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Category: Software

Reddit Q1: Bottom Line Expansion Will Face Off with Revenue Deceleration in Q2  

Posted on May 4, 2026June 30, 2026 by io-fund

Reddit exhibits a quiet fundamental strength, with management highlighting its “one of one” financial model as the only publicly listed tech company with >40% revenue growth, >30% adjusted EBITDA and FCF margins, <$15 million in capex and >90% gross margins. Although it’s primarily the gross margin that sets the company apart in the “one of one” marketing language, it’s notable because Reddit’s valuation remains quite low. 

Q1 was a solid quarter for the social platform with Q1 revenue up 69% YoY, ARPU marginally accelerating to 44% YoY, operating and free cash flow margins of 47%, and a Rule of 40 score of 109%. 

On the ad front, Reddit is showing impressive strength in driving costs lower while increasing conversions and ROAS for advertisers, pointing out that they doubled the number of conversions delivered YoY in Q1. Conversion-driven lower funnel revenue was highlighted as a particular area of strength with growth of triple-digits YoY, while Reddit is focusing on driving top of funnel growth via more data in models, updating models faster and accelerating models into production – all without a high capex bill like Meta. 

We have frequently discussed the potential headwinds to Reddit’s story from algorithm changes within Google Search, its key traffic vector. This quarter, Reddit largely brushed off concerns that algorithm changes in Search would impact traffic, explaining that some changes help traffic and some hurt, but they “almost never stand out on our traffic long term.” 

There are a few puts and takes to Reddit’s growth story. Notably, the company is extremely early in its AI ads journey with Max being just 3 months old versus Meta’s Advantage+ on its fourth year, and Dynamic Product Ads only one year old, yet is already driving significant ROAS and conversion gains for advertisers with lower CPA.  

Logged-in user growth continued to decelerate, though Reddit sees an ability to monetize both logged-in and logged-out users relatively equally based on impressions. On user growth more specifically, Reddit is aiming to drive global DAU 8X higher to 1 billion, a cornerstone for future ad revenue growth via higher impressions and engagement on its platform, yet it comes with a self-inflicted headwind on relying heavier on the much lower-ARPU International region to come to fruition. To offset this, management discussed growing US DAU by roughly 2X to 100 million.  

Net-net, Reddit’s overall revenue is decelerating, which is the primary blemish. Management stated in their opening comments this is the seventh consecutive quarter of >60% growth, yet they are guiding for growth of 44%. Therefore, the main question is whether Reddit is headed permanently to sub-40% or even sub-30% growth or is there a catalyst on the horizon?  

Logged-in Users Monetize Higher, and Growth Decelerates 

Q1 is the second-to-last quarter where Reddit will offer its logged-in and logged-out user metrics.  This quarter, logged-in user growth decelerated once more while logged-out user growth remained steady with growth nearly 20 points faster.  

Logged-in daily active unique users (DAUq) grew 7% YoY to 52.0 million in Q1, though this growth was almost entirely driven by International, up 12% YoY to 28.8 million as US growth was barely 1% to 23.2 million. This also marked a three point deceleration from 10% YoY growth in logged-in users in Q4, and a seven deceleration from Q3. 

On the flip side, logged-out users grew 26% in Q1 to 74.8 million, just a one point deceleration from 27% in Q4 and a two point acceleration from Q3’s 24% growth. This again was led by International with 38% growth to 44.5 million, while US grew 12% to 30.3 million.  

This dynamic has been a major point of contention over the last couple of quarters as the Street models logged-out users monetizing at a lower rate, while they grow faster than logged-in users at a larger scale. Reddit did confirm this in Q1, but offered commentary that it does not matter as much as they can monetize both user groups rather equally based on impressions:  

“The only reason why logged-in users, you'd say have a higher ARPU than a logged out user is just because they spend more time and they see more impressions. 

But because of the time spent and the engagement, the impressions are actually pretty equal in terms of their value. So there's no differential in our ability to monetize any impression against those users. There's no difference. And we do monetize both types of users, we have great contextual signal on all our users. And then obviously, we have history on logged-out users and even more in terms of logged-in users because they subscribe to communities.” 

Outside of the higher impressions, one of the reasons why logged-in users monetize at a higher rate builds on the last point from above, and this is something we touched upon in our Meta analysis – personalization. Since logged-in users spend more time on the platform with higher engagement, Reddit knows these users better, and can better personalize their feeds and deliver the ads most relevant to them. Reddit re-emphasized this point, explaining that “seeing more users in the app, more users logging in, more users getting the personalization faster drives engagement and then, therefore, monetization.” 

This is where the market’s concerns have arisen, with logged-in users monetizing at higher rates, yet growth continues to decelerate. Reddit still has some levers to pull to drive log-ins, such as with Passkeys, which management sees as an easier and more secure way of logging in that will help drive log-in user growth.   

Overall, the takeaway is that Reddit is a unique business model as it combines heavily sought-out search function with social aspects. Management feels confident logged-out will monetize at a similar rate as logged-in – for example, Google ads do quite well due to search intent – but given the low valuation, the market is communicating it prefers to wait and see than front-load Reddit’s valuation on management commentary. 

DAU Growth a Core Focus, but Raises a Key Risk 

While increasing its monetization ability on the ads side from AI optimizations and automated campaigns is a key growth lever, the second boils down to user growth – more visits, more eyeballs, more engagement and more ad impressions.  

Q1 featured lengthy discussion on Reddit’s user growth goals over the longer-term (likely 10 years), with the company having its sights set on reaching 1 billion global DAUq, an ~8X increase from Q1, with 100 million DAUq in the US, up ~2X. This would shift Reddit’s DAUq demographics to 90% International for DAUq and 10% US, compared to its current split of ~42% US and 58% International today.   

This is one of Reddit’s core focuses for 2026: accelerating user frequency, or the number of days a Redditor visits the site. While the path to 1 billion DAUq does require Reddit to acquire half a billion more new users, it also requires the company to leverage is WAUq (weekly active user) base, which currently sits at 493.1 million, up 23% YoY.  

Reddit is already working on that piece of the puzzle: 

“So, we think about how do we increase that frequency from maybe once a week to, for example, every day. There are — there's a lot on the list here. Our focus the last couple of quarters has been onboarding. We're seeing progress there. We've moved new user retention in the quarter. Feeds will be a major driver looking forward. I think we're at the relative beginning of our journey there. Search has been a consistent driver. 

So carrying most of the weight the last couple of quarters has been machine translation. We’re translated in 30 languages today. We've been able to lower the cost there, which is nice. It allows us to scale even more there. And then performance is another big driver. And we look at gaps between iOS and Android and what the expected delta should be, which is basically 0. So I think a lot of opportunity there as well.” 

Reddit revealed more insights on user frequency in a separate question, explaining that viewing this as “how many days per week do users come to Reddit” sees the highest frequencies at 1 day and 7 days – the first being more of the WAUq (one visit per trailing seven days) and the second being its DAUq.  

This is why Reddit is focusing on performance improvements, expanding Search (with WAUq up 30%), expanding machine translation, improving the quality and personalization of its feed and improving new user retention, to bridge the gap between the 1 day and 7 day users and drive a much larger share of its weekly users to become daily. 

However, there’s one critical point to discuss here for Reddit’s long-term DAUq vision. By relying on substantial growth in International users to reach the 1 billion goal, Reddit arguably is creating its own headwind to ARPU.  

This is because US users monetize at a much higher rate, and this is not specific to Reddit as Meta also sees a similar differentiation. Reddit’s US ARPU in Q1 was $9.63, nearly 5X higher than Reddit’s International ARPU of $2.02. International ARPU is unlikely to close that gap anytime soon, as growth was three points slower than US in the quarter at 50.7% versus 53.6% YoY. As DAUq begins to shift from its current ~58% International towards the ~90% needed to hit the 1 billion target, the higher proportion of lower-monetizing users could weigh on growth, though this is not likely to be seen for quite a few years.  

Strong AI Ads Momentum with Reddit Max and DPA 

When it comes to ads automation or AI-driven campaigns for advertisers, Reddit is still early in its journey as its automated platform Max is only on its third month, while Dynamic Product Ads (DPA) are barely a year old. Despite this, Reddit is already seeing strong gains in ROAS for advertisers, meaning the two could emerge as potential catalysts to keep ARPU growth and thus revenue growth strong.  

We had said in our Q4 write-up, Reddit Q4: Unwavering Fundamentals; Change in User Reporting Metrics, that Reddit’s new Max campaigns, launched in public beta in January, represent its shift towards an AI-driven, automated ads platform that can increase the number of advertisers that Reddit onboards – the latter point was hammered home in Q1 with Reddit revealing a >75% YoY increase in active advertisers.  

Max encompasses the first and second parts of Reddit’s three-pronged ads strategy: scaling automation and delivering increased advertiser value across objectives. The reason we are watching Max closely as a potential longer-term growth catalyst is that it drives costs lower while offering strong uplifts to conversions or ROAS. Reddit says Max, on average, can drive a ~17% decrease in cost per acquisition (CPA), using tools such as auto bidding, alongside a 27% lift in conversion volumes, highlighting furniture brand Cozey in Q1, which saw a 27-28% decrease in CPM/CPA alongside a 35% increase in ROAS.  

This compares to a ~7-10% decrease in CPAs on Meta’s Advantage+ with a comparable 29% increase in ROAS with Shop ads, which could make Max a compelling option for advertisers, notably in the shopping vertical where Reddit has a rich treasure trove of data. However, the challenge here is shopping is where Advantage+ found success, reaching a $20 billion run rate, up 70% YoY, in Q4 2024. Reddit noted that 40% of conversations on Reddit see people “actively discussing products, services and purchase decisions,” with 40% YoY growth in high-intent shopping conversations last year. Additionally, Reddit said “84% of shoppers say they feel more confident in their decisions after researching on Reddit.” This suggests that shopping could be a high-velocity channel for Reddit to target, leveraging these conversations and contextually-rich data to increasingly drive higher conversions and ROAS for advertisers. 

For Max, Reddit is seeing strong adoption from advertisers, explaining that “customers have been really willing to make the conversion [and] they're very pleased with the CPA benefits that they're seeing out of the gate, which is great. And I think what this opens the door for us to do is to have faster adoption of our new performance features.” Reddit added that about 50% of Max advertisers are using AI-powered creative tools to drive stronger performance.  

The shopping strength is also visible within its Dynamic Product Ads (DPA), which launched a year ago to bring Reddit-unique content to the shopping journey. Reddit highlighted Liquid IV, which noted DPA has already generated 33% of its total platform revenue despite being a newer ad placement, while outperform other conversion campaigns by 40%.   

Similar to Max, it remains early in the journey for DPA. However, Reddit’s ability to deliver >90% higher ROAS YoY on average for brands, combined with upcoming levers such as adding more data to models, improving ad relevancy and personalization, and leveraging partnerships with Shopify and WooCommerce to onboard more advertisers could make DPA another potential growth catalyst.  

Driving Growth with Low Ad Load  

Surprisingly, Reddit is driving its current growth and Q1’s marginal acceleration in ARPU with low ad loads, implying that the company has not reached its full monetization potential. For one, Reddit could gradually begin to increase ad loads to similar levels as peers like Meta, or begin to integrate ads across more features within its site such as its new AI search tool Answers (not currently there).  

However, Reddit does not plan on increasing ad load in the near-term, instead preferring to focus on increasing ad relevancy, growing active advertisers, and increasing ad performance, all key levers in driving conversions and ROAS higher and increasing the stickiness of its platform: 

“Ad load overall is still quite low compared to peers, especially if you look at it just on a feed-to-feed basis, it's still substantially lower and overall on Reddit, we actually don't even have ads in certain high growing surfaces like Search, for example. So overall, I actually feel comfortable on an absolute basis of the ad experiences, there actually is not a high ad load. 

But that aside, we test this all the time, and I think we're very thoughtful about it. As you increase the ad relevancy, which we do through our ML work and we increased the diversity of advertisers in our marketplace, which we're doing. We said we're growing active advertisers, 75% year-over-year. That actually helps with enabling, if you were to move the ad load lever like giving you the diversity to still maintain performance. 

So just know that there are other levers that we focus on more than a lot, like our strategy is not to increase ad load. Our strategy is to grow users, all the things that Steve talked about, where we think we have a 10x opportunity there and to make the value of every impression more valuable through more competition and diversity, through stronger optimization and hard marketing outcomes, more clicks, more conversions, more installs per impression.” 

As Reddit executes on its user growth ambitions, impressions will likely grow in tandem, so if Reddit began to pull the lever on increasing ad load in the future, ad revenue growth could begin to compound.  

Financials 

Q1 Revenue Grows 69.1% YoY, beat estimates by 8.3% 

Reddit reported Q1 2026 revenue of $663.4 million, up 69.1% YoY and beating consensus estimates by 8.3%. It marked the seventh consecutive quarter of greater than 60% YoY growth. On a sequential basis, revenue declined (8.6%) QoQ, consistent with the typical seasonal pattern from Q4 peaks — Q1 2025 also saw an (8.3%) QoQ decline from Q4 2024. The strong revenue growth was primarily driven by 74% YoY growth in the advertising revenue to $625 million. While its other revenue, which includes licensing deals with Google and OpenAI, rose by 15% YoY to $39 million. 

Management guided Q2 2026 revenue in the range of $715 million to $725 million, implying YoY growth of 44.1% and QoQ growth of 8.5% at the midpoint, beating guidance by a marginal 0.6%. It represents a sequential re-acceleration on a QoQ basis. Management did note that there was some geopolitical volatility in the backdrop, with some of its advertisers shortening spending cycles and shifting month to month now, though they expect little impact from this. 

For the full year 2026, consensus currently estimates revenue of $3.14 billion, implying 42.7% YoY growth — a figure that may be revised upward in light of the Q1 beat. 

Advertising Revenue Up 74% YoY 

Advertising revenue, which constitutes the vast majority of Reddit’s top line, was $625 million in Q1 2026, up 74% YoY and down (9%) QoQ. The sequential decline was due to seasonality. This represented the sixth consecutive quarter of 60% or above advertising revenue growth, demonstrating the resilience and compounding nature of Reddit’s ad monetization engine. 

Revenue growth in Q1 was driven by a combination of both impressions and pricing growth. The company’s investments in the ad stack, including machine learning for signal optimization and ad formats, combined with the go-to-market strategy are also delivering meaningful outcomes for advertisers and driving robust growth in new advertisers. 

In Q1, conversion-driven lower-funnel revenue remained a key area of strength, delivering triple-digit YoY growth. Performance-oriented revenue represented over 60% of total ad revenue in Q1, and was well balanced across verticals with strength in retail CPG, technology, and media & entertainment, with “significant headroom for growth.”  

ARPU Grew by 44%, a Slight Acceleration 

User monetization metrics continued their strong trajectory. Global ARPU reached $5.23, up 44% YoY and down (13%) QoQ (again, seasonally expected). U.S. ARPU was $9.63, up 54% YoY, while International ARPU was $2.02, up 51% YoY, reflecting the rapid scaling of Reddit’s international ad business. Overall, this marked a slight acceleration from 42% growth in global ARPU in Q4.  

Margins: Strong Gross Margins; Operating Leverage Delivering 

Reddit’s gross margins remained elevated in Q1 2026, with gross profit of $607.1 million representing a gross margin of 91.5%, relatively stable sequentially from 91.9% in Q4 2025 and expanding 90 basis points YoY from 90.6% in Q1 2025. This marks the sixth consecutive quarter of gross margins above 90%, confirming the structural strength of Reddit’s software-based business model. 

Operating margin was 27.6% in Q1 2026, with operating income of $182.9 million — down from 31.9% in Q4 2025 (reflecting seasonally lower Q1 revenue) but improved significantly from 1.0% in Q1 2025. This demonstrates powerful year-over-year operating leverage, with operating margin expanding 26.6 percentage points YoY. 

Net margin similarly expanded to 30.7%, up from 6.7% in Q1 2025, with net income of $204 million. For context, in Q2 2024 Reddit reported a net loss of ($10.1 million); the company has fully transitioned to consistent GAAP profitability over the past seven quarters. 

Q1 adjusted EBITDA grew by 130.7% YoY to $266 million and came in well ahead of the management guidance of $215 million. Adjusted EBITDA margin improved by 10.7 percentage points YoY to 40.1% and beat the guidance of 35.8%. Management has guided adjusted EBITDA margin of 40.3% in Q2, implying a YoY improvement of 6.9 percentage points.  

Reddit’s Rule of 40 score (revenue growth plus adjusted EBITDA margin) came in at 109% for Q1 2026, up from 91% in the same period last year and down from 115% in the previous quarter. 

EPS: 677% YoY Growth, Beats by 79.1% 

GAAP EPS for Q1 2026 was $1.01, beating consensus estimates of $0.56 by 79.1% primarily driven by strong operating leverage. It grew by 677% YoY from $0.13 in Q1 2025.  

Analysts expect GAAP EPS to grow by 83.8% YoY to $0.83 in Q2 and 42.5% YoY to $1.14 in Q3. 

Cash Flows and Balance Sheet 

Cash flows were extremely robust in Q1 2026 primarily driven by higher profits.  

  • Operating cash flow was $312.3 million, representing a 47.1% margin and up significantly from $127.6 million or 32.5% margin in Q1 2025.  
  • Free cash flow was $311.2 million for a 46.9% margin, compared to $126.6 million or 32.3% margin in Q1 2025 — nearly a 2.5x increase in free cash flow YoY. 
  • Reddit’s balance sheet remains fortress-like. The company exited Q1 2026 with $2.77 billion in cash and marketable securities, up from $2.48 billion at end of FY2025, and carries zero debt.  
  • Management noted that share repurchase activity was modest in Q1, with approximately 35,000 shares repurchased or $5.0 million worth of shares, leaving $995 million remaining on the $1 billion buyback authorization announced during Q4 2025 results. This authorization provides meaningful capital return flexibility as Reddit’s cash generation accelerates. 

Conclusion 

Reddit has strong fundamentals that are mixed come Q2 as the company approaches slower growth combined with dropping user metrics that Wall Street would prefer to have visibility into. There are typically many paths to growth when you own the data layer – whether it’s through Max, data licensing, or another avenue like adding Shopping ads to leverage its rich user data in the era of AI. 

There are two key things investors should know – the first is, we are in a period of speculation as to whether Reddit can re-accelerate its growth. Secondly, the valuation is already discounting the lower revenue growth (and then some). Therefore, how we play this stock will require technicals. It’s not the strongest stock in our portfolio, but it’s one of the cheapest combined with a strong, bottom line.

Damien Robbins, Equity Analyst at 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 RDDT at the time of writing and may own stocks pictured in the charts.

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AppLovin: Strong Fundamentals; Sentiment Remains a Hurdle

Posted on February 12, 2026June 30, 2026 by io-fund

AppLovin’s fundamentals remained strong in this earnings report, yet negative sentiment continues to build. There is no material evidence that market concerns are playing out, yet regardless, the market has a new set of concerns around AI-driven ad competitors, following previous concerns on short seller reports and SEC probes. 

Sticking to the facts, the company reported very strong growth of 66% YoY and 18% QoQ for revenue of $1.66 billion. On a sequential basis, AppLovin accelerated from 11.6% QoQ last quarter though YoY was down about 230 basis points. Looking into Q1, the company is guiding for growth of 6.2% QoQ on a higher revenue base of $1.66 billion compared to 16% QoQ growth in Q1 last year on a lower revenue base of $999.5 million. The Q1 revenue guide beat estimates by a solid 3.5%. 

Adjusted EBITDA margin of 84% was up 700 basis points from last year and up 200 basis points QoQ. This makes for a Rule of 40 of 150, which is higher than Palantir and Cloudflare.  

You will be hard pressed to find any issues with the earnings report, yet just as Applovin was beginning to overcome the negative spin from short sellers, a slew of AI-driven competitors launched recently. There were plenty of discussions around Applovin’s positioning, detailed for you below.

AppLovin is a Shark in Sharky Waters: 

By definition of being an ad platform, AppLovin is in sharky waters. There is far more competition among advertising platforms than what public investors may realize – the ecosystem is into the thousands 

However, AppLovin is top dog (or top shark) in many regards, especially when it comes to gaming for sure, and also when it comes to independent ad platforms. The weak price action as of late is because the waters have become more crowded.  

Here is what I had stated last quarter, noting the stock is not for the faint of heart: 

“AppLovin operates in shark-infested waters as one of the few companies over the past decade to challenge the walled gardens of Meta and Google. While the company’s fundamentals are exceptional, the presence of an SEC probe—discussed below—adds complexity, contributing to sharp swings in both directions.” 

There are three primary developments that complicate AppLovin’s moat, which the market is grappling with. I’ll go in order of least concerning. 

Google’s Project Genie 3 

Google recently announced Project Genie 3, which offers AI-driven automation for ads by relying on AI agents for campaign setup and optimizations. If we look more closely, Genie is more about workflow automation whereas Applovin emphasizes performance as it’s built on a very large data set of 1+ billion users. The end goal is fundamentally different as Project Genie offers automation of ad operations (so, reducing workforce is the most likely outcome) compared to Applovin’s Axon which is focused on marginal improvements in ad performance by continuously training models to optimize ROAS (return on ad spend) and LTV (lifetime value). 

Here is how it was described on the call: 

“But right now, we're seeing somewhere around day 30 LTV to cost of user acquisition. So if you think about lead gen models and if you know lead gen models and also if you understand the life of value that we create for advertisers, which is in the many years, to be able to break even on the media buy in 30 days is exceptional. We've got arguably one of the best business models the world has ever seen, and we're seeing the ability to market our platform and small testing at that level.” 

For reference, 30 days LTV to CAC (customer acquisition cost) is exceptional as many direct-to-consumer brands consider 3 months as ideal for fast growth and 6 months acceptable. 

CloudX: 

CloudX is a startup founded by an AI executive heavyweight who previously founded MoPub and MAX (which was later acquired by AppLovin). Rather than competing with Applovin on the demand/advertiser side, this newly launched startup is targeting the publisher/supply side.  

As it stands, Applovin works with the world’s largest gaming publishers and is adding e-commerce sites. Where CloudX hopes to attract those publishers is by offering AI agents to offload time-intensive busywork of integrating multiple software development kits (SDKs), mediation layers and custom bidding logic. This level of work represents entire teams on the engineering side, and also can quickly improve time-to-deployment for trying new ad products and demand partners.  

On the topic of demand partners, CloudX stated the following in their public announcement: “Four months ago, CloudX launched with three demand partners and a handful of publishers. Today, we're generally available with seven bidders: Meta, Unity, Liftoff, Magnite, InMobi, Mintegral, and Moloco. All competing in the same verified auction. At the same time, we’ve been hard at work adding the publisher features that our first batch of customers have been asking for. We put together a quick demo video to give you an idea of the power of our Monetization as Code and Agentic enabled approach.”Monetization as Code and Agentic enabled approach.” 

However, performance parity is not guaranteed as AppLovin has a formidable dataset – in fact, it’s likely the most attractive dataset outside of Big Tech with over 1 billion users. CloudX has a lot to prove, especially given AppLovin can provide a 30-day LTV to CAC.   

Here is what was stated about CloudX on the call: 

“So in a world where Cloud X becomes a start-up that comes into the space, you have to talk about like what are they walking into? How is the world different today versus what it was? The moat around our mediation is not because of the mediation. We're very good. We've got the most bid density. In any mediation A/B test, if you talk to publishers, you'll hear MAX does better. But we don't blow it out of the water. We're a few percentage points better than other mediations. If someone wanted to pay a bonus to cover that, they could potentially pay a bonus to cover that.  

Where it gets really expensive for the publisher and where we're really locked in is that we have the best advertising solutions on the market. In fact, for a lot of these publishers, we're over 50% of all their user acquisition spend. They can't go get that anywhere else. If they go off MAX, that decays. And so they're left in a world where they have the best buying tools. They have the best monetization tools. It becomes a really strong 360 solution and their growth depends on it.  

And then the MAX ecosystem is not growing slow, as we've talked about in prior calls, this is a double-digit, very strong growing category where these publishers are seeing their businesses improve because of the improvement in our technology. When you've got that in the foundation and you've got a really strong moat with technologies that no one else can replicate or have, then you end up with a sticky solution, and we're very confident our solution is just that.” 

Meta: 

The I/O Fund has been quite vocal about Meta’s strength among the Mag 7 given Advantage+ is reporting a $60 billion annual run rate. Conversely, the market is concerned that Meta’s capex-fueled push into AI-driven ad automation will breach Applovin’s moat.  There has not been a formal announcement that Meta is focused on gaming inventory or no-ID inventory, yet analysts are growing concerned this is inevitable given the company’s aggressive push to integrate more AI features into ad optimization and targeting.  

In November, Meta announced they had optimized campaigns for 29% higher return on ad spend (ROAS) compared to a 12% improvement earlier in the year. The press release stated, “the gaming sector shows particularly strong adoption” with many of the top global gaming studios commenting on the improvements.  

Meta received most of the analyst questions given they pose a more substantial threat in terms of data and budget for AI initiatives, plus more direct overlap given their Audience Network ad platform is aimed at attracting publishers. 

There were many questions about Meta, but this one was the most important, in my opinion: 

“Five years ago, when Meta was really big in the space, and I think this is what's throwing people off. People recall a time Meta was half the space. They think it's going to be half the space again. Meta has been on IDFA-based and Google ad ID-based traffic since that no IDFA change. Nothing has changed for them. What's changed in the marketplace is that the other ad platforms that are built for this category, Unity, Liftoff, Moloco, et cetera, have gotten better.  

Now we've got the best. AXON 2 was the biggest breakthrough in a model in this category period, and we were able to end up becoming the #1 by a lot. AXON 2 didn't exist five years ago. So there's no world where Meta is going to end up becoming that kind of a dominant player in the face of this competition. In fact, I don't see a world anyone else can because they're going up against that dominance. And these models, as they build more data, it's a closed-loop model that's continuously reinforcing itself and getting smarter. 

Our model is so far into getting smart for this niche. The niche isn't that small, and we've got such a strong position. It's highly unlikely that someone else is going to come in and materially disrupt it. So a long way of saying, again, no, we don't see what people are so afraid of. We think psychologically, people just index on numbers from five years ago and think, oh, Meta is going to ramp to that. But just ask the customers you talk to, what's the share of wallet between us to them and to everyone else on IDFA-based traffic, and that will give you an indicator of how good we are.” 

Financials 

By Royston Roche 

Q4 Revenue Growth of 66% 

AppLovin’s Q4 revenue grew by a stellar 65.9% YoY and 18% QoQ to $1.66 billion, beating estimates by 2.9%. The strong revenue growth was primarily driven by continued strength in the gaming advertising revenue, seasonal strength, and the contribution of e-commerce revenue. Management has guided Q1 revenue of $1.745 billion to $1.775 billion, implying a YoY growth of 51.9% YoY and 6.2% QoQ at the midpoint. The Q1 revenue guide beat estimates by a solid 3.5%. 

The company’s co-founder, Adam Foroughi, said in the earnings call, “Our performance, our business is executing extremely well. We continue to grow very quickly despite the numbers getting much bigger. We delivered strong growth in Q4. And despite typical seasonality where Q1 should be softer than Q4, we are guiding to meaningful sequential growth. That reflects both continued strength in gaming and the scaling of our e-commerce and our self-service customers.” 

Full year 2025 revenue grew by 70% YoY to $5.48 billion. Looking ahead, analysts expect revenue to grow 43.7% YoY to $7.87 billion in 2026 and 28.1% YoY to $10.08 billion in 2027. 

Q4 Operating Margin of 77% 

AppLovin’s margin expansion is truly outstanding, primarily driven by strong operating leverage. The company’s AI-powered advertising engine, AXON 2.0, launched in Q2 2023, serving as a game-changer that drove strong revenue and profits. 

  • Q4 gross profits grew by 74.3% YoY to $1.47 billion with a gross profit margin of 88.9%. The gross profit margin was up 420 basis points YoY and 130 basis points sequentially.  
  • Q4 operating income grew by 103% YoY to $1.275 billion, driven by solid operating leverage. The company’s operating margin improved by 1400 basis points YoY and 10 basis points sequentially to 76.9%.  
  • Q4 net income grew by 84.9% YoY to $1.10 billion. Net profit margin improved by 690 basis points YoY to 66.5%. 
  • Adjusted EBITDA grew by 81.7% YoY to $1.40 billion with an adjusted EBITDA margin of 84%, up by a solid 700 basis points YoY and 200 basis points sequentially. Management Q1 adjusted EBITDA guide is 84%, up 300 basis points YoY and flat QoQ. 
  • 2025 operating margin improved to 75.8%, from 59.3% in 2024. 
  • Net profit margin improved to 62.6%, from 49.3% in 2024. 
  • Adjusted EBITDA margin improved to 82%, from 75% in 2024. 

GAAP EPS grew by 88% YoY 

Q4 GAAP EPS grew by 88.4% YoY to $3.24 primarily driven by strong operating leverage. The EPS beat the analysts estimates by a solid 10.1%. Analysts expect strong growth to continue with Q1 EPS expected to grow by 97.9% YoY to $3.30 and Q2 EPS to grow by 49.2% YoY to $3.57. 

Looking ahead, analysts expect 2026 EPS to grow by 59.3% YoY to $15.53 and by 26.6% YoY to $19.65 in 2027. 

Q4 Free Cash Flow Grew by 88% 

The company has an exceptionally strong cash flow margin profile, primarily driven by strong profits.   

  • Q4 operating cash flows grew by 87.4% YoY to $1.314 billion with a margin of 79.2%, up 910 basis points YoY. 
  • Q4 free cash flows grew by 88.3% YoY to $1.31 billion with a margin of 79%, up 1370 basis points YoY. 
  • The company’s cash improved to $2.49 billion, up from $1.67 billion at the end of the previous quarter. While debt remained the same at $3.51 billion.   
  • The company repurchased and withheld 800,000 shares, valued at $482 million. For the full year, the company repurchased about 6.4 million shares for $2.58 billion, funded entirely by free cash flows. Over the last four quarters, the company reduced the outstanding shares from 346 million in Q4 2024 to 340 million. The remaining share repurchase authorization is $3.28 billion at the end of Q4 2025. 

Conclusion: 

In terms of number of competitors, Applovin operates in the sharkiest arena across the tech sector. Concerns around Meta, CloudX and IDFA dynamics are narratives that are not showing up in the fundamentals. What Applovin offers is performance at scale and a real data advantage that only Meta can rival. Even with Meta rivaling Applovin across many publishers, Applovin contends they have the gaming category cornered and are now expanding into e-commerce. The most likely end result is that most publishers will use both. 

In the Top 15 report, I led with the cautionary sentence that “AppLovin is a stock that needs a strong technical analysis overlay” as App’s fundamentals argue there is real staying power, but the stock will continue to demand patience and disciplined timing.

Royston Roche, Equity Analyst at 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 APP at the time of writing and may own stocks pictured in the charts.

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  • The I/O Fund’s Top 15 Stocks for Q1 2026
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Posted in AI Stocks, SoftwareLeave a Comment on AppLovin: Strong Fundamentals; Sentiment Remains a Hurdle

Reddit Q4: Unwavering Fundamentals; Change in User Reporting Metrics

Posted on February 6, 2026June 30, 2026 by io-fund

Reddit reported revenue of $725.6M for 70% YoY growth and 24.1% QoQ growth, which reflects seasonality from the holiday quarter. When comparing to last year's Q4, the company reported 130 basis points higher growth on a QoQ basis – no small feat given the tough comps the company is lapping with six quarters of 60%+ growth.  

The bottom-line shines with this stock as adjusted EBITDA was 45.1%, up from 36.1% in the year ago quarter. The GAAP operating margin of 31.9% has expanded sizably from the 12.4% margin reported last year for operating income of $232M. The free cash flow margin is 36.3%, leading the company to announce $1 billion in share repurchases.  

Although many investors consider Reddit niche compared to larger sites like Facebook or Google, the key metrics steadily move up on this audience of roughly 500 million monthly users and 120 million daily users. Global average revenue per user (ARPU) grew 42% YoY, up from 23% YoY growth in Q4 of last year. Advertising revenue also accelerated to 75% growth compared to 60% last year. 

Despite the strong report, the stock price has been slightly volatile. Management guided for a deceleration to 52.9% YoY growth, which leaves the market wondering if there is a catalyst in Reddit’s future. On the call, management pointed out they’ve guided conservatively for a few quarters now and discussed a new initiative to onboard advertisers at the bottom of the funnel with their AI-powered MAX platform. Another reason is that the company will no longer report logged-in users separately from logged-out users. This has been a point of contention for the Street for some time, which we covered in our previous analysis. 

That said, stocks with unwavering fundamentals with 50%-60% growth on the top line and 100%+ growth on the bottom line have a way of being mispriced quickly during periods of uncertainty. Consider that Reddit offers a Rule of 40 (revenue growth plus adjusted EBITDA margin) of 115 compared to Palantir’s Rule of 40 (revenue growth plus adjusted operating margin) of 127. Reddit’s rule of 40 is up 7 percentage points sequentially and 8 percentage points YoY. As of now, Reddit’s sales valuation is at April lows whereas this quarter’s results challenge the market’s overly cautious stance. 

Change in User Reporting Metrics 

In our coverage of Reddit’s Q3 results, I stated: “Reddit’s report was not a Perfect 10 – it was more like a 9 out of 10. First, the logged-out user growth is outpacing the logged-in user growth, which will take some getting used to for Street analysts as they often imply in the Q&A that logged-out users don’t monetize as well.” 

This has been a point of contention as the Street models logged-out users monetize at a lower rate, and yet Reddit is growing their logged-out users faster than logged-in users. This past quarter, global logged-in users grew 10% YoY compared to global logged-out users growing 27% YoY. 

In the call this evening, Reddit announced plans to drop this key metric and will instead report users as one number starting in Q3: “As a result, we are updating our disclosures starting in the second half of 2026 to better reflect the metrics we use to run the business and evaluate our operating performance as we scale. Specifically, starting with Q3 2026 disclosures, we’ll continue to report the U.S. and international DAUQ and WAUQ numbers as we’ve done historically, but we will no longer report logged in and logged out metrics. Between now and Q3, we will continue to report logged in and logged out metrics for the first two quarters of 2026.” 

Given Reddit has been able to put up strong top line numbers regardless of logged-in/logged-out, the concern may be exaggerated. However, dropping a key metric typically results in volatility after hours. 

Potential Catalysts: Reddit Max and Google/Open AI Partnerships 

At CES, Reddit announced the public beta launch of Reddit Max campaigns, which is an AI-powered campaign platform to help advertisers leverage Reddit’s data. The result is better targeting with management stating MAX campaigns saw 17% lower cost per acquisition (CPA) and 27% lift in conversion volume. 

Reddit has always monetized through advertising, but Reddit Max marks a shift from primarily brand and contextual ads toward AI-driven, automated performance advertising that can increase the number of advertisers that Reddit onboards.  

Although early, this could put Reddit on the map for using its personalized data to compete for ad dollars in performance advertising. Should it prove successful, this would also be a strong motivating factor for Reddit to drop the logged-in/logged-out user metric given users will see the performance ads regardless of logged-in status. Most importantly, these ads monetize at a higher rate than brand ads. 

Here is what was stated on the call: “We plan to use Reddit Max as a foundation to streamline advertiser onboarding, particularly for smaller customers, and enable them to leverage the AI-powered tools and automation to simplify campaign creation from setup to creative, and augment performance from optimization to campaign insights. And through 2026, we plan to expand access and build automation that leverages Reddit’s 24 billion posts and comments, turning them into powerful signals to drive further improvements in ad performance.” 

The obligatory question on Google and Open AI was touched on during the Q&A with management stating the partnerships are intact: 

Steve Huffman, Co-founder and CEO, Reddit:  

So on the AI deals, really our partnerships with Google and OpenAI, I think we can see the growing importance of Reddit. Reddit, per Profound, is the number one, cited source in AI answers. Our relationships with both companies are very healthy. The conversation is shifting from, you know, a purely business deal to, you know, more of a product partnership. And so, you know, I think the exchange will be, we help you build the best version of your products, and you help us build the best version of our products […]” 

Financials 

By Royston Roche 

Strong Q4 Revenue Growth of 70% 

Reddit once again reported stellar revenue growth of 69.7% YoY and 24.1% QoQ to $725.6 million. Revenue growth has been more than 60% for the sixth consecutive quarter. The company’s revenue beat estimates by a solid 8.8% and was better than last quarter’s beat of 6.4%. The strong revenue growth was primarily driven by 75% YoY growth in the advertising revenue to $690 million. While its other revenue, which includes licensing deals with Google and OpenAI, rose by a modest 8% YoY to $36 million. Regionally, U.S. revenue grew 68% and international revenue grew 78% YoY. 

Management guided Q1 revenue of $595M to $605M, implying a YoY growth of 52.9% YoY and down (17.3%) QoQ. The company’s Q1 guide beat the analysts estimates by 4% and was also stronger than last quarter’s beat of 3.5%. Analysts expect Q2 revenue to grow 38.2% YoY and Q3 revenue to grow 36.3% YoY to $797.4 million.  

Full year 2025 revenue grew by 69.4% YoY to $2.20 billion. Looking ahead, analysts expect 2026 revenue to grow by 41.8% YoY to $3.12 billion and 2027 revenue to grow by 25.7% YoY to $3.93 billion. 

Q4 Advertising Revenue Growth of 75% 

Q4 advertising revenue grew by 75% YoY to $690 million, accelerating from 74% growth in the previous quarter. Management attributed to impression growth as the main driver of revenue growth as the company’s AI investments are driving efficiency for advertisers delivering more outcomes and lower cost per action. Since last year, enhancements to the shopping ad ML models delivered over 75% improvement in advertisers return on investment. 

In Q4, click volume in the mid-funnel grew over 60% and lower funnel conversion volume doubled YoY. The company’s shopping solution, Dynamic Product Ads or DPA, emerged as a lower funnel driver in Q4, fueled by strong performance during the Black Friday and Cyber Monday period.  

The company’s active advertisers grew by 75% YoY in Q4 and Reddit added new customers across its channels, including large, mid-market and SMBs. The company also witnessed broad strength across verticals. 11 out of the top 15 verticals grew revenue by 50% or more YoY, led by retail, pharma, financial services and tech. 

ARPU Grew by 42% 

The company’s average revenue per user (ARPU) grew by 42% YoY and 19% QoQ to $5.98. ARPU growth accelerated from 41% YoY and 11% sequential growth in the previous quarter.  

The US ARPU grew by 53% YoY to $10.79. Although it slightly decelerated from 54% YoY growth in Q3, on a sequential basis it accelerated to 19% growth from 15% QoQ in the previous quarter. 

International ARPU grew by 38% YoY to $2.31 in Q4 compared to 39% growth in the previous quarter. While sequential growth strongly accelerated to 26% growth from 6% QoQ in Q3.

The company’s Daily Active Uniques (DAUq) are witnessing strong international growth. The Daily Active Uniques (DAUq) global grew by 19% YoY and 5% QoQ to 121.4 million, a similar growth rate in the previous quarter. The US DAUq grew by 9% YoY to 52.5 million in Q4, accelerating from 7% growth in Q3. While the international DAUq grew by 28% YoY to 68.9 million, decelerating from 31% growth in the previous quarter. 

The company’s Weekly Active Uniques (WAUq) grew by 24% YoY and 6% QoQ to 471.6 million in Q4, accelerating 3 percentage points on a YoY basis growth from 21% and 7% QoQ growth in the previous quarter. International growth outpaced US growth as it grew by 34% YoY to 278.2 million, while the US grew by 12% YoY to 193.4 million.

Q4 Operating Margins Expand 19.5% YoY 

The company is experiencing strong profit growth, primarily driven by operating leverage.   

  • Q4 gross profits grew by 68.5% YoY to $666.9 million with a gross margin of 91.9%. The gross margin was down 70 basis points YoY and up 90 basis points YoY. The company reported its sixth consecutive quarter of above 90% gross margins. 
  • The company’s operating income significantly improved to $231.8 million compared to $52.9 million in the same period last year. Operating margin improved by 19.5 percentage points YoY and 8.2 percentage points sequentially to 31.9% primarily driven by strong operating leverage. 
  • Q4 net income grew by 254.4% YoY to $251.6 million. Net profit margin improved by 18.1 percentage points YoY and 6.9 percentage points sequentially to 34.7%. 

Full year 2025 gross margin improved to 91.2% from 90.5% in 2024. Operating margin improved to 20.1% from (43.1%) in 2024, driven by operating leverage and the company had higher IPO related expenses in 2024. 

Q4 GAAP EPS grew by 244% 

Q4 GAAP EPS grew by 244.4% YoY and 55% QoQ to $1.24, beating estimates by a solid 33.1%. Analysts expect EPS to grow by 286.6% YoY to $0.50 in Q1 and 86% YoY to $0.84 in Q2. Looking ahead, analysts expect 2026 EPS to grow by 54.9% YoY to $4.06 and 37.1% YoY to $5.56 in 2027.

Q4 adjusted EBITDA grew by 112% YoY to $327 million with an adjusted EBITDA margin of 45.1%, beating the management guidance of 42.4%. Adjusted EBITDA margin improved by 9 percentage points YoY and 4.8 percentage points sequentially.  

Management has guided Q1 adjusted EBITDA margin of 35.8%, down 9.3 percentage points sequentially and up 6.4 percentage points YoY.

Cash Flow and Balance Sheet 

Reddit reported strong cash flows primarily driven by record profits. The company’s balance sheet is robust, providing financial flexibility to invest in future growth and support share repurchases.  

  • Q4 operating cash flows grew by 196.5% YoY to $266.8 million with an operating cash flow margin of 36.8%, up 15.8 percentage points YoY. 
  • Q4 free cash flows grew by 195.7% YoY to $263.6 million with a free cash flow margin of 36.3%, up 15.5 percentage points YoY. 
  • The company has cash and marketable securities of $2.48 billion with no debt and cash increased by $250 million sequentially. 
  • The company also announced a $1 billion share repurchase program, further reflecting management’s confidence in sustained profit generation. Looking ahead, the company will continue to prioritize investing in the core business first; next, it will look for merger and acquisition opportunities; third, it will repurchase shares; and target keeping over $1 billion in cash on the balance sheet. 

Conclusion: 

Reddit’s Q4 illustrates a business that can put up strong growth that disproportionately flows down to the bottom line. Revenue growth of 70% year over year, accelerating advertising performance, and a sharp inflection in margins point to a platform that has moved well beyond the early stages of monetization. 

We are keeping an eye on AI-powered initiatives like Reddit Max and LLM-based search traffic as two ways Reddit can increase ad spent and user engagement. Lastly, the valuation is very attractive and that is a key part to the equation.

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

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Posted in AI Stocks, SoftwareLeave a Comment on Reddit Q4: Unwavering Fundamentals; Change in User Reporting Metrics

Reddit Q3: Setting a High Bar with Top Line Strength and 10-point Sequential Margin Expansion 

Posted on October 31, 2025June 30, 2026 by io-fund

Reddit’s earnings report ticked a lot of boxes. The company beat on the top line with growth of 68% YoY and 17% QoQ. The bottom line was also strong with a 10-point sequential expansion in GAAP operating margin to 23.7%, an adjusted EBITDA margin above 40%, and EPS grew 400% YoY. It’s easy to see why this stock ranked very high on my Top 15 list – in fact, it was my top software choice due to the clean fundamentals.  

Reddit represents monetization momentum in the AI era as its data is highly valuable for training LLMs. There is something far more important that Reddit provides in the AI era than simply a forum; rather Reddit offers a continuous supply of human-generated conversations. What was once a forum is now a wealth of opinions and loads of sentiment that AI models desperately need to produce more natural and sentient-sounding responses. In fact, about a week ago, Reddit announced they are suing companies like Perplexity and Anthropic for scraping their site.  

In exchange for data, Reddit ranks high on Google Search and in AI search results from Open AI, as well. This has helped Reddit move from #85 ranked site to #2 when we last covered the stock. Management stated they are currently ranked #3 this month: “Today, Reddit is the #3 most visited site in the U.S. for Semrush October 2025. That puts us in a rare company. YouTube is #2 and Amazon is #4.” The increased search ranking helped Reddit grow both their daily active users (DAUq) and weekly active users (WAUq) at a rate of 20% YoY.  

With that said, Reddit’s report was not a Perfect 10 – it was more like a 9 out of 10. First, the logged-out user growth is outpacing the logged-in user growth, which will take some getting used to for Street analysts as they often imply in the Q&A that logged-out users don’t monetize as well.  

Second, Reddit has put up some strong post-IPO growth rates with five quarters above 60% growth, yet management guided for 54% revenue growth next quarter and analysts see Reddit dipping below 40% growth two quarters out. We will want to watch this closely as IPOs are known for coming strong out of the gate. As stated in the Top 15 report, every stock must prove it belongs in our portfolio. Therefore, Reddit will need to prove to us that it can maintain a healthy growth rate to hold its spot. There are some strong tailwinds, yet accelerating revenue in the near future will be key for this stock. 

Reddit’s Future Growth Opportunities – Search and More 

A study by Profound from August 2024 to June 2025 of 30 million citations across ChatGPT, Google AI Overviews, and Perplexity revealed that the latter two frequently cited Reddit, while ChatGPT primarily cited Wikipedia. Reddit was the top citation for Google’s AI Overviews at 21% and for Perplexity at 46.7%, while at ChatGPT, Reddit was the second most cited source at 11.3%, far behind Wikipedia at 47.9%.  

However, per Promptwatch, Reddit’s share of citations on ChatGPT fell from ~14% in early September down to 2-4%. As of mid-October, Reddit remained the most frequently cited social platform at 3.3%, slightly behind Profound’s data showing 3.8%.  

Source: Promptwatch 

Overall, the vast treasure trove of Reddit’s user-generated, opinionated content backed by structed engagement data is increasingly valuable to LLMs, as Reddit executives explained at the Zero Click Summit in October. This could lead to more lucrative licensing deals in the future. 

Management implied Q4 is looking strong so far on growth trends: “Looking into Q4, we exited Q3 higher than our average. So we have a head start. Beyond that, we're going to see how the quarter plays out.” 

There was also discussion on the call about reducing friction as Reddit’s onboarding is fairly clunky and invasive in terms of accessing content a user wants to see: “But today, it's behind a couple of screens of interrogation before you actually get to see it. And so really streamlining that or even removing it are the things that we're putting in the test shortly and making sure users are landing on speeds that are relevant to them.”  

Later, it was discussed that knowing personal information on a user may not necessarily lead to a higher path of monetization for Reddit, which leaves an important clue as to how Reddit could spark future growth – from what I gather, removing the need to be logged in could be Reddit’s next step to driving more growth: “And finally, I think your third question was capturing identity of logged out users. Look, all of Reddit is really built around this idea of connecting users with their interests. So not necessarily what or who they are, but what they're into on Reddit. And so that's how we're different than some other platforms. We don't need to know who you are or necessarily even how old you are or other demographics because we look at your explicit interest on Reddit, right? Are you part of the skiing community, you're probably in the outdoor stuff. Are you coming from a parenting blog, you're probably a parent. And so that's generally how we think about it. And I think it's a little bit of a different model, but I think it's better for user privacy, and we can target on, I think, a unique but really powerful dimension.” 

Reddit’s Web Rankings, Engagement Remain Solid Since Q2 

As a brief recap, Reddit was the 2nd most visible site August, behind Wikipedia, and ahead of popular sites such as Facebook in 7th, Amazon in 4th, and even YouTube in 3rd. In October, Reddit’s web rankings continue to remain strong, with Sistrix placing it as the third most visible site as of October 30, with YouTube taking the 2nd place spot.  

In terms of user engagement, Reddit notched 3.8 billion visits in September, down (5.4%) MoM after rising 1.5% MoM in August, per Similarweb, slightly underperforming Facebook, which saw monthly visits decline (4.7%) MoM to 11.4 billion. In the US, Reddit’s web traffic was estimated to be down (5.8%) MoM in September, versus (5.1%) for Facebook. Similarweb places Reddit as the fifth-most visited site in the US, behind Facebook in fourth place.  

However, it’s important to remember that this is a factor that’s entirely out of Reddit’s control as algorithms and rankings could change anytime. 

Reddit Sues Perplexity for ‘Illegal’ Data Scraping 

Despite being Perplexity’s preferred source for AI searches, Reddit sued the startup in early October, claiming it was scraping data from Reddit without permission to train its AI responses. Reddit claims that it created a “test post” that was only visible to Google’s crawler, but “within hours”, Perplexity’s queries contained contents of the post, suggesting Perplexity or its three data scraping partners scraped Google and then incorporated that data into its engine. 

Rumors of New Data Licensing Pricing with Google, OpenAI 

In mid-September, it was rumored that Reddit was exploring new data licensing deals with Google and OpenAI, with company executives believing current terms with fixed pay do not accurately reflect the value Reddit brings to AI answers, tying in to its high share in AI citations.  

Instead, the company is rumored to be seeking a dynamic pricing model “where pay would be determined by how useful or important content is to the answers generated by AI tools.” This could provide more upside to Reddit’s data licensing side, which currently accounts for 6% of revenue in Q3, considering how frequently it is cited in AI Overviews and on ChatGPT. 

Most importantly, the revenue contribution from Reddit’s partnership with Google is not reported in a linear fashion. During the call, an analyst noted that roughly half of Reddit’s traffic is direct, while half comes from Google. Management confirmed the 50/50 split is “approximate, but pretty close.” This means Reddit is receiving an additional benefit from Google that isn’t fully visible within the data licensing revenue line item – rather, it’s mainly visible in the strong advertising growth from the traffic Google is sending to Reddit. Overall, the true impact of Reddit’s partnership with Google is hard to quantify.  

Strong Q3 Revenue Growth of 68% 

Reddit once again reported stellar revenue growth of 67.9% YoY and 17.1% QoQ to $584.9 million. Revenue growth was more than 60% for the fifth consecutive quarter. The company’s Q3 revenue beat the analyst’s estimates by 6.4%. The strong growth was primarily driven by 74% YoY growth in the advertising revenue to $549 million. While its other revenues, which include licensing deals with Google and OpenAI, rose by a modest 7% YoY to $36 million. Regionally, revenue grew 67% and 74% YoY in the US and internationally, respectively. 

The company has also guided strong Q4 guidance in the range of $655 million to $665 million, representing a YoY growth of 54.3% YoY and 12.8% QoQ. The company’s Q4 guide beat the analysts’ estimates by 3.5%. Analysts expect revenue to grow 42% YoY in Q1 and 34.8% YoY in Q2 to $673.6 million. 

The co-founder and CEO, Steven Huffman, highlighted during the earnings call that Reddit is the #3 most visited site in the U.S. per Semrush, October 2025. The company is also making strong progress across the 3 focus areas they shared last quarter: core product, search, and internationalization. 

The company has redesigned the website with a more modern, search-forward interface and streamlined onboarding, making it easier for new users to find what they're looking for. This is achieved through a dynamic, personalized home feed, along with the incorporation of AI tools.  The company also continues to enhance search results to make Reddit a go-to search destination. Third, international growth continues to accelerate, and AI-powered machine translation is now available in 30 languages, serving as a major driver of top-of-funnel growth outside the U.S.   

Looking forward, analysts expect revenue to grow 35.8% YoY to $2.83 billion in 2026 and 29% YoY growth to $3.65 billion in 2027. 

Advertising Revenue Growth of 74% 

The Q3 advertising revenue grew by 74% YoY to $549 million, primarily driven by broad-based strength across the business as the company continues to expand existing relationships, acquire new customers and diversify its advertising base. The total active advertising customers grew by over a solid 75% YoY as the company added new accounts across businesses, including large mid-market and SMB businesses.  

The company’s AI-optimized ad platform continues to drive strong growth in the second half of the year. The strong advertising revenue growth is a direct result of Reddit’s ongoing investments in AI ad models and formats, which drive greater performance and efficiency, leading to better ROI for advertisers.  

The company continued to optimize the models for lower-funnel objectives, including app installs and conversions. The ML-driven optimizations in the lower-funnel conversion objective improved performance by over 20%. To strengthen the lower-funnel strategy, it continues to make it easier for businesses of all sizes to adopt the measurement tools, including Pixel and conversions API (CAPI). In Q3, CAPI-covered conversion revenue tripled year-over-year. 

For the upper funnel, the company launched the beta of auto bidding, which simplifies budget management and improves efficiency, leading to over 15% more impressions and lower pricing for advertisers. In the middle and lower funnel, auto targeting is delivering strong results, and adoption is growing over 50% year-over-year. 

ARPU grows by 41% 

The company’s Q3 Average revenue per user (ARPU) grew by 41% YoY to $5.04. Management believes that this is still low on an absolute basis and remains an opportunity for the company. Though growth has decelerated from 47% reported in Q2 due to tough comps, it was up 11% on a sequential basis. 

The US ARPU grew by 54% YoY to $9.04, a 5-point deceleration from a strong 59% YoY growth in Q2. However, it grew by 15% sequentially. 

The International ARPU grew by 39% YoY to $1.84, a slight deceleration from the 40% growth reported in Q2 and was up 6% sequentially.

The company’s Daily Active Uniques (DAUq) are witnessing strong international growth. The Daily Active Uniques (DAUq) global grew by 19% YoY to 116 million. While US growth is stabilizing as it grew by 7% YoY to 51.6 million, it showed a sequential growth of 3%, while it was flat in Q2. The international DAUq growth was solid as it was up 31% YoY to 64.4 million.   

The company’s Weekly Active Uniques (WAUq) grew by 21% YoY to 443.8 million. International growth outpaced US growth as it grew by 37% YoY to 256 million, while the US grew by 6% YoY to 187.8 million. 

Operating Margins Expand 21.7% YoY 

The company is experiencing strong profit growth, primarily driven by operating leverage.  

  • Q3 gross profits grew by 69.7% YoY to $532.4 million with a gross margin of 91%. The gross margin is up 90 basis points YoY and up 20 basis points sequentially. The company reported its fifth consecutive quarter of above 90% gross margins. 
  • Operating income was $138.5 million compared to a mere $6.9 million in the same period last year. Operating margin improved by 21.7 percentage points YoY and 10.1 percentage points sequentially to 23.7%, primarily driven by operating leverage. 
  • Net income grew by 444% YoY and up 82.1% QoQ to $162.6 million. Net profit margin improved by 19.2 percentage points YoY and 9.9 percentage points sequentially to 27.8%. 

EPS grew by 400% 

The company’s Q3 GAAP EPS grew by 400% YoY and 78% sequentially to $0.80, beating analyst estimates by a solid 53.8%. Analysts expect EPS to grow 119.6% YoY to $0.79 in Q4 and 226.7% YoY growth to $0.42 in Q1 2026. Looking forward, they expect EPS to grow 76.3% YoY to $3.35 in 2026 and 39.9% YoY to $4.69 in 2027. 

Q3 adjusted EBITDA grew by 151% YoY to $236 million. Adjusted EBITDA margin improved by 13.3 percentage points YoY and 6.9 percentage points sequentially to 40.3%, beating the management guidance by 5.1 percentage points. 

Management has guided Q4 adjusted EBITDA in the range of $275 million to $285 million, representing a YoY growth of 81.5% at the midpoint. Adjusted EBITDA margin guide for Q4 is 42.4%, which represents a YoY increase of 6.3 percentage points.

Cash Flow and Balance Sheet 

The company reported strong cash flows primarily driven by record profits.  

  • Q3 operating cash flows grew by 158.6% YoY to $185.16 million with an operating cash flow margin of 31.7%, up 11.1 percentage points YoY. 
  • Q3 free cash flows grew by 160.5% YoY to $183.1 million, with a free cash flow margin of 31.3%, up 11.1 percentage points YoY. The company generated $510 million in free cash flows in the last twelve months. 
  • The company has a strong balance sheet of $2.23 billion in cash and no debt. The cash increased by $170 million sequentially. 

Conclusion: 

The true impact of Reddit’s partnership with Google is hard to exactly quantify given it’s more about the traffic Reddit receives than the licensing revenue – however, web rankings help support that Reddit has officially arrived in the AI era. The primary reason that Reddit could remain in a leading position longer than one might imagine is the uniqueness of the data. As the COO stated: “I think Reddit's corpus of information is clearly incredibly valuable and helpful to LLMs because it's human conversation that's fresh, it's authentic. It's just distinctive. There's nothing like it.” 

Reddit delivered one of the strongest prints of the season so far: a top-line and bottom-line beat, nearly 10-point margin expansion sequentially, cash flow margins above 30%, ARPU up 41% YoY, and revenue increasing 17% QoQ. Although Reddit reported early in the earnings season, the company has set a remarkably high bar — one that very few tech companies will be able to keep up with as more earnings results continue to roll in.

I/O Fund Equity Analysts Damien Robbins and Royston Roche contributed to this analysis. 

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

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Posted in AI Stocks, SoftwareLeave a Comment on Reddit Q3: Setting a High Bar with Top Line Strength and 10-point Sequential Margin Expansion 

Highlights from Google I/O 2023

Posted on May 18, 2023June 30, 2026 by io-fund

Google recently held its annual developer conference Google I/O 2023. Google is a large real estate owner with arguably more data than any other tech company in the world. This advantage cannot be overstated when it comes to training large language models (LLMs). In addition to having a strategic advantage for future development of LLMs with data, Google can offer advertisers instant ROI.

The primary announcements from the event were:

  • Google drops the waitlist for Bard and announces new features.
  • Google launches new Large Language Model, PaLM2
  • Unveils its new AI-powered Search.
  • Google Cloud announces new A3 supercomputer VMs built to power LLMs.

Google drops the waitlist for Bard and announces new features

Among the more exciting announcements at Google I/O, the company dropped the waitlist for Bard and the chatbot is now available in 180 countries and territories. Bard supports English, Japanese, & Korean languages, and will soon support more than 40 languages. Google is also rolling out features such as better source citations, the ability to export content generated in Gmail and Google Docs, support for more visuals and an upcoming Google Lens integration to analyze pictures and write captions.

Background on Google’s Bard:

Earlier this year, Google’s stock (Alphabet) tumbled 7% when chatbot Bard was unable to complete a search with 100% accuracy. During the demonstration, Bard returned incorrect information about which telescope was the first to take pictures of a planet outside the Earth’s solar system. This was a minor mistake given how far large language models and generative AI has come, rather it was the timing that was a bit flawed as OpenAI’s ChatGPT, the chatbot powering competitor Microsoft Bing, had been dominating headlines since its November 30th launch.

Microsoft, being an opportunist, took it a step further and announced Bing would now be powered by a faster and more accurate version of GPT-3.5 one day after Bard’s failed demonstration: “We’re excited to announce the new Bing is running on a new, next-generation OpenAI large language model that is more powerful than ChatGPT and customized specifically for search. It takes key learnings and advancements from ChatGPT and GPT-3.5 – and it is even faster, more accurate and more capable.”

Both companies have been preparing for this moment for many years. Microsoft invested $1 billion into OpenAI a few years ago with a new $10 billion round announced last month. Meanwhile, Google acquired DeepMind in 2014. Google also previously developed conversational neural language models such as LaMDA, which is used by Google’s Bard for its conversational AI technology.

Despite the mishap with Bard, it would be a human-generated mistake to think Alphabet does not command a place of leadership right now in generative AI. Alphabet was one of the first tech companies to focus and invest on AI and natural language processing (NLP). We pointed out to our premium research members in July of 2022 that ChatGPT is based on transformer architecture that Google initially introduced in 2017 when we said:

“Transformers are becoming one of the most popular neural-network models by applying self-attention to detect how data elements in a series influence and depend on one another.

Sequential text, images and video data are used for self-supervised learning and pattern recognition, which results in more data being used to create better models. Prior to transformer models, labeled datasets had to be used to train neural networks.

Transformer models eliminate this need by finding patterns between elements mathematically, which substantially opens up what datasets can be used and how quickly.

Google first introduced transformer models in 2017 and transformers are used in Google and Bing Search. Transformers also led to BERT models, which stands for Bidirectional Encoder Representations from Transformers, and is commonly used for text sequences. Transformers are also used in GPT-3 (it’s the T in GPT) which improved from 1.5 billion parameters to 175 billion parameters. GPT-3 has the ability to report on queries it has not been specifically trained on.”

Earlier this month, Google’s CEO, Sundar Pichai, gently reminded the AI community of how cutting edge Google’s research is when he stated, “Transformer research project and our field-defining paper in 2017, as well as our important advances in diffusion models, are now the basis of many of the generative AI applications you're starting to see today.”

BERT was designed to help Google better understand search intent, as despite billions of searches every day, about 15% of those searches are for brand new terms. This prompted Google engineers to develop a model that could self-learn.

The result is that searches results are more accurate by taking into consideration the nuances of language.

Google launches new Large Language Model, PaLM2

Google launched a new Large Language Model, PaLM2, that will power the updated Bard AI chat tool and more than 25 other new products & features including productivity software (Gmail, Google Docs), Healthcare and Security.  

PaLM 2 has the following capabilities:

  • Multilingual: The LLM is trained on more than 100 languages, which increases language proficiency
  • Reasoning: The LLM’s dataset has improved logic, common sense reasoning and mathematics
  • Coding: The LLM can generate code including programing languages such as Python, JavaScript and specialized languages such as Prolog, Fortran and Verilog.

Google Unveils its new AI-powered Search

The company has unveiled its new generative AI-powered search that will be subject to a waitlist. Google cites the example of the following search “what's better for a family with kids under 3 and a dog, bryce canyon or arches.” Previously, you had to break the question down into smaller ones, sort through the vast information available, and then put things together yourself. Now with generative AI, search will be able to better understand the question.

Generative AI will also provide a better experience for online shopping by instantly getting relevant information like reviews, images, and ratings. The new shopping experience is based on Google’s Shopping Graph, which has more than 35 billion product listings.

The company announced the ‘About this image’ feature, allowing users to identify fake images. It mentioned in its press release, “When the image and similar images were first indexed by Google, Where it may have first appeared, and Where else it’s been seen online (like on news, social, or fact checking sites)”.

Google launches new Large Language Model, PaLM2

The company launched the new Large Language Model, PaLM2, that will power the updated Bard AI chat tool and more than 25 other new products & features announced during the Google I/O 2023.

Its predecessor PaLM, launched in April 2022, was a 540 billion based parameter, and the company did not provide this detail for PaLM2. PaLM stands for Pathways Language Model. “What we found in our work is that it’s not really the sort of size of model — that the larger is not always better,” DeepMind VP Zoubin Ghahramani said in a press briefing ahead of the announcement. “That’s why we’ve provided a family of models of different sizes. We think that actually parameter count is not really a useful way of thinking about the capabilities of models and capabilities are really to be judged by people using the models and finding out whether they’re useful in the tests that they try to achieve with these models.”

PaLM2 is faster and more efficient than previous models. Some of the improvements highlighted by the company are that PaLM2 is trained for improved multilingual text, spanning over 100 languages, reasoning, and coding, including popular languages like Python & JavaScript. For example, due to the multilingual capabilities of PaLM2, it has helped Bard to expand to new languages. PaLM2 is available in four sizes: Gecko, the smallest, followed by Otter, Bison, and Unicorn. Other use cases include improved Workspace features while working in Gmail, Google Docs, and Google Sheets. PaLM2 can also be used for enterprise use cases like Med-PaLM2 in medical research and Sec-PaLM in cybersecurity.

The company also said that it’s working on a more powerful model called Gemini and it will also be available in various sizes so that it can be easily deployed to various products.

Google Cloud announces new A3 supercomputer VMs built to power LLMs

Google Cloud announced the A3 GPU supercomputer that can be used to train and run Artificial Intelligence and Machine Learning models. While the A3 GPU supercomputer is on a private preview waitlist, the previously announced G2 VMs are now in general availability. The G2 VMs are powered by the new Nvidia L4 Tensor Core GPUs. The company said that it is the first cloud provider to offer these new GPUs for serving generative AI workloads.

The A3 GPU VMs are made of eight Nvidia H100 Hopper architecture GPUs, 3.6 TB/s bisectional bandwidth between A3’s 8 GPUs via the Nvidia NVSwitch and NVLink 4.0, 4th Gen Intel Xeon Scalable processors, and 2TB of host memory.

The A3 supercomputer can deliver up to 26 exaFlops of AI performance, thereby improving the time and cost of training large machine learning models. The A3 workloads will be run on Google’s Jupiter data center networking fabric which the company states “scales to tens of thousands of highly interconnected GPUs and allows for full-bandwidth reconfigurable optical links that can adjust the topology on demand.”

Conclusion:

I would not be surprised if we exit 2023 with a reimagined way to use Search Engines. The iteration cycle here is likely to move quickly compared to AVs or the Metaverse, as there are real-world applications where AI can be applied without safety issues (AVs) or friction in terms of user adoption (Metaverse/VR headsets). Instead, the scale has already been built with Search being a viral, daily activity used by nearly every human on earth. AI advancements will simply improve what is already in place.

Cutting-edge chatbots can be quickly deployed on the search engines that already exist, and this is a substantial difference from other overhyped, early-stage technologies. Their accuracy may still need time, but they're probably not too far off from being deemed “reliable enough.”

Investors should expect that AI will become a winner(s)-take-all market. In time, the difference in how search and other applications operate in terms of user experience plus ROI for advertisers will help carve a larger lead.

Premium Members should check the forum for updates on our timing for an entry into the stock.

Recommended Reading:

Google Stock: Search Is On The Precipice Of Multi-Decade Disruption
Google’s Antitrust Case: Why It’s Important

Posted in AI Stocks, Cloud Infrastructure, Digital Ads, Software, Tech StocksLeave a Comment on Highlights from Google I/O 2023

Highlights from Google I/O 2023

Posted on May 18, 2023June 30, 2026 by io-fund

Google recently held its annual developer conference Google I/O 2023. Google is a large real estate owner with arguably more data than any other tech company in the world. This advantage cannot be overstated when it comes to training large language models (LLMs). In addition to having a strategic advantage for future development of LLMs with data, Google can offer advertisers instant ROI.

The primary announcements from the event were:

  • Google drops the waitlist for Bard and announces new features.
  • Google launches new Large Language Model, PaLM2
  • Unveils its new AI-powered Search.
  • Google Cloud announces new A3 supercomputer VMs built to power LLMs.

Google drops the waitlist for Bard and announces new features

Among the more exciting announcements at Google I/O, the company dropped the waitlist for Bard and the chatbot is now available in 180 countries and territories. Bard supports English, Japanese, & Korean languages, and will soon support more than 40 languages. Google is also rolling out features such as better source citations, the ability to export content generated in Gmail and Google Docs, support for more visuals and an upcoming Google Lens integration to analyze pictures and write captions.

Background on Google’s Bard:

Earlier this year, Google’s stock (Alphabet) tumbled 7% when chatbot Bard was unable to complete a search with 100% accuracy. During the demonstration, Bard returned incorrect information about which telescope was the first to take pictures of a planet outside the Earth’s solar system. This was a minor mistake given how far large language models and generative AI has come, rather it was the timing that was a bit flawed as OpenAI’s ChatGPT, the chatbot powering competitor Microsoft Bing, had been dominating headlines since its November 30th launch.

Microsoft, being an opportunist, took it a step further and announced Bing would now be powered by a faster and more accurate version of GPT-3.5 one day after Bard’s failed demonstration: “We’re excited to announce the new Bing is running on a new, next-generation OpenAI large language model that is more powerful than ChatGPT and customized specifically for search. It takes key learnings and advancements from ChatGPT and GPT-3.5 – and it is even faster, more accurate and more capable.”

Both companies have been preparing for this moment for many years. Microsoft invested $1 billion into OpenAI a few years ago with a new $10 billion round announced last month. Meanwhile, Google acquired DeepMind in 2014. Google also previously developed conversational neural language models such as LaMDA, which is used by Google’s Bard for its conversational AI technology.

Despite the mishap with Bard, it would be a human-generated mistake to think Alphabet does not command a place of leadership right now in generative AI. Alphabet was one of the first tech companies to focus and invest on AI and natural language processing (NLP). We pointed out to our premium research members in July of 2022 that ChatGPT is based on transformer architecture that Google initially introduced in 2017 when we said:

“Transformers are becoming one of the most popular neural-network models by applying self-attention to detect how data elements in a series influence and depend on one another.

Sequential text, images and video data are used for self-supervised learning and pattern recognition, which results in more data being used to create better models. Prior to transformer models, labeled datasets had to be used to train neural networks.

Transformer models eliminate this need by finding patterns between elements mathematically, which substantially opens up what datasets can be used and how quickly.

Google first introduced transformer models in 2017 and transformers are used in Google and Bing Search. Transformers also led to BERT models, which stands for Bidirectional Encoder Representations from Transformers, and is commonly used for text sequences. Transformers are also used in GPT-3 (it’s the T in GPT) which improved from 1.5 billion parameters to 175 billion parameters. GPT-3 has the ability to report on queries it has not been specifically trained on.”

Earlier this month, Google’s CEO, Sundar Pichai, gently reminded the AI community of how cutting edge Google’s research is when he stated, “Transformer research project and our field-defining paper in 2017, as well as our important advances in diffusion models, are now the basis of many of the generative AI applications you're starting to see today.”

BERT was designed to help Google better understand search intent, as despite billions of searches every day, about 15% of those searches are for brand new terms. This prompted Google engineers to develop a model that could self-learn.

The result is that searches results are more accurate by taking into consideration the nuances of language.

Google launches new Large Language Model, PaLM2

Google launched a new Large Language Model, PaLM2, that will power the updated Bard AI chat tool and more than 25 other new products & features including productivity software (Gmail, Google Docs), Healthcare and Security.  

PaLM 2 has the following capabilities:

  • Multilingual: The LLM is trained on more than 100 languages, which increases language proficiency
  • Reasoning: The LLM’s dataset has improved logic, common sense reasoning and mathematics
  • Coding: The LLM can generate code including programing languages such as Python, JavaScript and specialized languages such as Prolog, Fortran and Verilog.

Google Unveils its new AI-powered Search

The company has unveiled its new generative AI-powered search that will be subject to a waitlist. Google cites the example of the following search “what's better for a family with kids under 3 and a dog, bryce canyon or arches.” Previously, you had to break the question down into smaller ones, sort through the vast information available, and then put things together yourself. Now with generative AI, search will be able to better understand the question.

Generative AI will also provide a better experience for online shopping by instantly getting relevant information like reviews, images, and ratings. The new shopping experience is based on Google’s Shopping Graph, which has more than 35 billion product listings.

The company announced the ‘About this image’ feature, allowing users to identify fake images. It mentioned in its press release, “When the image and similar images were first indexed by Google, Where it may have first appeared, and Where else it’s been seen online (like on news, social, or fact checking sites)”.

Google launches new Large Language Model, PaLM2

The company launched the new Large Language Model, PaLM2, that will power the updated Bard AI chat tool and more than 25 other new products & features announced during the Google I/O 2023.

Its predecessor PaLM, launched in April 2022, was a 540 billion based parameter, and the company did not provide this detail for PaLM2. PaLM stands for Pathways Language Model. “What we found in our work is that it’s not really the sort of size of model — that the larger is not always better,” DeepMind VP Zoubin Ghahramani said in a press briefing ahead of the announcement. “That’s why we’ve provided a family of models of different sizes. We think that actually parameter count is not really a useful way of thinking about the capabilities of models and capabilities are really to be judged by people using the models and finding out whether they’re useful in the tests that they try to achieve with these models.”

PaLM2 is faster and more efficient than previous models. Some of the improvements highlighted by the company are that PaLM2 is trained for improved multilingual text, spanning over 100 languages, reasoning, and coding, including popular languages like Python & JavaScript. For example, due to the multilingual capabilities of PaLM2, it has helped Bard to expand to new languages. PaLM2 is available in four sizes: Gecko, the smallest, followed by Otter, Bison, and Unicorn. Other use cases include improved Workspace features while working in Gmail, Google Docs, and Google Sheets. PaLM2 can also be used for enterprise use cases like Med-PaLM2 in medical research and Sec-PaLM in cybersecurity.

The company also said that it’s working on a more powerful model called Gemini and it will also be available in various sizes so that it can be easily deployed to various products.

Google Cloud announces new A3 supercomputer VMs built to power LLMs

Google Cloud announced the A3 GPU supercomputer that can be used to train and run Artificial Intelligence and Machine Learning models. While the A3 GPU supercomputer is on a private preview waitlist, the previously announced G2 VMs are now in general availability. The G2 VMs are powered by the new Nvidia L4 Tensor Core GPUs. The company said that it is the first cloud provider to offer these new GPUs for serving generative AI workloads.

The A3 GPU VMs are made of eight Nvidia H100 Hopper architecture GPUs, 3.6 TB/s bisectional bandwidth between A3’s 8 GPUs via the Nvidia NVSwitch and NVLink 4.0, 4th Gen Intel Xeon Scalable processors, and 2TB of host memory.

The A3 supercomputer can deliver up to 26 exaFlops of AI performance, thereby improving the time and cost of training large machine learning models. The A3 workloads will be run on Google’s Jupiter data center networking fabric which the company states “scales to tens of thousands of highly interconnected GPUs and allows for full-bandwidth reconfigurable optical links that can adjust the topology on demand.”

Conclusion:

I would not be surprised if we exit 2023 with a reimagined way to use Search Engines. The iteration cycle here is likely to move quickly compared to AVs or the Metaverse, as there are real-world applications where AI can be applied without safety issues (AVs) or friction in terms of user adoption (Metaverse/VR headsets). Instead, the scale has already been built with Search being a viral, daily activity used by nearly every human on earth. AI advancements will simply improve what is already in place.

Cutting-edge chatbots can be quickly deployed on the search engines that already exist, and this is a substantial difference from other overhyped, early-stage technologies. Their accuracy may still need time, but they're probably not too far off from being deemed “reliable enough.”

Investors should expect that AI will become a winner(s)-take-all market. In time, the difference in how search and other applications operate in terms of user experience plus ROI for advertisers will help carve a larger lead.

Premium Members should check the forum for updates on our timing for an entry into the stock.

Recommended Reading:

Google Stock: Search Is On The Precipice Of Multi-Decade Disruption
Google Faces Biggest Lawsuit in Company History — What Companies Could Benefit

Posted in AI Stocks, Cloud Infrastructure, Digital Ads, Software, Tech StocksLeave a Comment on Highlights from Google I/O 2023

SentinelOne Q3 Earnings: FCF Positive by Next Year

Posted on December 7, 2022June 30, 2026 by io-fund

SentinelOne had an excellent report minus the fiscal year guide of 50%. The market is likely digesting this, as are we.

The price action on SentinelOne was muted although there were some notable positives from the report. Key items discussed included the company becoming free cash flow positive next year (calendar year 2023) and profitable on an adjusted basis by the following year CY2024. The company beat sizably on adjusted margins.

With that said, the market is digesting lower cloud growth rates across the board, and although SentinelOne has maintained excellent growth this quarter and for next quarter’s guide, the next fiscal year guide is likely what’s causing the flat price action.

The guide at this time is for a baseline of 50% growth, marking a deceleration from 105% growth this year. This technically is a miss from the FY2024 analyst expectations of 64% growth, although “baseline” is vague and the company could meet the original expectations in time.

Other than this, the company beat across the board.

Q3 Financials & Key Metrics

SentinelOne beat on revenue with $115 million reported for growth of 106%. This was a 7% beat.

For next quarter, the company did not budge on guidance, which is likely weighing on the report.

The guide of $125 million met analyst expectations of $124.5 million, yet the market typically wants to see a stronger guide if the current quarter provides a beat.

This shows you how picky the market is becoming as fiscal Q4 guide is 92% which puts SentinelOne at the top of the cloud category as most cloud stocks are guiding for a 30% to 50% deceleration in growth rate, while SentinelOne is guiding for a 10% deceleration.

The company slightly raised full year guidance to $420.5 million for growth of 105%, up from 103.3%.

SentinelOne reported in line with EPS at ($0.35) and beat on adjusted EPS at ($0.16) versus ($0.22).

Gross margins came in as expected with 64% GAAP GM and 71% adjusted GM.

The positive surprise was the adjusted operating margin of (43%) compared to (57%) expected. This compares to (69%) in the year ago quarter. GAAP operating margin of (90%) reflects the high stock based compensation at 40% of revenue. This results in GAAP operating losses of ($104M) and adjusted GAAP operating losses of ($49.5M).

The company reported free cash flow of ($64.7M) and has $1.2 billion on the balance sheet.

Key Metrics:

Net new ARR was in the spotlight because of Crowdstrike which we covered here. SentinelOne reported net new ARR of $49 million compared to the guide for “mid-$50 million.” The company stated the miss was largely due to deals closing in Q4 that normally would have closed in Q3. To back this up, the company is guiding for 20% sequential growth. Crowdstrike guided for a YoY and QoQ decline.

“To be clear, we expect Q4 net new ARR to increase by at least 20% sequentially compared to the third quarter. We believe this is a prudent view and reflects a continuation of the macro headwinds we experienced in Q3, yet we are in a position to deliver a seasonally strong end of the year.”

ARR growth slowed to 106% down from 122% last quarter for $487.4 million. Customers over $100K grew 100% to 827 total, down from 117% last quarter. Total customers grew 55% down from 60% last quarter for 9,250 total customers.

As you’ve likely noticed, ARR tracks very closely to revenue for this company. Management provided a 50% growth rate for ARR next year, which translates to 50% revenue growth.

“Based on a prudent view of the current economic environment and expectations of further macro deceleration, we believe we will deliver at least 50% total ARR growth in fiscal year 2024.”

As noted above, 50% is lower than what analysts had for fiscal year 2024. This is one comment an analyst made:

“Alex Henderson

Great. Thank you so much. You gave a guide — preliminary guide, I guess, is the right way to say it for FY 2024, 50% ARR growth. The question I have for you is really without giving a forecast, can you give us some sense of the way you are thinking about the OpEx spend in that environment, will you still produce at a 50% type growth rate, the same or a similar degree of leverage or do you think the leverage becomes a little bit more muted as a result of the slower growth before the reacceleration?

Dave Bernhardt

We think that the ARR, let’s call it, tentative guidance for next year is really a floor. When I think about it, we believe it’s conservative. We are looking at it as something we can build from. In terms of our OpEx spend, we have always said and you have definitely seen this over the past couple of quarters where we beat by 17% and 14% in terms of operating margins. A lot of our spend is highly elective and we will invest when it makes sense and we will pull back when it doesn’t.”

Additional Notes:

The company provided bold comments regarding profitability and free cash flow, and essentially moved the target up by a year to become FCF positive by the end of next calendar year and adjusted profitability the following year after that (CY2024).

“We are on track to exit fiscal year 2023 with two quarters of about 25 percentage points at the year-over-year operating margin improvement. Continuing this progress forward, we expect another 25 points of operating margin improvement in fiscal year 2024 and our goal is to achieve profitability in fiscal year 2025.”

Here was the question on FCF:

Hamza Fodderwala:

“And then secondly, for Dave, you mentioned, operating profitability in fiscal 2024. I just want to be clear, is that for the full year of fiscal 2024 and would you expect free cash flow breakeven to proceed that by about four quarters? Thank you very much.”

Dave Bernhardt:

“And Hamza, to answer your second question, we have talked about timing of free cash flow, in creating free positive cash flow. We are still expecting that to happen at the end of next fiscal year and then what we are hoping for and really working to achieve is how to get breakeven in fiscal year 2025. So the following year. So we do expect free cash flow to hit before profitability and then those two will be much more mapped together.”

Conclusion:

You’ve probably seen by now that our cloud holdings are being reduced. The thought process around reducing exposure has been outlined going into Q3 when we’ve said a few times the market is nervous that enterprise spend/budgets will be the other shoe to drop. If this is true (I’m a messenger here), then we are at the beginning and not the end of a softer cloud market as Q3 marks the beginning of this new phase of economic slowdown (with phase one being the consumer).

For example, I said here:

“I also want to be a messenger and say that another reason we are seeing strong price activity is that analysts are concerned that enterprise spend will be the next shoe to drop. This concern was expressed across quite a few cloud companies’ earnings calls. The thinking is that enterprise spend will follow consumer spend, (eventually), yet is slower because budgets are cut more slowly and added back more slowly.”

Most of this will become evident when next year’s budgets are transparently disclosed with cloud’s full year guidance. Right now, if we are being real with ourselves, the Q4 guides are shockingly low. What the cloud category is guiding down on growth rates between Q3 and Q4 used to take a year or two (for example, a growth rate decel of 67% to 40% for SNOW or 47% to 26% for MDB — or choose any others, it’s rampant). This level of decel used to take a year or longer and we are now getting a 30% to 50% decel sequentially.

The market is probably due for a bounce (not my department) so we will likely reduce our exposure carefully. Despite what the market does in the near term, the predominant growth trend in cloud — from what I’m seeing – is down. As a category, cloud is providing the biggest decel it’s ever gone through. So, that’s important to not lose sight of.

What does this mean for next fiscal year and will there be a further decel given what we’ve seen from Q4 enterprise budgets?

Of course, we believe companies like SentinelOne, MongoDB, Snowflake, etc, will be around for the next 10 years. But if the trend is down and the growth rates are being slashed, a real recovery in this category will not be on the table until this is reversed.

A Member said on the forum the other day, sometimes it’s better to leave the 20% off the bottom on the table to improve timing on returns. I agree with this because cloud could need the better part of next year to recover and we can easily get back in (knowing that we will be leaving some money on the table).

This discussion is separate from how we go about this as the market has been deep in the red last three days so there may be a better opportunity to reduce exposure than right now.

Posted in AI Stocks, Cybersecurity, Enterprise, SoftwareLeave a Comment on SentinelOne Q3 Earnings: FCF Positive by Next Year

SentinelOne: A Strong Defender and Q4 Review

Posted on March 28, 2022June 30, 2026 by io-fund

SentinelOne: A Strong Defender and Q4 Review

The marketing language between Crowdstrike and SentinelOne is thick, and I don’t expect this to change anytime soon. We’ve called SentinelOne a “stellar product” in our first analysis and an “exceptional product” in our second analysis. This is based not only on detection, where Crowdstrikes rank high, but also on accuracy of triggering a response. 

The product differentiation is best summed up by the fact other vendors require data to be sent to the cloud for analysis and often have many humans monitoring the alerts to take action. Meanwhile, SentinelOne uses automation to find the threat which reduces the number of false positives. Instead of getting every piece of telemetry that requires the security team to investigate, SentinelOne’s endpoint detection and response solution eliminates the noise so that the security team is only responding to those that have the potential to be critical.

SentinelOne often emphasizes the fact that legacy antivirus powered by human-generated signatures still remains a widely used security technology. This is in spite of the fact that they are ineffective and reactive. Human-powered endpoint detection and response, or EDR, emerged as the alternative in which people became the detection and response crew.

Speed is everything in security and SentinelOne asserts Crowdstrike’s 1-10-60 rule is outdated. The 1-10-60 response rule claims the best achievable cybersecurity outcome is capped at one minute to detect an attack, 10 minutes to investigate, and 60 minutes to respond. Meanwhile, recent ransomware attacks have proved that it only takes milliseconds to breach an organization and cause damage. 

Data + AI = Storylines

SentinelOne believes that cybersecurity is fundamentally a data problem. The company’s Singularity Platform ingests, correlates, and queries petabytes of structured and unstructured data from ever-expanding disparate external and internal sources in real-time. It builds rich context and delivers greater visibility by constructing a dynamic representation of data across an organization. As a result, the company’s AI models are often highly accurate in triggering a response. 

The company’s distributed AI models run both locally on every endpoint and every cloud workload, as well as on the company’s cloud platform and the AI models predict threats in milliseconds. The behavioral AI model maps and links all behaviors on the endpoint to create Storylines. When an activity is deemed to be a threat, the system automatically takes action to kill the attack. 

In the cloud, the company’s platform aggregates these Storylines. The streaming AI detects anomalies that surface when multiple data feeds are correlated with additional external and internal data. By providing full visibility into the Storyline of every secured device across the organization through one console, the platform makes it fast for analysts to search and hunt for threats.

Storylines maintain a complete record of unauthorized changes that are made during an attack and can roll back or remediate any damage done during an attack very quickly. The ability to turn back time on a device is unique to SentinelOne. According to the company, this is the “ultimate safety net” and eliminates costly incident cleanup.

S versus CRWD = No Clear Answers

The challenge for analysts and investors is that Crowdstrike also has a strong product and is certainly the heavyweight in the space with SentinelOne being the defender. We’ve written a more thorough overview on product comparing SentinelOne and Crowdstrike here. 

In our previous analysis, we’ve discussed SentinelOne’s strength in ranking at the top in Peer Reviews despite ranking lower across industry analyst reviews. The most recent MITRE ATT&CK evaluations showed a very strong report for Crowdstrike on 100% detection yet showed very strong results for SentinelOne on 100% visibility and no misdetection. 

If public investors are looking for clarity directly from the source, there will be none offered as these two companies are committed to battling it out on earnings calls, marketing materials and anywhere else they can find an opening. 

It probably says something about S, however, that CRWD would even bother to defend itself given its annual revenue will be over $2 billion when S is at roughly $400 million. In other words, why bother with a competitor 1/5th your size in a crowded endpoint security vendor market? I imagine it’s because S makes bold, ongoing statements like this in their earnings calls and elsewhere: “We've maintained incredibly strong win rates in all competitive situations against both legacy and next-gen vendors. This is because of the breadth of our platform, covering endpoints and surfaces of all types, cloud workloads, Kubernetes, mobile devices and IoT devices and soon, identity.”

Cloud Security Segment Could Rival Endpoint Security

Cloud is a growth lever for SentinelOne as the company leverages a microservices architecture for rapid and frequent updates. The company offers support for Kubernetes workloads with additional runtime protection and simplified deployment. 

In our previous write-up, we had stated this was the most important statement on the Q3 call:

“Cloud still remains our fastest-growing module. About 10% of endpoints are covered by cloud and servers. It has been our fastest-growing module for some time. Cloud is a piece of the business, I think that we think will expand greatly in the future. We anticipate that at some point, it will be the similar size to the endpoint market.”

The company stated that across the company, it’s the “cloud workload protection and data retention modules that outperformed the most with year-over-year ACV growth of over 10X.” We are talking outsized growth on small numbers but this is key to watch moving forward with the more revelatory statement long-term coming from Q3 about the market matching the endpoint market.

In August, the company released SentinelOne Storyline Active Response (STAR) which is the cloud-based automation engine that allows security teams to create custom detection and response rules. 

The company stated DataSet was up 20% year-over-year. The product DataSet is what became of last year’s Scalyr acquisition, a leading cloud-native data analytics platform that serves as a big data engine for the XDR platform. This speeds up the process and drives down costs by ingesting and correlating terabytes of data at machine speed and also makes SentinelOne more competitive against SIEM tactics for data correlation and response.

Here is the advantage of DataSet when comparing to the competition, as stated in the call: “And I think that a lot of the large enterprises out there are looking at that because otherwise, if they're going with a different EDR vendor, they suddenly need to figure how are they going to retain data on the back of maybe a different platform. And that's sometimes going to be just incredibly costly. With us, it comes on the back of a single platform.”

Attivo Acquisition

SentinelOne extends the definition of XDR beyond “endpoint’ to include other data points on a network, such as containers, cloud-native applications, and even email or messaging. With the Attivo acquisition, the company will have more in-network and identity detection in the event a hacker is mimicking an employee or authorized user. This is especially important given the recent SolarWinds hack. 

Attivo Networks specializes in Active Directory, which helps IT departments connect users to Windows-based IT systems. This means it could help SentinelOne’s cross-sell into more traditional enterprises, which was alluded to on the call. There were many questions on the Attivo acquisition, but ultimately management stated it would be accretive on gross margin and accretive on operating margin (whew – you could feel the collective sigh of relief on the call – we do not want those margins going in the wrong direction right now). 

“So obviously, we have stated that [Attivo] accretive to our gross margin. From an operating margin standpoint, I think this current year, while we take into account our expected integration costs, the margin profile will be very similar to ours. If you take out those costs on a go-forward basis, it would be accretive to ours on an operating margin basis. And we'll have that guidance, obviously, when we specifically guide next quarter.”

Attivo’s specialization with Active Directory lends the acquisition to a post-SolarWinds world. Active Directory is the widely-used authentication system that was leveraged by hackers in the SolarWinds hack. 

SolarWinds is known to be the “largest and most sophisticated operation that [Microsoft] has seen” with over 1,000 skilled engineers likely working on the operation. Although Crowdstrike was not infiltrated due to not using Microsoft’s email client, the cybersecurity company also did not detect the abnormal API calls until after FireEye disclosed their breach. The blog published by Crowdstrike said that they later discovered “abnormal calls to Microsoft cloud APIs during a 17-hour period several months ago.” In response, Crowdstrike released a reporting tool to manage permissions for Azure AD environments.

Crowdstrike has cited issues with the authentication architecture with Active Directory on Windows and Azure Active Directory, which was exploited to move laterally in the SolarWinds hack. The CEO of Crowdstrike called Microsoft’s Active Directory “antiquated.” 

It may be a boon for SentinelOne that Crowdstrike is throwing shade on Microsoft as a large percentage of the Fortune 500 are committed to Microsoft. Notably, SentinelOne specifically stated in the past it covers email and will now cover Active Directory with best-of-breed identity threat detection and lateral movement prevention, which was used in SolarWinds.

The acquisition price is $617 million in cash and stock contributing $40 million in revenue for the full year. Attivo has ARR growth of 50% with primarily large enterprises making up the customer base with an analyst pointing out that ARR per customer for Attivo is double Sentinel. 

Q4 Earnings Overview

SentinelOne leads their earnings calls with ARR growth as the top key metric for the company. In Q4, ARR growth was 123% and revenue growth was 120% year-over-year for total revenue of $65.6 million. 

Total ARR is nearing $300 million while annual revenue for the upcoming fiscal year 2023 is guided at $368 million, with ARR suggesting this guide could be easily met over the next four quarters. Most importantly, customers over the $100K range are growing at a rate that is double overall customer growth at 137% and 70%, respectively. 

The overall customer growth represents a slowdown from 79% YoY to 70% YoY while larger account growth was fairly flat at 141% in Q3 to 137% in Q4. 

The company guided for Q1 revenue of $74.5 million, compared to revenue in Q4 of $65.6 million. This is important because management has stated in the past, Q1 revenue was down sequentially by 20% to 25%. “Our revenue guidance for Q1 implies that we should be at or better than typical Q1 net new ARR seasonality, which has been down between 25% to 35% sequentially in the past 2 years.”

Notably, the I/O Fund is unable to track where the ARR was down “for the past 2 years” but the sequential growth is headed in the right direction. The numbers we have show Q1 FY2021, net new ARR declined 37% QoQ to $8 million yet in Q1 FY2022 it grew +8% QoQ to $30 million. This year, the sequential growth will be +13.5%. 

Higher ARR sequentially for the upcoming Q1 is likely driven by the record number of 100,000-plus deal and a record number of million-dollar plus deals. International is another area of strength as the company saw revenue grow 140%. This represents 31% of revenue – so something to watch closely as a near-term driver.

Net retention is higher at SentinelOne at 129% down from 130% compared to Crowdstrike in the 121-123% range. 

In the current macro climate, across all growth stocks, the top line is battling the bottom line. On one hand, the market is trying to price in a slowing growth environment, and on the other hand, the market wants a perfect bottom line. Rarely do these two things coexist – strong growth in a slowing growth environment with a great bottom line. We are tech growth investors so we want to be careful of demanding that tech growth stops acting like tech growth.  

What we are looking for at I/O Fund is what companies can maintain growth with an improving bottom line.an improving bottom line. We think to dump resilient growth in a slowing growth environment isn’t necessarily the correct answer. Obviously, we are well diversified with top holdings that have strong bottom lines (AMD, NVDA) but we are also not dismissive of growth-oriented business models.  

With that said, SentinelOne has adjusted operating losses of ($63) million. The company has GAAP-operating losses of 109% or ($71) million. The margins noted include a 12% improvement to gross margin and a 38% improvement to operating margin.

It would be easy to discount the company based on the losses and to look at Crowdstrike with positive free cash flow and believe it’s the better stock. In this fierce debate, we are siding with SentinelOne primarily for its ability to run automated security from the data lake, as well as next-gen EDR/endpoints. 

SentinelOne’s forward guidance is for 80% growth in FY2023 for $368 million in revenue and 99% growth for the first fiscal quarter ending in April for $74.5 million in revenue. The company is guiding for “high 60% gross margins by year-end” on a Non-GAAP adjusted basis and operating margins of negative (57.5%) operating margin by year-end for an improvement of 25%. The company’s long-term target is EBIT margin of 20%-plus. 

Sales and marketing costs are improving over time with S&M trending closer to 100% of revenue in the past to 65% of revenue. Usually if an incumbent has strong margins like Crowdstrike, it serves as a model to help alleviate concerns of profitability long-term. Crowdstrike became profitable around the $200 million quarterly mark in July of 2020 so that could put us around H2 CY2023 for SentinelOne. Bradley goes into more depth below.

Notably, Crowdstrike had a rocky road with the stock being down 50% during the Q3 2019 selloff and then a total of 68% from peak to trough during March 2020. However, even if an investor had terrible timing and bought at IPO, the stock is now up 251% following yet another major selloff of Q1 2022. At its most recent peak, the returns were 390% if you had bought at IPO. 

I’m sure you can see the parallel I’m drawing with SentinelOne and some of our more recent buys – which are at/near the low. In the fierce debate between Crowdstrike and SentinelOne, the only thing that matters to us is whether SentinelOne’s product can potentially carry the newly public company on a similar path in terms of price action. We believe it can.

Comments on SentinelOne’s margin relative to CrowdStrike’s 

By Bradley Cipriano

SentinelOne and CrowdStrike are peers, so it makes sense to compare the two. However, CrowdStrike’s financials are much stronger than SentinelOne’s largely because CrowdStrike has significant scale (CrowdStrike is at nearly 6x the revenue run rate as SentinelOne). To account for the differences in scale, I compared SentinelOne’s latest results to CrowdStrike’s results when it was at a similar revenue run rate. As I’ll discuss below, SentinelOne’s results appear in-line with CrowdStrike’s but there are important differences in accounting treatment that impact the comparison.

SentinelOne’s Q4 FY2022 sales of $65 million are about equal to CrowdStrike’s Q3 FY2019 sales of $66 million. I use Q3 FY2019 for my base period for CrowdStrike, but also make comparisons to Q4 FY2019 to better account for seasonality. 

At this stage, SentinelOne is similar to CrowdStrike based on both sales growth and gross margins. For instance, SentinelOne grew sales 17% QoQ in Q4 FY2022 vs CrowdStrike’s 19% QoQ growth in Q3 FY2019. SentinelOne’s gross margin was 63%, which was slightly below CrowdStrike’s gross margin of 66% in Q3 FY20219. 

An area where SentinelOne is showing leverage is sales efficiency. SentinelOne’s Q4 FY2022 Sales and marketing expense was 64% of sales, which compares favorably to CrowdStrike’s 70% S&M margin (as of Q3 FY2019). However, Q4 tends to be a seasonally strong quarter for Enterprise, and relative to CrowdStrike’s Q4 FY2019 S&M margin of 61%, SentinelOne was slightly above that metric.

Further down the income statement, the differences grow between the two peers. SentinelOne’s R&D and G&A margins were much higher than CrowdStrike’s at this stage. For instance, SentinelOne’s R&D margin was 65% vs 39% for CrowdStrike, and its G&A margin was 42%, or double CrowdStrike’s 21% margin at a similar revenue run rate. As a result, SentinelOne’s operating margin of -108% as of Q4 FY2022 compares unfavorably to CrowdStrike’s -63% and -39% operating margin as of Q3 and Q4 FY20219, respectively.

However, there are important differences in accounting that impact this comparison. For instance, SentinelOne has accrued much more expenses than CrowdStrike at this stage, which essentially pulls forward expenses. For instance, SentinelOne’s accrued expenses increased 252% YoY to $84 million, which represented 61% of quarterly operating expenses. A rise in accrued expenses leads to a concurrent rise in operating expenses on the income statement, and is a sign of conservative accounting. 

It appears that SentinelOne has more conservative accounting than CrowdStrike did at a similar run rate. For instance, in Q4 FY2019, CrowdStrike’s accrued expenses were 46% of total operating expenses. Had SentinelOne’s accrued expense profile been similar to CrowdStrike’s, it would have reported ~$20 million less in quarterly expenses. Stated differently, SentinelOne’s operating margin would have been closer to -78% in Q4 had it not ramped the accrual of expenses, which compares more favorably to CrowdStrike’s operating margin at a similar run rate. 

Another important concept to consider is the capital intensity of both business models. If a company capitalizes more expenses to the balance sheet, its earnings will look relatively stronger. It is noteworthy that SentinelOne has just $25 million in net PP&E while at a $65 million quarterly revenue run rate, while CrowdStrike had $74 million in PP&E, or nearly 3x as much, at a similar run rate. During the latest quarter, SentinelOne capitalized just $1 million of expenses to the balance sheet, versus $15 million for CrowdStrike in Q4 FY2019. This $14 million delta impacts comparisons between the two. 

Taken altogether, SentinelOne recognized ~$20 million more in accrued expenses, and CrowdStrike capitalized ~$14 million more in expenses while at similar revenue run rates. If we adjust SentinelOne’s earnings for this $35 million delta, its Q4 operating margin would be closer to -55%, which compares more favorably to CrowdStrike’s -39% operating margin as of Q4 FY2019 and -63% operating margin in Q3 FY2019. 

To summarize, SentinelOne is at a similar run rate as CrowdStrike in Q3 FY2019. Sequential revenue growth is about even and gross margins are comparable. SentinelOne has moderately stronger sales leverage but has much higher R&D and G&A expense. However, SentinelOne has more conservative accounting, as it has expensed more costs to the income statement rather than to the balance sheet relative to CrowdStrike. For instance, had SentinelOne accrued expenses at a similar rate as CrowdStrike, its quarterly operating expenses would be ~$20 million lower. Furthermore, CrowdStrike has capitalized more expenses than SentinelOne has at a similar run rate, which added a further ~$14 million delta between the two. By accounting for these timing differences, SentinelOne’s operating margin appears more in-line with CrowdStrike’s at a similar run rate. 

Finally, SentinelOne guided for 80% topline growth for FY2023, which is slightly above CrowdStrike’s guide for 74% topline growth for FY2020. SentinelOne is expected to grow slightly faster than CrowdStrike did at a similar run rate. The faster growth rate will front load more expenses, and also contributes to a lower margin profile.  In all, SentinelOne’s margins appear relatively in-line with CrowdStrike’s after considering accounting differences and projected growth rates. 

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SentinelOne: Exceptional Product at a Decent Valuation

Posted on January 6, 2022June 30, 2026 by io-fund

SentinelOne: Exceptional Product at a Decent Valuation

 

At time of writing, SentinelOne is trading very close to its IPO opening price of $46.00 when the stock opened for trading on June 30th. We outlined how this price included a large 900% premium from its last private valuation round. Now that SentinelOne has more trading history and is doubling its revenue every year, the stock is catching up to its public market premium. By posting 128% revenue growth or more, the valuation has come down quite a bit. We are in the last quarter for fiscal 2022 and for fiscal year 2023, SentinelOne is trading at 33X expected revenue for 2023. We think this is a reasonable buy zone for a company with this level of growth that is expected to continue.

I’ll review the product which was first covered here in my Forbes write-up. Below, Bradley also discusses the operating losses and other key points regarding the financials losses that are being front-loaded from customer acquisitions as it captures market share. However, he outlines in more detail below that there are signs of leverage in its model. Customer growth is especially strong with SentinelOne and the net retention rate is healthy. We also discuss SentinelOne’s products and why cloud is a key area of strength. 

SentinelOne Product Overview: Fight Machine-with-Machine

 

SentinelOne is an AI-powered cybersecurity company at the forefront of autonomous threat detection and prevention. The company is one of the first to introduce autonomous threat detection and prevention. It has developed an AI-powered XDR platform to make cybersecurity protection truly autonomous from the endpoint and beyond. Endpoint security refers to protecting the endpoints or entry points of the end-user devices such as desktop PCs, laptops, mobile devices, and servers from being exploited. SentinelOne expands this definition (hence XDR for “extended” instead of EDR) to include more data points.

Overview of SentinelOne

The product differentiation is best summed up by the fact other vendors require data to be sent to the cloud for analysis and often have many humans monitoring the alerts to take action. Meanwhile, SentinelOne uses automation to find the threat which reduces the number of false positives. Instead of getting every piece of telemetry that requires the security team to investigate, SentinelOne’s endpoint detection and response solution eliminates the noise so that the security team is only responding to those that have the potential to be critical.

According to SentinelOne’s S1, “Cyberattacks have become the output of military-grade, highly resourced, and automated nation-state and cybercrime operations. We envisioned a revolutionary data and artificial intelligence paradigm where technology alone could autonomously prevent, detect, and respond to cyberattacks. It is time to fight machine with machine.”

They emphasize that legacy antivirus powered by human-generated signatures still remains a widely used security technology. This is in spite of the fact that they are ineffective and reactive. Human-powered endpoint detection and response, or EDR, emerged as an alternative where people became the detection and response crew.

This approach led to the “1-10-60” rule which claims the best achievable cybersecurity outcome was capped at one minute to detect an attack, 10 minutes to investigate, and 60 minutes to respond. Recent ransomware attacks have proved that it only takes milliseconds to breach an organization and cause damage. 

SentinelOne: Singularity XDR Platform

SentinelOne launched the XDR solution in the first half of 2020 prior to going public in 2021. This platform offers Active EDR, which allows for more visibility and automated responses for Endpoint Detection and Response (EDR). SentinelOne has many competitors in the EDR space while XDR extends the definition of “endpoint” to not only include devices and workstations, but to also include other data points on the network, such as containers and cloud-native applications, and also across the entire stack, such as email, the network, and identity. Extended detection and response (XDR) is cross-layered detection and response. XDR collects and automatically correlates data across multiple security layers – email, server, cloud workloads, and network – so threats are detected faster and security analysts improve investigation and response times.

SentinelOne uses many data sources to create a data lake. The single pool of raw data is built across a wide range of sources, including other vendors or internal data sources. Automation works best with a lot of data and SentinelOne is compatible with AWS, Azure or Okta, Splunk, Zendesk, and Slack. What matters to customers is that every threat is detected very quickly, and SentinelOne proposes a solution that is able to do both because automation and AI is best done at the data level rather than managing thousands of user endpoints to mitigate attacks.

The company’s Singularity Platform ingests, correlates, and queries petabytes of structured and unstructured data from ever-expanding disparate external and internal sources in real-time. It builds rich context and delivers greater visibility by constructing a dynamic representation of data across an organization. As a result, the company’s AI models are highly accurate. The company’s distributed AI models run both locally on every endpoint and every cloud workload, as well as on the company’s cloud platform and the AI models predict threats in milliseconds. The behavioral AI model maps and links all behaviors on the endpoint to create Storylines. When an activity is deemed to be a threat, the system automatically takes action to kill the attack.

Although SentinelOne and the XDR Platform is listed behind Crowdstrike and Microsoft on Gartner’s Magic Quadrant, SentinelOne leads on peer reviews. This was discussed in the earnings call with 97% of reviewers saying they would recommend SentinelOne in the 2021 Gartner Voice of the Customer Report. We had also noted the company’s strength on peer reviews in our first write-up. The company also scores high on the highly respected MITRE ATT&CK evaluations with 100% visibility and zero missed detections.

Cloud is a Growth Lever for SentinelOne

Cloud is a growth lever for SentinelOne as the company leverages a microservices architecture for rapid and frequent updates. The company offers support for Kubernetes workloads with additional runtime protection and simplified deployment. Kubernetes is automation orchestration for containers and allows for scaling of a container rather than an entire application. Kubernetes was created by Google and is used by 78% of companies managing containers with this open-source system.

This was probably the most important thing said on the call: “Cloud still remains our fastest-growing module. About 10% of endpoints are covered by cloud and servers. It has been our fastest-growing module for some time. Cloud is a piece of the business, I think that we think will expand greatly in the future. We anticipate that at some point, it will be the similar size to the endpoint market.”

According to the earnings call, cloud was the fastest growing segment: “In particular, our cloud workload protection product delivered the highest growth during the quarter, a testament to the demand for our real-time run-time protection for cloud workloads and containerized environments.” This was expanded on later to say: “The vast majority of what we sold this quarter was the Complete package. I think that we’re seeing just overall standardization on the Complete platform. People are opting for our complete EDR package. I think what I can also say on top of that is just increased adoption of our cloud modules. We’re just seeing increased demand for cloud workload protection.”

In terms of cloud being a growth driver competitively speaking, the company stated the following: “And obviously, if you look at our mix today, also going into the cloud security opportunity, kind of further compounds it, and it’s something that the incumbent vendors never had to offer.”

The company stated its biggest competitor here is Palo Alto Networks and a few startups.

Last February, SentinelOne acquired Scalyr, a leading cloud-native data analytics platform that serves as a big data engine for the XDR platform. This helps SentinelOne ingest “massive amounts” of data real-time for the XDR platform by eliminating data schema requirements and also reduces index limitations. This speeds up the process and drives down costs by ingesting and correlating terabytes of data at machine speed. This also makes SentinelOne more competitive against SIEM tactics for data correlation and response.

In August, the company released SentinelOne Storyline Active Response (STAR) which is a cloud-based automation engine that allows security teams to create custom detection and response rules. STAR requires security teams to turn queries into rules for detection, and this challenges legacy providers. SentinelOne’s platform aggregates Storylines, which is essentially behavioral AI. The textbook definition of behavioral AI is to track behavior on a device to reveal insights. SentinelOne leverages behavioral AI to make a decision without relying on sending signals to the cloud or to security engineers before a decision is made. Instead, SentinelOne uses ActiveEDR to sift through alerts and anomalies and to form storylines. The machine helps to identify the threat and then automates a response. This is differentiated from other EDR products that are only used to detect rather than to respond.

Ranger for Agent Deployment and IoT

SentinelOne is able to find any device connected to a network through a ML device fingerprinting engine (FPE) by running an inventory of IP-enabled devices. This helps to identify unsecured endpoints and to close the security gap in agent deployment. This is what is meant by “limited visibility” or lacking full visibility of every device where just one unknown device can run malware or host ransomware and compromise a network. Other cases of unsecured endpoints could be a new server that doesn’t have an agent or new employees who are onboarded without protection yet installed. Ranger and Ranger Pro detect and notify IT teams of these unsecured endpoints. This is especially important for the internet of things (IoT) where the number of devices connected to the internet proliferates and is hard to track. For example, hospitals are becoming smart hospitals where there are thousands of devices connected to the internet. In this example, Ranger would notify the IT department if one device was unprotected.

In the earnings call, it was stated that Ranger grew triple-digits and that “In Q3, two of our Fortune 10 customers renewed with multiyear deals, and both expanded their use of the Singularity platform, adding modules such as Ranger and remote script orchestration.” Adding modules like Ranger help to keep net retention rate strong, which reached a record 130% in Q3.

Remote Script Orchestration (RSO)

RSO is a new product released this past quarter. The goal is to increase the speed in response to cyberattacks. This is done by executing scripts and commands remotely across thousands of endpoints. The company provides a script library to run scripts for all platforms from a console to find single endpoints or multiple endpoints that are compromised. This allows security teams to collect whatever is needed from remote machines. This allows the security team to terminate processes, remove files, delete directories and other responses very quickly. With STAR, this can also be automated and RSO is built for users of all technical abilities due to the script library.

SentinelOne also supports Zero Trust which eliminates the need for perimeter-based security for better protection in remote work scenarios.

Product Differentiation

Cybercrime will cost companies $10.5 trillion annually by 2025 with the cybersecurity market worth $345 billion-$400 billion. SentinelOne’s addressable market is expected to reach $40.2 billion in 2024 with $12 billion from endpoint security and $17 billion in analytics, intelligence and response.

According to SentinelOne, using their products can produce cost savings can be up to 353% – granted this number is a marketing department, however, the point is that any company increasing ROI in cybersecurity has a real chance of taking market share if their product improves the results. The savings quoted is achieved by reducing the amount of cybersecurity tools a company needs by standardizing endpoint security across more data types. The consolidation in this case saves up to $3 million over a three-year period and the enhanced threat detection saves $671K over three years. Due to automation, $1.2 million can be saved over three years by reducing time and employee hours across the IT team.

This breakdown is important to look at because SentinelOne’s main value proposition is actually consolidation of cybersecurity tools, and secondly, its automation/reduced hours. This is a different argument then relying only on enhanced threat detection alone, which is the main argument for many of the competitors (debate on whose product is better).

We see real evidence of this in the financials with 4 quarters of revenue acceleration. Here’s how the company compares to other high growth cybersecurity names in terms of acceleration.

The product differentiation is best summed up by the fact other vendors are on the endpoint and require data to be sent to the cloud for analysis and often have many humans monitoring the alerts to take action. Meanwhile, SentinelOne uses automation to find the threat which reduces the number of false positives by leveraging a data lake. Instead of getting every piece of telemetry that requires the security team to investigate, SentinelOne’s endpoint detection and response solution eliminates the noise so that the security team is only responding to those that have the potential to be critical. Per SentinelOne: “What enterprises need is automated security, not repackaged legacy AV and crowd-powered protection.”

SentinelOne is not breaking ground in a new market rather its goal is be a superior product to take business away from legacy vendors. Here’s a quote from management: “I think it’s safe to assume that about over 50% of it is still in the hands of the incumbents. Looking at our pipeline for Q4 and the out quarters, that doesn’t seem to change. So to us, that cycle is still ongoing. It’s a pretty big TAM that we’re serving. And obviously, if you look at our mix today, also going into the cloud security opportunity, kind of further compounds it, and it’s something that the incumbent vendors never had to offer. So that makes the entire buying cycle really more sticky, more inclusive and just overall more important for the enterprise. So it becomes part of the picture. But again, in almost every account that we go into, call it high 90s, we see an incumbent vendor. So we don’t see that tapering away anytime soon.”

Financial Overview:

By Bradley Cipriano

 

SentinelOne has pioneered a new approach to endpoint cybersecurity and the company is quickly capturing market share.

We can see this in recent results, as annualized recurring revenue (ARR) has accelerated for four consecutive quarters. Furthermore, the acceleration in ARR helps explain the large losses incurred by SentinelOne, as customer acquisition costs are front loaded. However, as these new customers renew their contracts, the firm’s topline will continue to grow but expenses will normalize, leading to strong profitability in the future. I outline why in more detail below.

Accelerating growth drives large losses but losses are temporary

SentinelOne has reported four consecutive quarters of accelerating ARR growth. Specifically, ARR most recently increased 131% YoY in Q3 FY2022, an acceleration from the 127%, 116% and 96% YoY increase in Q2 FY2022, Q1 FY2022 and Q4 2 FY2021, respectively. As of the most recent quarter, ARR increased $37 million QoQ to $237 million, which marked the 10th consecutive quarter of QoQ increases in ARR (there are only 10 quarters disclosed). It is noteworthy that the most recent sequential increase in SentinelOne’s ARR was as large as the firm’s entire ARR metric in Q1 FY2020.

It is also notable that the acceleration in ARR started after the October 2020 quarter. In December 2020, the high-profile SolarWinds cyberattack was identified, which had exploited key vulnerabilities in numerous service providers such as SolarWinds, Microsoft products (Office 365) and VMware. SentinelOne outperformed the competition during this period and disclosed in its S-1 that none of its customers were impacted by the SolarWinds cyberattack. This event may have been a catalyst that identified SentinelOne as a leading cybersecurity platform. Furthermore, the company launched its XDR platform in early 2020 and covid lead to a general acceleration in software and cybersecurity usage during this period, each of which likely contributed to the acceleration in ARR shown below.

The growth in ARR also flowed to the income statement, as Q3 sales increased 128% YoY to $56 million, which marked the fourth consecutive quarter of accelerating YoY growth. Growth was driven by new customers, as SentinelOne disclosed in its 10Q that new customers accounted for 46% of its topline expansion in the most recent quarter, while existing customers contributed 37% and channel partners accounted for the remaining 17%. Acquisitions provided $4 million in sales, and absent the impact of M&A, organic sales increased 113% YoY.

During the quarter, revenue from international markets grew 159% year-over-year to $19 million, and represented 33% of total revenue, up from 29% a year ago. International markets will be a key area of growth for the company going forward. Furthermore, SentinelOne’s international growth was similar to CrowdStrike’s international growth when it was a similar size as SentinelOne (~$56 million in quarterly sales in FY2019). Specifically, CrowdStrike’s international sales increased 196% YoY to 23% of sales in FY2019, highlighting the similar path that SentinelOne is following. I compare SentinelOne and CrowdStrike in more detail further below.

Gross margin improved from 58% in the year-ago quarter to 64%, which represented an all-time high (10 quarters of public information). However, despite the improvement in gross margins, operating margins remained deeply negative. For instance, Q3 operating margin was -120%, a slight improvement from the year-ago quarter of -121% and an improvement from the 10-quarter average of -141%.

While it is concerning to see operating losses larger than sales, this is due to the rapid growth in new customers. As mentioned above, new customers accounted for the majority of topline growth, a favorable trend. Furthermore, acquiring customers front-loads expenses in the early years, but SentinelOne recognizes sales ratably, which makes losses appear outsized. As customers renew their contracts, these one-time customer acquisition expenses will decline, while the topline will expand as customers adopt more products. This trend will lead to an improvement in SentinelOne’s bottom-line going forward. 

Evidence of leverage in SentinelOne’s business

What is critical for SentinelOne’s story going forward is that there are signs that its subscription service is sticky, and that customers are increasing their spending. This would provide a light at the end of the tunnel that losses will turn into profits and cashflows. While SentinelOne is still a few years out from breaking even, there are positive signs that customers are both sticky and expanding their usage of its products. 

We can see this with net retention ratio (NRR), which improved to 130% in Q3, an all-time high, and was up from 115% in the year ago quarter. The improvement in NRR showcases that customers are expanding the amount of products they use each year, highlighting the success of SentinelOne’s ‘land-and-expand’ model. Furthermore, gross retention ratio, which only considers customer attrition, was 97% as of Q3, signaling that SentinelOne’s customers are sticking with the platform beyond one year.

Furthermore, SentinelOne’s customer metrics are also high quality. For instance, no single customer accounted for more than 3% of sales in the most recent quarter and the company disclosed that it has over 6,000 customers as of Q3, up 79% YoY. Furthermore, SentinelOne counts three Fortune 10 companies as customers, two of which recently renewed with multiyear deals in Q3. In its S-1, SentinelOne disclosed that it also counted 37 out of the Fortune 500 companies as customers, highlighting the large opportunity in front of it as there are still a plethora of enterprise customers yet to sign on.

Moreover, customers with ARR over $100,00 grew 141% YoY to 416, an acceleration from the 140% and 127% YoY growth rates in Q2 and Q1, respectively. SentinelOne’s success with enterprise customers suggests that the firm is rapidly capturing market share in the cybersecurity market.

Another example that highlights the leverage in SentinelOne’s model is the improvement in sales and marketing (S&M) expense. S&M expense increased just 1% QoQ in Q3, while Q3 sales increased 22% QoQ. This drove S&M margin down from 90% in Q2 to 74% in Q3, an all-time low. The improvement in S&M margin highlights that SeninelOne is spending less to attract customers, which is impressive considering that sales have been accelerating. As adoption grows, the company’s ability to expand the amount of products customers use will drive S&M margin lower, further improving its bottom-line in the future.

SentinelOne relative to CrowdStrike

SentinelOne’s metrics appear in-line when viewed relative to other cybersecurity platforms such as CrowdStrike. For instance, CrowdStrike’s S&M margin was 70% when its quarterly sales were around $56 million, This compares to SentinelOne’s S&M margin of 74% with $56 million in sales. Furthermore, SentinelOne’s sales grew 22% QoQ, which was faster than CrowdStrike’s 18% QoQ growth when its quarterly sales were $56 million. The faster growth rate helps explain the higher S&M margin.

However, SentinelOne has reported a steeper operating loss relative to Crowdstrike at $56 million in quarterly sales. This is likely due to timing, as SentinelOne went public with a rich valuation, which increases stock-based compensation expense. Expense items such as G&A expense may be inflated relative to historical periods for other tech stocks (like Crowdstrike), when tech valuations were lower.  Nonetheless, we expect the outsized SBC expense to normalize going forward. This will also improve SentinelOne’s bottom-line and bring it more in-line with peers in the future.

As shown below, SentinelOne and CrowdStrike had similar S&M margins when they were the similar sizes. However, CrowdStrike’s ARR was growing faster, as was its customer base. SentinelOne’s ARR per customer grew faster and its NRR was more robust. However, SentinelOne’s operating margin was considerably lower than CrowdStrike’s was. It should be noted that CrowdStrike was not public in 2018, so unrecognized SBC was not included in operating expenses. As mentioned above, we expect that SentinelOne’s earnings will improve as SBC from its recent IPO normalizes.

Outlook and Valuation

Looking forward, management expects Q4 sales to increase 103% at the midpoint to $61 million and raised their full-year guide for sales to $200 million, which increased the implied growth rate from 103% to 115% at the midpoint. Gross margin is expected to be 62%, up from the prior guide of 59% and an improvement of 100 bps YoY from FY2021. Finally, operating margin is expected to be -81% at the mid-point in Q4, demonstrating continued leverage in SentinelOne’s business model. 

Analysts expect growth to remain robust for the foreseeable future and FY2024 sales are forecasted to rise 185% from FY2022 levels to $570 million. Losses are also expected to persist throughout this time period, but are anticipated to materially improve by 2024. We are still early in SentinelOne’s growth story, but the opportunity in front of the company is large as its total addressable market was estimated to be around $30 billion in FY2021 and is expected to grow to $50 billion by 2024 (S-1).

The company’s market cap is below $12 billion and it currently trades at a 53x P/S multiple and a fwd (1-yr) P/S multiple of 33x. This is a premium relative to other cybersecurity competitors listed in its S-1, such as CRWD, which trade at a fwd P/S multiple of 22x. However, the company is clearly capturing market share from competitors, evident in its accelerating ARR metric discussed above, which warrants a premium valuation.

Furthermore, SentinelOne is unique in its growth as sales have accelerated for four consecutive quarters and the firm’s topline is growing over 100% YoY. Relative to other rapidly growing SaaS firms such as Snowflake, SentinelOne’s FY2023 fwd P/S ratio of 33x appears more in-line. There is also room for share price appreciation at this valuation. For instance, if SentinelOne’s sales grow to $570 million in FY2024 as expected and its fwd P/S multiple contracts to 30x (similar to CrowdStrike’s fwd P/S multiple when annual sales were at ~$500 million), the company’s share price will appreciate by 49% (assuming a constant share count).

Risks and Conclusions

There are some key risks going forward. SentinelOne’s approach to endpoint security is new and the market may not fully accept its approach of utilizing A.I. to combat cyber threats. Furthermore, the company has also reported large losses and these losses are expected to persist for the next few years. This may require SentinelOne to issue more shares, diluting shareholders. However, the company currently has $1.7 billion in cash on balance, which provides ample liquidity in the near term. Moreover, SentinelOne has limited financial information, which makes it difficult to thoroughly analyze the company’s financials and identify anomalies.

Despite the risks and limited financial history, SentinelOne appears to be well positioned in the cybersecurity market. ARR has accelerated for four consecutive quarters and it appears that the company is capturing market share, especially after demonstrating its success during the major SolarWinds hack in late 2020.

While losses are steep, there are signs of leverage in its business as S&M margin is improving. Furthermore, new customers are driving topline growth, which is favorable but also front loads customer acquisition costs. There is also evidence that SentinelOne’s customers are sticky, which suggests that the losses today are setting the company up well to report profits in the future. The company has a premium valuation relative to peers, which is warranted due to its elevated growth rate. Lastly, there is still room for capital appreciation even if the company’s multiple declines and mimics peers in the future. SentinelOne is early in its growth story and the market in front of it is massive, if it can continue to rapidly capture market share, it will likely reach profitability sooner than the Street currently expects.

Posted in AI Stocks, Cybersecurity, SoftwareLeave a Comment on SentinelOne: Exceptional Product at a Decent Valuation

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