Wpr101's January 2026 portfolio review

Hey all, it was an up and down month for my portfolio. Fortunately a few companies held up well like IREN, ELVA, and SKYT.

I had a breakthrough with setting up a new screener this month that uses analyst estimates as a way to estimate the company’s guidance. There is a video on my Youtube channel describing how this screener works if that sounds interesting.

Returns are,

  • 2024: +146%
  • 2025: +112%
  • 2026: +4% YTD
  • Cumulative: +442%

Allocations are,

  • Iren IREN - 18.8%
  • Astera Labs ALAB - 16.1%
  • AppLovin APP - 14%
  • Electrovaya ELVA - 12.5%
  • Figure Technology FIGR - 9.2%
  • Paymentus PAY - 3.9%
  • Credo CRDO - 3.7%
  • Pattern Group PTRN - 3.5%
  • Reddit RDDT - 3.3%
  • Dave Inc DAVE - 3.3%
  • Shoals Technologies SHLS - 3.1%
  • Micron MU - 2.6%
  • T1 Energy TE - 1.9%
  • BioHarvest Sciences BHST - 1.4%
  • SuperMicro SMCI - 1.2%
  • Duos Technologies DUOT - 1%
  • Motorsport Games MSGM - 0.5%

Promising new ideas on the month,

  • Accelerant Holdings ARX - insurance and risk marketplace
  • Energy Vault Holdings NRGV - utility scale energy storage
  • Zedcor ZDC.V - AI enabled surveillance and 24/7 monitoring
  • Anaergia ANRG.TO - waste to energy platform
  • Blaize Holdings BZAI - AI chip maker for edge data centers
  • Figma FIG - SaaS for product management and design
  • Cloudflare NET - Security platform for protecting apps
  • Sandisk SNDK - Old school memory maker getting a boost from AI
  • SiTime SITM - timing devices for semiconductors
  • Nanya Technologies 2408.TW - DRAM maker gaining share in Taiwan

I am starting to get ready for the earnings season now with SuperMicro and Reddit reporting earning this week.

Best of luck to everyone with their portfolio this year!

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Figma is mostly a UI design, app prototyping and deployment set of tools. I don’t know what actual product management tools they have. They agreed to be bought by Adobe a couple years ago, but the government nixed the deal since they felt Adobe would be too monopolizing in the design space.

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I was looking at their numbers this morning. It isn’t growing at a super growth rate, but might be worth looking at as Adobe is also at a 4 year low today. If they are taking share, it could be a good investment. The issue is that I think everyone is expecting ai (like $GOOG’s Nano Banana) taking this market over. Numbers look decent though.

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The last couple engineering jobs I had were both using Figma to as the main product development tool. At least what I saw is that it’s become the de-facto standard for building mobile apps from the product side. Typically if there was a new feature the designers or product will produce the screens and transitions in Figma and it stores all the underlying primitive objects that are needed for iOS or Android development. Once the designers have finished up, they will often look for feedback from engineers, demoing within Figma. There are all sorts of integrations as well such as attaching the design to engineering tickets in Atlassian’s JIRA.

I also saw how when there was a presentation to executives, what used to be done in a powerpoint is now done through screen-share and Figma. Since the whole app is designed through Figma is just makes sense to use the app natively like that rather than build a presentation. Overall, I see this as a product that is used across a business by a lot of different roles, whether it’s engineering, design, product, or management.

It seems like Figma is getting scooped up in the narrative that AI will completely disrupt their business. My take at least on Figma is that it will be fairly challenging to disrupt them now. Figma helps lock down a precise definition of how the app will work working with the tooling that iOS and Android have. Those tools like Nano Banana or ChatGPT can produce one off designs that are not really useful in the engineering sense yet. Of course this space is evolving fast though but I think it’s going to be hard for pure AI to replace Figma.


From the investing side, what I’m really interested to see with Figma is if they are reaching GAAP profitability on the next quarter. Their first posted quarter was 52M of GAAP net income, but the next quarter had all the IPO expenses jammed in there. Analysts are projecting a quarter that is heavily GAAP negative, but I’ll be kind of surprised by that outcome. This seems like a fairly light business model in terms of SaaS. I do not think this company needs a huge salesforce as their product is well known from the ground up.

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I was referencing the Net Retention for customers over $10k being 131% and the fact that they guided up and have beat by 2-5% points typically. Thanks for your thoughts as well.

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As a side point, are you looking at GAAP net income numbers specifically because of the market temperature? I think that was definitely one of the lessons from 2022 that some of us pulled forward. The companies that tended to be growing AND had a P/E obviously did better back then (as I think you know and might be applying).

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Yes, my teams also used Figma at the previous 2 companies I was at. It was really great (probably still is), because you can use it not only for static “here’s what the app will look like” stills, but you can also make it live in demo/prototype form in minutes, and then when you’re ready for the real deal, what you did in Figma carries over as well to the final product.

Well, I see that Figma already has (for paid plans) some AI integration: Use AI tools in Figma Design – Figma Learn - Help Center

I’m not sure what I see there makes a big difference, but I’m not that close to it anymore. I suspect it’s somewhat like graphic design - today if you’re just doing something internal, like for a presentation, AI can do the graphics for you probably better than you ever had. But, it’s still not really ready for an ad you’re going to place on bus canopy walls. I would think having AI produce Figma files might be the best of both - get started quickly, but then have human-tweakable and then production-ready assets as output.

Figma’s products have been great - if they’ve got a good handle on monetizing the business, it’s definitely worth a look.

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I have been reading and watching plenty about AI for Devs and it looks like most AI models are heavily trained to use Figma. Looking at OpenAI most recent release Codex App has 2 different skills to use Figma (MCP and Design).

The release video from OpenAI has Figma as one of the three installed skills. 4 minute long video but you can verify at the 2:41 time mark.

My experience using AI has made me very skeptical of SaaS companies but I think several SaaS companies will become larger winners in the future as AI funnels people into some SaaS products. Right now it looks like they are training the AI to use Figma. But if AI capabilities continue to grow at this pace it might move Figma into the camp of SaaS that struggle to compete against AI in the future.

Drew

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They just announced good earnings, for those that believe them:

Adjusted EPS: $0.69 vs analyst estimates of $0.49 (41.4% beat)
Adjusted EBITDA: $592 million vs analyst estimates of $440.9 million (4.7% margin, 34.3% beat)
Revenue guidance for next year is $40 billion (midpoint) from $36 billion, a 11.1% increase
Adjusted EPS guidance for Q1 CY2026 is $0.60 at the midpoint, above analyst estimates of $0.52

Market cap was almost $18B before the announcement.

However:
• Operating margin down to 3.7% from 6.5% from same quarter last year.
• Gross margin also declined.
• Customer concentration: One customer accounted for 63% of revenue for the quarter! Clearly there’s a hyperscaler using SMCI heavily.

I admit the story sounds OK, but adding the margin pressure (traditionally an issue for this kind of business) and the single customer concentration on top of what has historically been fraudulent or at least iffy accounting practices, I’m not particulary interested in getting back in.

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I looked at SMCI again as well. The revenue gorwth story is great, but margins are terrible. I decided against even a small position, and I wasn’t even aware of the customer conentration. Given all that, the stock popped today - we’ll see if it’s sticky are quickly sold off.

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I view GAAP profitability as a proxy for the business becoming self sustaining. This allows the company to accumulate cash rather than burn through cash. In turn this cash generation helps improve the value of the stock. I’ll compare and contrast two companies in SaaS like Cloudflare and Paymentus. Both companies are FCF positive with NET having 83M of FCF quarter and Paymentus have 35M of FCF. The cash flow indicates both businesses have no liquidity issues, yet the difference is in the bottom line.

Paymentus’ cash balance over the past over the past year has gone like this, 188 → 206 → 246 → 266 → 288. This gives the company flexibility to invest further while improving their valuation. Cloudflare on the other hand had to raise 2B in convertible notes because their revenue does not translate to the bottom line, and thus they are raising capital from outside sources for expansion of their business.


Good points here, I’m also getting further away from having hands on experience with the product as it has been over year since I’ve used it. The AI space is moving fast as well and it’s hard to know when there will be some sort of tipping point on AI tools. I have seen from a number of different places in the past week talk about scientist’s viewpoint on AI. The AI has solved multiple math and physics problems that were unsolved by humans, and its accuracy being set on these types of problems is improving.

Probably part of the reason for the selloff is that the market is thinking years down the road for how these businesses may get disrupted. I don’t see this pure disruption scenario happening in the next couple of quarters, but who knows how the landscape will look in a couple of years.


This investment in Supermicro was about as close as I get to a trading position with my strategy. I’m in agreement there is way elevated accounting risk still, along with poor margins, and throwing on top of that a customer concentration issue.

Where I saw an opportunity this quarter is that the stock price had gotten too beat up even factoring in high probabilities of recurring accounting issues. Heading into the earnings the market cap was 18B with a projected revenue of 10 - 11B by management. That includes them saying they had a 13B order recently, management saying they gave a very conservative guide, and are getting up to a 100B annual run rate soon.

Basically the market is pricing in an incredible amount of risk with the current valuation. A lot of times when this scenario comes up a company just meeting expectations can drive the stock price because the market views the stock so pessimistically.

I am not too interested to make this a long term holding right now because I see companies like ALAB, CRDO, MU, IREN, or SNDK having better propositions. Especially MU has a big contrast in pricing power on their side, while pricing power is going against Supermicro.

Supermico does have a new buildings block product though which is over 20% margin and making up 4% of revenue. They say this piece is expanding, but on gross margins the management said they expect it to only go up 30 basis points next quarter. One last thought is that even though the margins are tiny, we are talking about a massive top line number that still translated to 401M of net income. I will likely take another look at Supermicro again before the next earnings to see if the risk/reward again looks attractive heading into that report.

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@wpr101 ALAB looks like it has a premium valuation according to tikr.com data, are you worried about that at all? NTM EV/EBITDA is 45.6 vs 2-year fwd ebitda cagr of 40% (ratio is 1.1) Also, Ntm p/e is 53 vs fwd 2 year eps cagr of 37.7%. Do you think the analyst estimates are too low? I thought alab will expand margins more on future product lines so I’m surprised the EBITDA forecast is not higher.

CRDO looks much cheaper and is expected to grow earnings much faster. NTM EV/EBITDA is 25 vs 2-year fwd ebitda cagr of 158% (ratio is .16) Ntm p/e is 32 vs fwd 2 year eps cagr of 148%.

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@FoolishJeff Good question, I am not too concerned about the valuation for Astera Labs and Credo. Generally, we will have to pay up for companies which are on the forefront of innovation. I see both companies as innovators so I would expect to be paying a higher price for these two companies. They are also both in a league of their own in terms of innovation plus growth.

The other investment angle which seems to be working well with hardware companies is where the product was commoditized or low innovation and begins to ramp revenue fast. Some good examples of that are Supermicro in 2023, or currently with Micron, Sandisk and Lumentum. In these cases the valuation is more depressed to begin with because they were not priced as an innovator.

I also look at the relative price of a company versus the industry. In the case of Micron, Sandisk, and Lumentum they are all close to 52-week highs and benefitting from similar data center spend. In the case of Astera Labs and Credo they are both about 50% off of their 52-week highs and I see that as an opportunity. When the market is ready to start paying up for high growth names again these companies will likely rise fast.

It is challenging to say whether the two year estimates of revenue and profitability looking ahead are reasonable or not. Probably they are estimating way too low which is what typically happens on high growth names if the business is successful.

Another way to think about this is that analysts are giving an exact number for metrics that are eight quarters in the future. If we were able to even predict accurately where the revenue would be in the next quarter or two quarters from now it would be a huge edge over the market. Yet we see all the time on this board companies which do way better than we thought or underperform our expectations on metrics. The business cycle is really too dynamic to be forecasting years in advance what EBITDA dollars may land at. For those reasons I consider the two year look ahead metrics to be of low value for the investor because it’s an extrapolation from the current revenue number.

Here is an example with Credo to show why the 2-year estimate for growth names often ends up with the analysts saying “you broke my model” or similar sentiment. In September 2025 Credo reported 223M of revenue and guided for 230 - 240M of revenue. I do not have historical data on the analyst estimates but no analyst would be close to estimating that Credo would be getting 404 - 408M of revenue just two quarters later. I would be surprised if any analyst was projecting over 300M of revenue for this upcoming quarter back then. Just going off those current revenue trends, you’d see analysts projecting numbers like ~240M, followed by ~265M. The 2-year estimates from the analysts just two quarters ago are way off now, and they have gone back and changed those remaining six quarters to revise upwards. It makes me question what good modeling for two years out is if the numbers get changed and extrapolated forward every quarter.

I do find the next quarter analyst estimates to be useful though. Analysts usually estimate within the company guidance range. These estimates are quite helpful especially on companies which do not provide guidance. Also the projections for one quarter away are of more value and relevance than a projection from eight quarters away. When I look at what the analyst estimates are for Credo for this upcoming quarter they show analysts expect 386M of revenue, when the company told us they would be in a narrow range of 404-408M. Again, this makes me question the value of these analyst estimates as it looks like multiple analysts have not updated their models since the pre-announcement of revenue. The analyst’s job is to stay current on the companies they cover, yet it seems many of them do not even track important press releases from the companies they cover.

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This is something that has been a gripe of mine for years. When I see a DCF analysis of a high growth company, or someone argue that a given company can’t possibly sustain a pace of growth years into the future I discount the analysis.

Tinker, who used to regularly frequent this board, once asserted that more than one year was long term. He based that on the fact that the tax code defines long term cap gain/loss as change in value for an asset held over a year. That makes sense to me.

When I try to assess the worthiness of an investment, before I dive into the financial data I first look at what is it that the company does in order to generate revenue. I try to assess the competitive landscape and the market demand for the company’s product/service over time. I admit, there’s a great deal of guess work involved in these assessments. The competition is usually easier to determine than the demand over time. But, recognizing that I am not prescient I try to err on the side of conservativism. I rely heavily on the statements made by management for both assessments.

Quite simply, trying to determine the present value of an investment in a high growth company by projecting the company’s economic performance five years in the future when the revenue is garnered from an innovative offering that addresses a requirement that didn’t exist less than five years ago is, IMO, ludicrous.

Saul used to assert that he takes a position with the intention of holding it forever - However, if you were to review his monthly posts in which he documented his holdings, you would be hard pressed to find a position that he held for over five years. Despite his best intentions, he rarely (if ever) actually held a position for several consecutive years. Inevitably the company would falter or an opportunity which appeared to be more promising would come along.

When making an investment decision I used to try and assess how a company might fare well into the future. I no longer pretend to pierce the dense fog of the distant future. If the next 3 or 4 quarters look promising and there’s no obivious pitfall beyond that time frame (i.e., critical patent expiration, potential legislation detrimental to the company’s business, etc.), I consider the information at hand sufficient to make a decision.

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When I first read this I nodded in agreement to myself. However, I’ve since changed my mind. The difference is that Nvidia is not making its own memory (at least not yet), but Nvidia is very much making its own networking hardware and software. Nvidia is able to take a holistic systems approach to AI - not just the GPUs, but also CPUs (via their own ARM designs), but also, noteably, the networking chips, interconnects within the board, between boards, and between servers. Nvidia makes more money on network than AMD makes on all of its AI products. This is a concern for investors looking at AI networking companies - will Nvidia’s networking prowess limit how much the networking only companies can grow? There’s only so much Trainium or TPU networking business if they can’t participate in new Nvidia server networking.

I’m not saying that’s true, but it is a concern, and could explain why AI memory companies are soaring while AI networking companies are lagging.

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What gives me some confidence about the market for Astera and Credo, is that there are bigger AI networking companies that are still ramping revenue at a big scale. The space is dominated by Broadcom and Marvell which are growing as well. Broadcom is up at a 1.6T marketcap, with the only bigger companies being hyperscalers and NVIDIA.

Here is what Broadcom had to say about the AI specific part of their business in the press release,

“In Q4, record revenue of $18.0 billion grew 28% year-over-year, driven primarily by AI semiconductor revenue increasing 74% year-over-year," said Hock Tan, President and CEO of Broadcom Inc. "We see the momentum continuing in Q1 and expect AI semiconductor revenue to double year-over-year to $8.2 billion, driven by custom AI accelerators and Ethernet AI switches. We forecast Q1’26 total revenue of $19.1 billion and adjusted EBITDA of 67%.”

Broadcom is projecting AI related revenue to double year over year on the next quarter. It is also interesting to think that they are going to be doing 8.2B worth of AI networking in a single quarter, which is more than 10x the revenue of Astera Labs and Credo combined. That indicates to me the demand is robust for these types of solutions even with NVIDIA integrating and promoting their own solutions. I would view the risk profile for ALAB and CRDO a lot differently if they were only the two companies in the space.

The other factor I am considering is that ALAB and CRDO are getting first to market ahead of Broadcom on different solution sets. In a few cases Broadcom has come out after Astera to announce a product in the same space. Another difference I see is that Astera and Credo are more purpose built to focus on AI networking, whereas Broadcom has a legacy business to support as well.

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Blockquote

First, just to be clear, I own Astera and have small positions in Credo and Arista.

Second, however, many things can be true at the same time.

I don’t think that’s correct. The $8.2B for a quarter prediction is for all of their AI revenue, which includes their custom AI accelerator (XPU) business.

OTOH, Marvell recently acquired Celestica AI, which, according to this report, was the #3 Ethernet Data Switch vendor last year (Artisa was #1, Cisco #2, and Nvidia itself was #5). Of course, ethernet switches are used in more than just AI data centers, and AI networking is more than just switches.

The networking space is complex, always changing, and bifurcated between Scale-Up and Scale-Out, with a further bifurcation between Nvidia and ASICs. I don’t know all of the products from all of the companies in this space, because, well, keeping track of all of them as they change and leap frog each other is close to a full time job.

Nvidia itself has products for both (NVLink for Scale-Up and InfiniBand for Scale-Out). Astera and Credo also have both as well. Arista is Scale-Out only.

Astera had a good business with PCIe retimers back in the Nvidia Hopper days. For Blackwell, Nvidia redesigned and optimized their boards so fewer of them are needed, and has replaced Astera retimers with their own ConnectX-8 NICs.

Furthermore, Nvidia has been progressing from up the value chain, not just selling boards with GPUs on them, and not just selling servers, but now whole Exa-scale racks. Their NVL72 (great link) is not just a reference design, it’s an actual Exa-scale rack in a (big) box, heavily leveraging NVLink to connect those 72 GPUs (and 36 ARM CPUs) together, so no opportunity for third-party Scale-Up solutions inside. A NVL72 costs betweeen $3million and $3.5million according to multiple sources, and are available from Hewlett-Packard, Quanta, Dell, SuperMicro, Asus, and others.

This post describes Meta’s custom version of the NVL72, called “Catalina,” which ups the CPU count from 36 to 72, among other changes, such as removing legacy PCIe boards. I recommend scrolling down to the “Investment implications” section in that long post, which itself has several conclusions, but here are the ones related to networking:

• For Scale-Up networking, it’s all Nvidia’s NVLink.

• However, for Scale-Out, it’s third-party Ethernet instead of InfiniBand.

That keeps Broadcom’s Tomahawk line and Cisco Silicon One deeply embedded in Meta’s AI networks and tilts the broader industry toward scheduled Ethernet rather than IB for scale‑out. Arista and other open‑networking system vendors ride this with 400G optics today and 800G ports configured as 2×400G for breakouts tomorrow. The practical read‑through is that Spectrum‑X wins at select customers, but the hyperscale center of gravity remains merchant Ethernet, where Broadcom, Cisco, Marvell, and system OEMs capture sustained silicon and system share.

I didn’t see either Astera nor Credo mentioned, just Arista, Broadcom, Cisco, and Marvel. Maybe that’s an oversight on the post author, or maybe he knows something about what choices Meta is making. Meta matters because of its multi-billion dollar spend, but of course there are other high-spenders as well.


Another aspect is the non-Nvidia AI build-outs. Amazon through Anthropic has used almost exclusively its own Trainium ASICs, and, of course, Google has TPUs, and even Broadcom has XPUs.


Astera knows its retimer business is on the down slope, as PCI-e gets replaced (they hope) by UA-Link. Amazon has reportedly talked about switching to UA-Link with their 2027 and later build-outs.

while NVIDIA’s reference designs have reduced retimer content, Astera has seen increased content in hyperscaler customizations of platforms such as Grace Blackwell and expects similar customization trends for Vera Rubin. He added that PCIe-based scale-up deployments represent a larger opportunity for retimers.

There’s a lot more in that article, including ALAB acknowledgement of slower CXL sales, and competition from Marvel with the Celestica AI acquistion of CPO (Co-Packaged Optics) technology compelling ALAB to start to develop its own “optical engine to add optical I/O to the Scorpio family, supported by the company’s acquisition of Xscape for packaging capabilities.”

For Taurus Ethernet AECs, [Astera’s] Mohan said second-half 2025 growth was driven by one lead customer, supported by both increased deployments and share gains. He expects additional growth as the industry transitions from 400G to 800G, with Astera spending the first half of 2026 in qualification and expecting volume ramps in the second half.

I think the investing thesis for ALAB remains:

Discussing go-to-market strategy versus competitors, Mohan said Astera supplies the smart cable module and firmware, while partners build the full cable—an approach he said provides hyperscalers supply chain diversity, avoids “margin stacking,” and reduces requalification burdens across applications.

How important a differentiator that is in terms of sales, is, unfortunately, beyond my knowledge or expertise.

This is not a simple space to understand, and I feel trying to predict who will or won’t be successful based on how good and appropriate their products are is a really tough game. This might be yet another case where the Saul “I don’t understand, nor need to understant, the tech” because he/we focus on the business numbers is what matters.

So, in that regard, how are Astera, Credo, and Arista doing, business-financial numbers wise? Who’s growing, who’s stalling, etc.?

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