learn more in our Q1 webinar.in our Q1 webinar.

This is a sample of what you can expect in our upcoming Discovery tier, where we will cover a new stock idea every week. We are excited to bring you more coverage from the I/O Fund team that is geared toward new idea generation only. Our ETA for launching this new tier is February 2025.

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:

  • Q1 2025 Webinar with Beth Kindig
  • TSMC Q4 2024 Earnings: Record Profit Led by Robust AI Demand
  • Coherent: Key Nvidia Supplier for Optical Networking Components
  • Semtech: Fiber Optics and Copper (ACC) AI Networking Components
  • Vertiv: AI Data Center and Direct Liquid Cooling Stock; Nvidia Supplier
Posted in AI Stocks, Data CenterLeave a Comment on Credo: AI Networking Company Surging in Revenue from Active Electric Cables (AEC)

Five Top Tech Stocks Of 2024: Year In Review

Posted on January 6, 2025June 30, 2026 by io-fund
Five Top Tech Stocks Of 2024: Year In Review

This article was originally published on Forbes on Jan 1, 2025,06:21pm ESTForbes Forbes on Jan 1, 2025,06:21pm EST

The Nasdaq 100 is capping off 2024 with a return of 27.0%, building upon 2023’s 53.8% return (its best year since 1999). Since the start of 2023, the Nasdaq 100 has nearly doubled with stellar returns of 95.3%, its second highest two year performance since 1998 and 1999’s 274.2% rise.

This year, the Nasdaq had countless winners and strong repeat performances from AI leaders like Nvidia, but 5 stocks took the market by surprise with significant outperformance relative to the broader indices. I think it’s important to pause and draw some parallels around the stocks that performed well in 2024 to form an opinion on what might perform well in 2025, as many of the year’s top performers shared similar fundamental improvements or had similar thematic tailwinds such as AI, nuclear and quantum computing.

Below, I review five of the top stocks of 2024, selected based on their price action, fundamentals and presence withing leading tech themes. Choosing a top 5 means many great stocks were left off this list, yet this sample helps to form conclusions around how 2024 shaped up versus years past, centered around leading, core thematic opportunities.

Read about our Top 5 Stocks from 2023 here and our Top 5 Stocks from 2022 here – many of which went on to lead the following years.here and our Top 5 Stocks from 2022 here – many of which went on to lead the following years.

AppLovin (APP)

AppLovin was one of the Nasdaq’s best performers, up 735%and joining the Nasdaq 100 on a special rebalance in November. From the start of 2024, AppLovin rose from a mere $13 billion valuation to $111 billion, peaking above $135 billion in early December – the stock has done the unthinkable this year, awakening a low-growth mobile gaming ads industry with an AI engine that is showing demonstrable results.

This meteoric rise stems from APP’s AXON 2.0 AI advertising engine, which has driven significant revenue acceleration and massive fundamental improvements to margins and cash flow. AppLovin has reported four consecutive quarters with revenue growth above 30% YoY, a major acceleration from late 2022 and late 2023 where three of four quarters saw declining revenues. Management expressed confidence in maintaining 20% to 30% YoY growth for the foreseeable future due to the efficiencies of AXON’s self-learning and catalysts from web-based e-commerce expansion.

Total Revenue Growth YoY % chart

AppLovin has reported four consecutive quarters with revenue growth above 30% YoY, a major acceleration from late 2022 and late 2023. Source: I/O Fund

Not only has revenue accelerated substantially, but AppLovin’s margins have more than doubled further down the income statement. GAAP gross margin expanded more than 8 points to 77.5% in Q3, while operating margin rose more than 13 points to 44.6%. Taking a look annually, AppLovin is on track to potentially double its operating margin to ~38% from 19.7% in FY23. Additionally, net margin nearly tripled to 36% in Q3 on a GAAP basis, up from 13% a year ago. EPS rose 317% YoY to $1.25, with YTD EPS reaching $2.81, up 462% YoY.

Operating Margins % chart

AppLovin is on track to potentially double its operating margin to ~38% from 19.7% in FY23. Source: I/O Fund

AppLovin’s near-flawless execution has also translated to strong cash flow generation, with operating cash flow margin doubling, rising from 23% a year ago to 46% in Q3. Free cash flow margin followed, reaching 45.5%, up from 22% a year ago.

This kind of operating leverage while maintaining revenue growth rates in the 30% range is quite rare indeed, separating AppLovin from a majority of its ad-tech and software peers. Analysts are excited to see what the company’s expansion to e-commerce can contribute to growth and a path to $6+ in EPS next year from AppLovin’s very strong margin profile.

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

Palantir (PLTR)

Palantir joins this Top 5 list for a second-year running, with shares rising 356%. My firm’s free stock newsletter previously pointed out that Palantir was “one of the rare few that sees AI drive both real returns for its business and real value for its customers,” as it continues to crush its software competitors in AI-related growth. Palantir’s Artificial Intelligence Platform (AIP) has driven a significant revenue re-acceleration following its launch, with profitability also expanding – a rare combination for growth software stocks.

Palantir has capitalized on the AI software opportunity at hand via AIP’s unique value proposition, its scalability and versatility. November and December’s partnership announcements alone help demonstrate the versatility of Palantir’s platform, spanning numerous different industries from autonomous drone navigation to AI models for defense tech to more government program wins. Palantir benefits from the best of both worlds in both government contracts and AI exposure, as enterprise adoption of AI builds.

For a deeper look at AIP and how it has been transforming Palantir and driving revenue growth higher, read This Stock Is Crushing Salesforce, MongoDB And Snowflake In AI Revenue.This Stock Is Crushing Salesforce, MongoDB And Snowflake In AI Revenue.

Palantir’s 2024 was characterized by strong underlying AI momentum, with Q3 seeing revenue growth reach 30%, more than 10 points faster than when it entered the year and nearly 5 points above guidance for 25.2% growth. AIP has aided this revenue acceleration story by driving significant growth in Palantir’s US commercial segment, with the past two quarters seeing growth there above 50% YoY.

Palantir Quarterly Revenue Growth YoY chart

Palantir’s 2024 was characterized by strong underlying AI momentum, with Q3 seeing revenue growth reach 30%, more than 10 points faster than when it entered the year. Source: I/O Fund

Similar to AppLovin, these AI growth tailwinds are not just driving revenue, but also aiding operating margin expansion and EPS growth. GAAP operating margin was 16% for the second quarter in a row, up 9 points from last year, while adjusted operating margin is approaching 40% and has been >30% for four quarters in a row. Cash flow margins have been strong — operating cash flow was nearly $420 million, or a 58% margin, while adjusted free cash flow was $435 million, a 60% margin in Q3, up from the low-20% range in the first half of 2024. Palantir is targeting adjusted FCF of $1 billion-plus this year, or ~36% of revenue.

Fundamentally, to have revenue growth around 30%, free cash flow margin of 30%, and adjusted operating margin nearing 40% is impressive, to say the least. Palantir’s returns this year reflect that fundamental strength from AI-driven growth as well as optimism about its AI growth prospects for next year.

IonQ (IONQ)

Quantum computing stocks have been on a tear to end the year, with a handful of names seeing returns of more than 2,000% over the past three months. IonQ has risen 244% on surging enthusiasm for the quantum computing sector and revenue reaccelerating 40 percentage points over the past three quarters.

IonQ reported $12.4 million in revenue in Q3, with revenue growth of 102% YoY, following on 106% YoY growth in Q2. This has accelerated 42 points from 60% YoY growth in Q4, as IonQ is starting to quickly scale revenues as it has been consistently delivering on its technical roadmap ahead of schedule. IonQ also slightly raised its full year revenue guidance to $40.5 million at midpoint, for growth of 84% YoY.

As it is still in its scaling phase, IonQ is by no means profitable or close to profitability, with analysts not expecting the quantum computing firm to break into profitability until well after 2027. However, revenue is currently expected to grow at a ~95% CAGR through 2027, from $22 million last year to an estimated $315 million.

IonQ Annual Revenue Estimates ($M) chart

IonQ's revenue is currently expected to grow at a ~95% CAGR through 2027, from $22 million last year to an estimated $315 million. Source: I/O Fund

This positioning in a leading theme among investors in the second half of 2024, as well as consistent execution ahead of schedule with revenue growth forecast to rise at a nearly triple digit CAGR through 2027 has landed IonQ a spot on this list.

Reddit (RDDT)

Despite not even trading for the entire year with its IPO in March, Reddit has returned a remarkable 224% from its first day close of $50.44. The social media and online community platform reported a blowout beat and raise in Q3, with investors eyeing some AI training data opportunities ($60M/year deal with Google) on top of strong advertising growth.

Q3 revenue rose 68% YoY to $348 million, a 14 point acceleration from 54% YoY growth in Q2 and up 20 points from 48% YoY growth in Q1. Advertising revenue growth accelerated 15 points sequentially, rising 56% YoY to $315 million. Q4’s guide for $385 million to $400 million in revenue came in well above the $361 million consensus estimate, pointing to growth of 57% YoY. The market is expecting another blowout in Q4, with analysts already projecting $403 million in revenue, above the high end of management’s guided range.

Revenue Growth chart

Reddit's Q3 revenue rose 68% YoY to $348 million, a 14 point acceleration from 54% YoY growth in Q2 and up 20 points from 48% YoY growth in Q1. Source: I/O Fund

Reddit is demonstrating significant operating leverage, as it surprised the Street by reporting GAAP net income in the high single-digit percents in the quarter. GAAP operating expenses rose 53% YoY, less than that 68% YoY revenue growth, pushing GAAP operating margin to 8.6%, up from (3.4%) a year ago and (3.7%) in Q2.

Cash flow generation has improved, with Reddit generating $71.6 million in operating cash flow and $70.3 million in free cash flow in Q3, or margins of ~20%. This doubled from ~10% cash flow margins in Q2. Adjusted EBITDA has increased more than 9x from the start of the year, at $94.4 million in Q3, a 27% margin, up from just $10.0 million in Q1.

Reddit excites the market due to its fundamentals — a 90% gross margin business quickly shifting to GAAP profitability on rapid quarterly revenue growth. This combination hints at potentially strong EPS growth, should it scale from the single-digit net margin range of 8.6% in Q3, to the double-digit range in short time.

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.

Astera Labs (ALAB)

Though Nvidia arguably deserves a spot on this Top 5 list with a 114% gain following Hopper’s breakout 2023, with data center revenue continuing to beat estimates by $1 billion each quarter, I think it’s time to highlight an Nvidia supplier and ASICs beneficiary – Astera Labs. Astera returned 179% in Q4 for a total YTD gain of 128%, with the company showing multiple growth opportunities and a push for profitability despite still solidly being in its hypergrowth phase.

Astera is a major supplier to Nvidia’s PCIe-enabled GPUs with PCIe5 retimers and components, and its upcoming Scorpio fabric switches built on its lead in PCIe5. Management expects the new product to “exceed 10% of revenues in 2025” with “good momentum going into 2026” as it unlocks a $12 billion TAM by 2028.

Astera reported record revenue of $113.1 million in Q3, up 47% QoQ and 206% YoY, beating estimates by 16.1%. Management guided for $126 million to $130 million in revenue in Q4, well ahead of the $108 million consensus estimate and representing YoY growth of 153%, its fifth consecutive triple-digit growth rate.

Revenue YoY chart

Astera Labs reported 206% YoY revenue growth in Q3 and guided for 153% YoY growth in Q4, its fifth consecutive quarter of triple-digit growth. Source: I/O Fund

Even with revenue growth expected to be triple-digits for at least the next two quarters, management forecast for GAAP net income in Q4, though at a razor thin margin. GAAP operating margin is moving towards positive territory, from (7.9%) in Q3 to (4.3%) at midpoint of Q4’s guide. Adjusted operating margin expanded significantly to above 32% in Q3, up from 2% a year ago, while adjusted net margin improved 35.6% compared to (-1.1%) last year.

Astera was one of a handful of AI-exposed semiconductors to see dazzling returns this year, as AI semiconductors remained investor favorites throughout the year. Astera also shared key similarities to the rest of this list: adjusted margins showing strong expansion, high cash flow margins (56% operating cash flow margin in Q3), and AI-related rapid revenue growth.

For a more detailed look at Astera’s product lines, Blackwell and ASICs opportunities and its AI-driven TAM growth, read more here.here.

Conclusion

If there’s one major takeaway from this selection of 2024’s top tech stocks, it’s that being at the top comes with quite the price tag and premium. All five of these stocks trade at quite high multiples, headlined by IonQ at 230x forward revenue and Palantir at a 2021-esque 63x forward revenue and 32x 2027 revenue. Astera Labs trades at 53x forward revenue, while AppLovin and Reddit are not quite as high, at 24x and 22x respectively. However, these revenue multiples are all 130% to 500% higher than they were six months ago, highlighting just how quickly these five have gotten more expensive as they’ve rallied.

Astera, Reddit, AppLovin, IonQ, Palantir Chart

All five of these stocks trade at quite high multiples, headlined by IonQ at 230x forward revenue and Palantir at a 2021-esque 63x forward revenue and 32x 2027 revenue. Source: YChartsYCharts

Looking back at 2024 can be important as it often provides clues for tech investors as the new year begins. Winners have kept winning, from Nvidia to the five discussed here, and that is one reason I like to reflect on the clear winners from the previous year. These five stocks above highlighted similarities among winning tech stocks in 2024 – presence and prevalence in leading themes such as AI and quantum computing, strong revenue acceleration (and rapid growth), and operating leverage driving margin expansion.

For 2025, the I/O Fund has worked to identify key Nvidia suppliers with Blackwell on deck to ramp significantly, sharing this research and buy zones with premium members. Stay tuned for our upcoming 2025 and Q1 webinars to hear more about what the I/O Fund expects for the new year. 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 Fund’s positions. We then share that information with our readers. This is not a guarantee of a stock’s performance. Please consult your personal financial advisor before buying any stock in the companies mentioned in this analysis.

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Posted in AI Stocks, Broad Market Today, Consumer Tech, Tech Stock News, Tech Stocks, Tech StocksLeave a Comment on Five Top Tech Stocks Of 2024: Year In Review

Lumentum FQ1 Update: Strong Contender in AI Optical Networking

Posted on January 3, 2025June 30, 2026 by io-fund

The I/O Fund has been looking closely at the networking stack to position for 2025 due to the increased demand from the expanding role that optical networking will play in artificial intelligence clusters.

Lumentum is a strong candidate within the networking stack as the company supplies components for datacom transceivers and optical interconnects. We recently covered a close competitor Coherent, who is quite similar in terms of its products. As discussed in the Coherent writeup, transceivers and optical interconnects convert electrical signals into optical signals for fiber optic networks within the data center. Traditionally, optical links have been used for compute and storage servers, yet AI/ML servers are driving an increase in demand.

AI models are driving an exponential increase in compute requirements, meanwhile the scaling of workloads is limited by the existing network. Although GPUs and AI accelerators capture the headlines, as we move into 2025, hyperscalers will become equally as focused (if not more so) on networking capabilities as GPUs and ASICs are reaching the upper limit of what networking components and interconnects are capable of.

In response, transceiver speeds have been increasing, as traditionally, the highest data rates ranged from 100G to 200G to 400G. AI servers are driving a market for 800G data rates, which are shipping in production now, and 1.6T rates, which are shipping in 2025. These interconnects help to meet demand for high-speed, low-power data transmission in data centers. Over the coming year, a transition to 200G lane speeds for 800G and 1.6T single-mode optics and InP (indium phosphide) laser transmitters will cause some of these little-known suppliers to reach a critical inflection point in revenue, margins and cash.

The high-speed optical transceiver market is expected to grow at a 30% CAGR to exceed $10B between now and 2028. Notably, discussions from Lumentum’s management team points toward a more noticeable inflection in the second half of 2025 due to EML-related products being capacity constrained, yet we think it’s prudent to start tracking these companies now in an effort to be early. 

Optical Networking Components for 800G and 1.6T Transceiver Applications:

Lumentum’s cloud and networking segment inflected in the September quarter with 11% QoQ growth and more sequential growth expected in the December quarter. This was driven by silicon-based optical and photonic products, such as lasers, optical and datacom transceivers, and 400G and 800G optical modules.

About a year ago, Lumentum acquired a company called Cloud Light for its 800G transceivers. At time of acquisition, over half of Cloud Light’s $200M in revenue was from 800G modules, resulting in a doubling of Lumentum’s cloud data center infrastructure revenue.

The acquisition allowed Lumentum to add Cloud Light’s SR transceiver to the 100G VSCELs to potentially supply 800G transceivers to Nvidia. Following the acquisition, Lumentum is expected to become a supplier to Nvidia in early 2025 pending a qualification process with the Thailand facility.

An analyst pointed out the growth in the AI-related segment is forecast to be about 20% QoQ, from $282.3 million this quarter with an additional $55 million in sequential growth guided. The CEO stated it was from a mix of datacom chips and datacom modules although datacom chips will see bigger growth in the coming quarters: “I'd say Datacom chip growth is not a lot until the next couple of quarters because the capacity comes in increments in chunks.”

200G EML Datacom Transceivers:

Transceiver technologies that Lumentum provides include VSCELs, CW lasers for silicon photonics and EML-based lasers. Of these, the 200G EMLs are what is expected to drive the H2 2025 inflection. Management stated in the August earnings call that the 200G lane speeds in the 1.6T optical transceivers “play to our strengths” and that “we anticipate being a key laser supplier in initial 1.6T transceiver deployments as we ramp up 200G EMLs later this fiscal year.”

Electro-absorption modulated lasers (EMLs) enable 200G per lane transmission, which is enabling the 1.6TBps data rates for AI servers. As pointed out in last week’s analysis, EMLs were traditionally used by telecom customers, yet became attractive for AI servers due to meeting the 200G per second speeds necessary for 1.6T optical modules to support AI models. These are called single mode optics, made of Indium Phosphide, which has been used instead of silicon for long-haul networking due being a superior choice for optical functions, such as enabling the laser, modulator, photodetector and amplifier. InP is more expensive at the component level as four EMLs are needed compared to two lower-cost CW lasers for silicon photonics modules, yet this difference at the component level can be made up for in data centers as InP reduces power consumption.

Lumentum is already a lead supplier for 100G EML transceivers, and is setting up to be in pole position for the 200G EML transceivers. Per the November earnings call: “our 100G EMLs are currently shipping in high volumes to a wide range of optical transceiver suppliers for use in leading edge single-mode 400G and more importantly, 800G optical transceivers. These customers are now designing our 200G EMLs into their next generation of transceivers, positioning us well for the upcoming transition to 200G per lane.”

200G per Lane to Ramp in 2025

Management is optimistic in capturing the transition to 200G lane speeds that is expected to drive the importance of single-mode optics and indium phosphide laser transmitters. The company’s indium phosphide 100G EMLs (Externally-Modulated Lasers) are being shipped and used in leading single-mode 400G and 800G optical transceivers. These customers are now designing the company’s 200G EMLs into their next generation of transceivers.

Management provided a few clues as to when to expect an impact in their revenue growth from the 200G per lane datacom transceivers. For the upcoming quarter, datacom transceiver shipments are expected to increase QoQ and will continue to grow throughout the calendar year 2025. 

Regarding the timing, it was stated: “And so we're going to participate at the component level, as I talked about in the script, with our 200-gig EMLs and that ramps really more towards the summer of next year. But we're in the qualification stages today and have received volume orders today as our capacity is quite constrained. But I'd say that by the end of next calendar year, 1.6T should be ramping in a significant way.”

There was some talk about pricing power on EMLs, with management stating: “I think that we're justified in looking at price optimization on EMLs is one area that we are looking at and have implemented some strategic pricing for those products.”

EML Fully Subscribed in 2025:

In the August earnings call, it was stated the Indium Phosphide capacity is fully subscribed “to at least the end of calendar 2025. And therefore, we can only meet this demand by growing capacity.”

To increase capacity, the company is investing in wafer fab facilities, with $43 million spent in FQ4. In Q1, $74 million was invested in Capex “primarily driven by investments in high-speed transceiver capacity additions at our Thailand manufacturing site as well as indium phosphide wafer production capacity.”

Due to strong demand, the company is working to increase the EML production capacity by 40% in Q4 FY2025 compared to the same period last year, and then implied higher capacity growth the following year (beginning in June) – reference Q&A transcript below.

The company’s Datacom transceiver capacity expansion in Thailand is progressing well. The first production line is operational and management expects to complete additional phases in the next 18 months to meet the strong demand. These expansions are part of the company’s plan to expand facilities outside China.

Future Transceiver Technologies:

Looking further out into 2026, Lumentum is working on higher speed optical links, including 400G per lane, and new architectures, such as co-packaged optics requiring ultra-high power lasers. Specifically, the company’s experience in InP long haul transceivers is being tapped as AI servers scale out, especially since InP reduces power consumption compared to silicon.

Optical Switching:

Optical switches are a new kind of switch for AI clusters that handles the switching optically instead of using transceivers to convert photons to electrons, and back again. There are many competitors within optical switching, with heavyweights Broadcom and Arista coming to mind, yet Lumentum believes their MEMS-Based technology can set them apart. Although the discussion around MEMS can get quite technical, the idea is that Lumentum is a smaller, (potentially) key supplier for customers putting optical circuit switches into their data centers. Another use case for using Lumentum is to rearchitect or write software to enable the optical circuit switching.

According to the most recent earnings call, Lumentum has “already shipped evaluation units to customers who have provided overwhelmingly positive feedback on our performance.” It was also stated that “more meaningful growth will probably be in calendar 2026” for the optical switching circuit products.

Data Center Interconnects:

For long-distance transmission, Lumentum offers tunable lasers for data center interconnects (DCIs). These transmissions are traditionally used for telecom purposes and can range up to hundreds of kilometers, yet are now seeing demand for data center buildouts. Per the call: “we're seeing dramatic strength in anything ZR, anything to connect data centers as data centers are being built out, and that can take the form of ZR modules. But given our share of tunable lasers that go into ZRs, that's where we're going to see a dramatic pickup in the telecom side.”

Three Hyperscaler Customers for 2025

Lumentum recently added a third hyperscaler customer for a total of three hyperscaler customers. According to the earnings call: “we expect to start shipping volume production against these new customer awards in the first half of calendar 2025, and they will ramp through the year, consistent with the revenue targets we set out previously.”

According to a Susquehanna analyst, this is the return of the primary CloudLight customer i.e., Google. This is in addition to the new customer added last quarter.

With that said, Lumentum is competing for the larger orders expected to be placed sometime in 2025: “And I think we're positioning ourselves very well. We're having the capacity in place, as I said, with clean rooms as well as equipment. So we're planning for success, but we still have to earn that. But that said, these are all very, very large customers that consume a lot of transceivers. And so getting in the door is step one and earning bigger share is really what we're striving to do now.”

FQ1 Revenue and 2025 Revenue Targets

This quarter, Lumentum reported QoQ growth in its primary AI-related segment, Cloud and Networking. Management also reiterated their goal of reaching quarterly revenue of $500 million by the end of the calendar year 2025 while expecting continued significant growth into 2026 and 2027.

The management team plans to achieve its goal of $500 million quarterly revenue from the current guide of $390 million for the December quarter by increasing the EML capacity by 40% by June, and tapping the transceivers and data center infrastructure opportunities discussed above. If the traditional telecom business recovers, the company is expected to reach their goal before the end of the year.

Chris Coldren, Senior VP, recently said at the Barclays conference that he feels a lot better about telecom, which is another positive catalyst as the company’s revenue has declined in the past due to the inventory corrections at its network equipment customers.

“So, I feel a lot better about telecom than we have been at least several quarters that we're starting to see things improve. And hopefully, history repeats as things tend to improve, then they tend to improve faster than you expect. And then when they get bad, they tend to get worse than you expect. And we'll let you know when that starts to happen, but it definitely feels good.”

  • Q1 FY2025 revenue grew by 6.1% YoY to $336.9 million and set a new record for Datacom laser chip orders. The CEO, Alan Lowe, said in the earnings call, “In the first quarter, we exceeded the high end of our guidance for both revenue and earnings per share. We set a new record for Datacom laser chip orders, including 200-gig EML chips, reflecting strong demand from multiple customers, including an AI infrastructure customer.”
  • Management has guided FQ2 revenue of $390 million, representing YoY growth of 6.3% and 15.8% QoQ growth at the midpoint. “As we previously forecasted, our datacom transceiver shipments are expected to increase sequentially this December quarter, and we expect our transceiver production to continue growing throughout calendar year 2025, driven by demand from multiple hyperscale cloud and AI customers.”

Looking further out, analysts expect FY2025 ending June revenue to grow 17% YoY to $1.59 billion and 28.4% YoY to $2.04 billion in FY2026.

Segments

Cloud and Networking

Q1 FY2025 Cloud and Networking revenue grew by 23% YoY and 11% QoQ to $282.3 million. Profit from this segment increased 13% sequentially and 13% YoY. Segment profit increased to 2.5 percentage points YoY to 12.9%.

Revenue accelerated from a decline of (-11.1%) YoY in FQ4. Management attributed the strong growth to setting “a new record for Datacom laser chip orders, including 200-gig EML chips, reflecting strong demand from multiple customers, including an AI infrastructure customer.”

Management expects strong sequential growth to continue in FQ2: “based on expanding cloud demand and improving trends in the broader networking market, we expect double-digit sequential revenue growth in the second quarter.” Per discussions in the Q&A portion of the call, the implied increase QoQ for FQ2 will be $50 million to $60 million or about 20% sequential growth versus the 15.3% guided QoQ growth for overall revenue.

Industrial Tech

Industrial Tech revenue declined by (-38%) YoY and up 2% QoQ to $54.6 million. Management expects FQ2 revenue “to be approximately flat sequentially due to an uptick in industrial lasers led by our ultrafast lasers, offset by a sequential decline in 3D sensing revenue.” Segment profit declined to 4% from 17.4% in the same period last year.

Margins

The company’s margins are recovering helped by cost controls. The management has set an ambitious goal to achieve an adjusted operating margin of 17% to 20% when the company’s quarterly revenue surpasses $600 million. Management plans to reach the target by better capacity utilization, cost controls, and synergies from prior acquisitions.

Looking further ahead to next year, management expects gross margins to increase while operating margins will come under pressure from increased R&D investments: “we’ll see gross margins tick up sequentially through the fiscal year, but we'll — it will be muted a little bit from an operating margin standpoint because of the increased R&D investment we're making just given the amount of customer pull we have.”

The overhead expenses are also expected to increase in the next couple of quarters due to additional capacities being added. These investments are expected to yield benefits in the middle of this year as production ramps up. The Street can be especially margin-sensitive with hardware companies, and thus, this is important to keep track of:

“No, it does have a little bit of overhead impact [to add capacity] because we're building out in our Thailand facility as we move more of our production of transceivers to Thailand. And so as we move that up and ramp that up, there will be a couple of quarters of overhead expenses associated with that. And so that's already contemplated in the sequential increases in margins. But then as that volume ramps up in the middle part of next calendar year, we'll be able to see the benefit of that moving through the quarter. So we'll explain more about that as the quarters happen, but thank you for asking about that.”

  • Q1 FY2025 gross margin was 23.1% compared to 24.1% in the same period last year. Adjusted gross margin was 32.8% in both the periods. Management expects gross margins to improve sequentially throughout FY2025. “In future quarters, we anticipate company gross margins will sequentially increase as manufacturing utilization improves due to an improving telecom outlook as well as an increase in Datacom laser shipments.”
  • Operating margin was (-24.5%) compared to (-25.4%) in the same period last year. Adjusted operating margin improved to 3% from 0.60% in the same period last year. The difference between GAAP and non-GAAP operating margin is due to the stock-based compensation expenses and amortization of acquired intangibles. Management expects the adjusted operating margin to improve to 6.5% in FQ2.
  • Net margin was (-24.5%) or (-$82.4 million) compared to (-21.4%) or (-$67.9 million) in the same period last year. Adjusted net margin was 3.6% or $12.2 million compared to 5.1% or $16.1 million in the same period last year.
  • Adjusted EBITDA was $37 million or 11% of revenue compared to $34.6 million or 10.9% in the same period last year.

EPS

The EPS is expected to rebound in the coming quarters, with adjusted EPS expected to almost double sequentially in the next quarter. Note the very strong, incoming rebound on adjusted EPS below.

  • FQ1 adjusted EPS came in at $0.18, beating consensus estimates by 48.1%, helped by operating leverage and cost controls.
  • Analysts expect FQ2 adjusted EPS to grow 9.6% YoY to $0.35 and 46% YoY to $0.42 in FQ3.
  • Looking further out, analysts expect the adjusted EPS for FY2025 ending June to grow 56% YoY to $1.58 and 134.5% YoY to $3.70 in FY2026.

Cash Flow and Balance Sheet

The cash flows are improving, driven by the recovery in revenue. With management targeting an adjusted operating margin of 17% to 20% once quarterly revenue surpasses $600 million, cash flow generation should further strengthen in the coming quarters.

  • Q1 FY2025 operating cash flow was $39.6 million or 11.8% of revenue compared to (-$2.3 million) or (-0.7%) of revenue in the same period last year.
  • Free cash outflow was (-$34.5 million) or (-10.2%) of revenue compared to (-$63.1 million) or (-19.9%) of revenue in the same period last year. The company has been investing due to the strong demand for AI. The company’s CEO, Alan Lowe, said in the earnings call, “In Q1, we invested $74 million in CapEx, primarily driven by investments in high-speed transceiver capacity additions at our Thailand manufacturing site as well as indium phosphide wafer production capacity.”
  • The company has cash & short-term investments of $916.1 million and debt of $2.58 billion compared to $887 million and $2.5 billion at the end of FQ4.

Earnings Call Q&A:

EMLs are Capacity Constrained

EML production capacity was the hot topic on the earnings call, with the discussions revealing quite a bit about Lumentum’s strategy as the company attempts to compete against companies like Coherent/Innolight, Eoptolink, and others. Essentially, the company is buying CW lasers while reserving capacity for EML production in-house.

Reserving capacity for EMLs:

Here is what was stated regarding why Lumentum is looking for more H2 2025 strength in both EML lasers and the company’s strategy when approaching limited capacity with what they can build in-house:

“So, we use a lot of CW lasers, not EML lasers yet in the products that we're shipping and released today. So we can buy those CW lasers externally or we can use our very critical EML capacity to add those CW lasers into our products.

We've done the math. There's a lot of good CW laser suppliers. It makes more sense for us to buy those CW lasers and free up that EML capacity to ship to our customers than it would be to convert that EML capacity to CW lasers, for example. So that's one of the things that's pushing off that integration of CW lasers into our products until the second half.

I'd say that we are working on EML-based designs, and those will come to market in the second half of the calendar year. We have to get qualified and go through that. But today, most of the products that we're producing are silicon photonic-based using CW lasers from our strategic supplier partners to keep that EML capacity for our customers.”

–End Quote

1.6T Transceivers Driving Demand for EMLs:

Lumentum’s call is decisively focused on EMLs compared to more broad product discussions on the VSCELs or CW lasers that Coherent’s call covers. When asked why EML is so critical to Lumentum’s strategy, the management team responded with:

“And I'd add that the real performance advantage of EML starts to come in as we talk about 1.6T and future generations of higher performance 1.6T. So, our natural road map also aligns with using more vertical integration where the technologies are much more differentiated at those speeds.” There was also a follow-up: “And as Chris said, a lot of the new next generation of 1.6T likes EMLs better, especially as you get into multi-wavelengths where EMLs can really play a key role there. So yes, we're absolutely going to do that. It probably makes more sense in the second half of the calendar year as we get into these more advanced 1.6T products.

And then we have next-generation 200-gig EMLs, which are really going to differentiate us from our competitors. And I think that really gives us the ability to drive incremental differentiation at the transceiver level and drive higher gross margins.”

It was also stated during this discussion that the goal is to increase EML production capacity by 40% between June of 2024 and June of 2025. There was a question as to why not increase it 100%, to which management relented they would increase by that much, if they could: “So a very good question. If I had the ability to add 100% between now and June, I would do it.”

Most importantly, management hinted there would be more than 40% capacity increases after June, pointing toward wafer capacity for EMLs coming online in Japan: “And so I think we're going to do well in the second half of the calendar year on that. But we are adding capacity beyond the 40% for sure after the June quarter. We're not sitting idle for sure.”

EMLs will Not Ship until Later this Year:

Quick note to say the 11% sequential growth last quarter and the expected 20% growth this quarter in the cloud and networking segment is not coming from EMLs yet.

Per the discussions: “And so these, in general, are transceivers that won't have our EMLs at initial launch, if you will, because these have been in development and designed over the past year or so.

Obviously, these accounts have other opportunities to Alan's point, as we succeed and execute with them, not only will there be more share, but there will be more SKUs and other types of transceivers where we can introduce more of our own content.”

Expanding Outside of China

There were discussions around China with management stating “we’re as tariff-free as you can get with respect to our future,” citing manufacturing in the United States, U.K., Thailand and Japan. Similar to Coherent, Lumentum sees this as a tailwind.

“And with our U.S. headquarter and manufacturing outside of China, I think there's a compelling reason for customers to come our way. So we expect to not only grow our datacom module business and EML chip business, but gain significant share through the next coming years.”

Conclusion:

It’s important to emphasize that it’s not clear who will win the networking wars, yet we think given our detailed process of tracking earnings reports for material inflections, combined with technicals that allow us to reduce risk while tracking breakouts, that we will be able to carefully add the correct winners to our portfolio for 2025.

To hear more on how we plan to position this year, plan to join me for a one-hour special webinar for Q1 2025 on January 14th at 4:30 pm EST.

That’s a wrap for 2024! Thank you for an amazing year, we look forward to continued outperformance in 2025.

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

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