APP Q1 2026 earnings

Financial Overview

Q1 2026 (reported May 6, 2026):

Revenue: $1.84B (+59% YoY, +11% QoQ)

Adjusted EBITDA: $1.56B (+66% YoY, 85% margin, +400bp YoY expansion)

Free Cash Flow: $1.29B (70% FCF margin)

EPS: $3.56

Cash: $2.76B

Shares outstanding: 336M (bought back 2.23M shares / $1B in Q1)

Buyback remaining authorization: $2.3B

Q2 2026 Guidance:

Revenue: $1.915-1.945B (midpoint $1.93B, +52-55% YoY, +4-6% QoQ)

Adjusted EBITDA: $1.615-1.645B (84-85% margin)

Valuation:

Trailing P/E: 40.50x

Run Rate P/E: 35.90x (Q1 2026 EPS $3.56 x 4 = $14.24 annualized)

Forward P/E: 21.37x (forward EPS $21.78)

PEG Ratio: 0.69 (40.50 / 59% revenue growth)

Revenue trend (YoY, software platform basis):

Q2 2025: +77%

Q3 2025: +68%

Q4 2025: +66%

Q1 2026: +59%

Operating leverage: (Q1 2026 Adjusted EBITDA $1,560M - Q1 2025 $938M) / (Q1 2026 Revenue $1,840M - Q1 2025 $1,157M) = 622/683 = 91.1%. Ninety-one cents of every incremental revenue dollar flowed through to adjusted EBITDA. Adjusted EBITDA margin hit 85%, up 400bp YoY.

On P/E compression: Trailing P/E is 40.50x. Run rate (annualizing Q1) is 35.90x. Forward is 21.37x. That’s 19.1x of compression from trailing to forward, driven by a business that’s still accelerating earnings faster than the stock appreciates. A forward P/E of 21.37x for a company growing revenue 59% YoY with 85% EBITDA margins is not stretched. The PEG of 0.69 (trailing P/E 40.50 / 59% revenue growth) puts it in undervalued territory relative to growth.

The sequential growth narrative on revenue shows a deceleration from 77% to 59% YoY over four quarters. Q1 2026 YoY comps get harder going forward as 2025’s numbers were strong. The guided Q2 at 52-55% YoY reflects that math, not a business slowdown. Management has sandbagged guidance every quarter for at least six consecutive quarters, with actual QoQ coming in at 10-18% versus the 5-6% they guide.

Management Commentary Analysis

Source: Q1 2026 earnings call (May 6, 2026)

The transcript confirmed two things that weren’t fully clear from financial statements alone: continued conservative guidance and the multi-layer moat structure.

Conservative guidance, the call confirmed the beat-and-raise pattern is deliberate. Management guides conservatively at 5-6% QoQ and then delivers 10-18% actuals. The Q2 guidance midpoint at $1.93B came in 4% above street consensus on the day of the call, extending the consistent beat-and-raise sequence. The transcript captured no hedging language or guidance-walk-down signals that would suggest a miss is coming.

The competitive moat discussion was the most useful part of the call. Management described AXON’s switching cost in a way that the 10-K doesn’t capture: the average customer has been on the platform long enough to have their campaign history embedded in the model’s training data. Rebuilding that history on a competitor’s platform means tolerating worse performance for an extended period. One figure from the call worth anchoring on: customers who have been on MAX for 30+ days show essentially zero churn. The 70,000+ advertiser customer base and the deep per-customer data moat are showing up in the top and bottom lines.

The e-commerce expansion was discussed in specific terms. Wayfair and e.l.f. Beauty results are being used as proof-of-concept for the AXON Ads Manager product, with performance metrics shared privately with prospective customers. Management was careful not to put a timeline on when e-commerce becomes a material revenue contributor, which I read as appropriate caution rather than evasiveness.

Is the AXON model still improving? Confirmed: management described ongoing reinforcement learning improvements without specifying the performance delta.

What is the e-commerce adoption rate? Answered partially: early results are strong, pilots are expanding, no revenue materiality disclosure yet. Full launch in June 2026.

Investment Thesis

Bull Case

1. Adjusted EBITDA margins went from 56% to 85% in six quarters.

AXON 2.0 is a reinforcement learning model that improves with each auction processed. As the model gets better, advertisers spend more for the same budget because ROAS improves. More spend means more revenue at near-zero marginal cost. EBITDA margins went from 56% in Q4 2024 to 85% in Q1 2026 in six quarters. Operating leverage of 91.1%, ninety-one cents of each incremental revenue dollar flowing to adjusted EBITDA, shows each quarter that adds revenue at this flow-through compounds the earnings base.

2. E-commerce TAM extends the growth runway beyond gaming saturation.

APP currently has an estimated 60% share of mobile ad mediation but under 5% penetration of e-commerce performance advertising. Global digital advertising is $600B+. AXON Ads Manager is the vehicle for moving from the first market into the second. Early pilots with Wayfair and e.l.f. Beauty show the model can transfer. If e-commerce becomes a meaningful revenue segment over the next 2-3 years, the YoY growth rate can stay elevated even as gaming comps get harder.

3. The financial profile is one of the strongest in the market at this scale.

$1.84B revenue, 85% EBITDA margin, 70% FCF conversion, $1.29B free cash flow in a single quarter. CapEx of roughly $4.8M annually on over $1.3B of operating cash flow. 0.36% CapEx/OCF. The company generates enough cash every quarter to buy back shares ($1B in Q1 alone, $2.3B remaining authorization).

4. P/E compression story has room to run.

Trailing P/E is 40.5x. Forward P/E is 21.4x. The gap between those two numbers shows the business is growing earnings faster than the multiple is expanding. Forward EPS of $21.78 on a $465 stock implies the market has priced in a slowdown. If APP delivers Q2 at $3.80+ EPS (consistent with the beat-and-raise pattern), the forward P/E starts to look cheap in real time. The compression from 40.5x to 21.4x is 19.1x, which I evaluate as a “strong acceleration signal” when the gap exceeds 15x.

Bear Case

1. E-commerce expansion is the biggest unresolved assumption in the thesis.

AXON was trained on gaming user behavior. Retail consumer intent signals are different, purchase cycles are longer, and attribution is harder. The model may need years of retraining with e-commerce data before it matches the ROAS performance it delivers in gaming. If the early pilots (Wayfair, e.l.f. Beauty) don’t scale, the growth runway narrative collapses back to gaming alone.

2. Single-moat concentration in AXON AI superiority.

The entire competitive advantage rests on AXON performing better than Meta Advantage+, Google Performance Max, and other systems. Meta and Google have comparable compute, comparable data, and comparable engineering talent. The gap between AXON and its nearest competitor exists but is not guaranteed to persist. A meaningful narrowing of the performance gap would reduce advertiser switching costs and put pressure on pricing. No obvious secondary moat exists if AXON loses its lead.

Conclusion

APP passed every critical evaluation checkpoint in Q1 2026. Revenue at 59% YoY and EBITDA margins at 85%. Forward P/E of 21.4x for a 59%-YoY-growing, 85%-margin business, seems very attractive to me. I bought some more shares on Friday at the initial downturn. APP continues to have my highest level of confidence.

Drew,
Long

59 Likes

They announce that Axon is going GA in June. This is big. They also mentioned that the video generation automation will be available for all advertisers soon as well.

Also, I have one theory, not sure if I’m right or not. I think AppLovin audience (mobile-gamers) tend to spend more money when they sees Ads compared to other platform (like Youtube, Tiktok). So when they sees Ads from non-gaming, I think they will spend money on those Ads and giving better ROI for Advertisers compared to ROI from other platforms (like Youtube, Tiktok). But that’s just my theory.

Overall, I’m even more bullish after reading the transcript compared to previous quarters.

15 Likes

Can you expand more on that theory? Why would gamers be more prone to click on ads and purchase the products than people on non-game platforms? Neither side of the argument is intuitive to me so it would help to understand the reasoning behind the idea.

CEO said in Q4 2025 that their audience tend to me adult female spending time on casual mobile game.

AppLovin continues to be my highest conviction and largest holding. I reluctantly sold a few shares in order to make some cash available to start a position in SIMO, which may show faster near-term stock price appreciation. Longer term, AppLovin dominates my portfolio.

I would take issue with one comment in your bear case, “The entire competitive advantage rests on AXON performing better than Meta Advantage+, Google Performance Max, and other systems.”

Not that you’re entirely wrong, but IMO just a bit overstated. AXON does not need to out-perform their competitors, it simply needs to perform on a par. There are other factors to be considered. Primarily, ease of use. AXON is highly automated, with automation of the creative requirements now under development. I’ve personally run ads on FB/Insta. Much is left up to the advertiser - or at least it was a few years ago when I used the META platform. If comparable results are available from a vehicle which requires less brain sweat from me as the advertiser, the choice is not difficult.

It’s easy to just sort of forget about the importance of human involvement in advertising. But especially when considering the SMB segment, often it’s the business owner who is personally involved in making the decisions about what the goal of an advertising campaign (for example, customer acquisition versus product promotion will result in very different ad content).

And because AppLovin maintains a stronghold on the gaming side of the advertising market any penetration they gain in ecommerce (and CTV to follow) is all incremental improvement over their competitors. And the gaming market is not static, it continues to grow. With the introduction of AI, I think it’s a safe assumption that we will see an acceleration in the development of ever more sophisticated and imaginative games.

Global advertising spend is for the first time project to exceed $1T in 2026. Of that, search, social and video are the dominant media. The US and China lead the world in advertising spend with digital delivery dominating all other media by far. Worldwide economic growth is forecast at about 3% while worldwide advertising spend is growing in excess of 5%.

18 Likes

Brittlerock,

Thanks. I do agree I did some searching for their bear cases and might have pushed it because I am extremely positive on them.

I was thinking outperform because if they provide the same performance as the biggest competitors, it’s harder for them to be recommended. No advertiser manager is going to be blamed for a poor advertising campaign on the decision to use meta or Google. But advertising on gaming on a company called Applovin they could be. It’s one of those quirks in business that some decisions are made to minimize blame, not to advance their company goals.

Drew

8 Likes

Drew,
I too am long Applovin mostly through Brittlerock’s previous recommendations. Probably the most important metric to me is the PEG ratio at 0.69. Harkening back to the original Saul discussions, PEG below 1.0 is good, below .85 is great, and below 0.7 is outstanding. Glad to stay the course after this earnings report.

Best,
bulwnkl

29 Likes