AppLovin is a compelling business right off the bat for one reason: Where else can you find a business compounding its earnings per share in the triple digits over the last five years, but trades at a discount to the marketβs multiple?
These types of opportunities just donβt happen regularly. But the opportunity exists today, and my job today is to help you understand why. Because, yes, the market can be wrong, and as a matter of fact, is wrong very regularly. But as the market has proven, itβs mostly efficient.
So the question is whether AppLovin is a growth story on sale or a business facing looming disruption.
Letβs get into it!
β Kyle
The Intrinsic Value Conference: NYC
Plenty of the investing ideas youβve heard me discuss on the podcast or in these newsletters are ideas that Iβve cloned from other people. And while you might think Iβm only cloning from professional investors, that would be an incorrect conclusion. I get many of my ideas from being part of communities and attending events where many intelligent people gather, both professional and retail.
So Iβm ecstatic to discuss something meaningful to me. On September 19th, Shawn, Daniel, and I will be hosting an all-day conference in Midtown Manhattan dedicated to Intrinsic Value. This event will bring together a group of like-minded investors focused on sharing ideas worth understanding in depth.
The event is located a stoneβs throw from the world's financial center. Weβll be reigniting the spark behind fundamentals-based investing, uniting value-driven investors from a variety of backgrounds and corners of the planet. And weβd be honored to have YOU there alongside us.
Weβve already had a lot of demand for this event, but if you want to secure one of the last remaining spots, click here while space is still available:
AppLovin: Is This Ad-Tech Compounder Set For A Quick Double?
The List of Losers
I have a habit that you, as a value investor, may also share. Every now and then, the cheapskate in me pulls up a list of stocks that are trading closest to their 52-week lows; the same way some people will stroll down the clearance rack at a hardware store. Most of what I end up finding on that list is junk.
Weβre talking about melting ice cubes, companies drowning in excessive debt, or businesses whose best years were before COVID. Picture something like the Kraft-Heinz Company, and youβd be on the right track.
So when I came across AppLovin recently near the top of the list, I assumed it would conveniently fit into that bucket. But instead, I was pleasantly surprised. Because AppLovin isnβt a melting ice cube. Its revenue just grew by 53% year over year. Itβs not drowning in debt; they barely have any, and they throw off cash like a busted fire hydrant. On top of all that, you can argue that this business still has many good years ahead of it.
Yet strangely, the stock is down over 50% this year.
This is the exact type of opportunity us value investors salivate over. A great business with a broken stock. When looking for new opportunities, this is primarily what Iβm looking for: a growing business that continues to operate profitably while the market loses its mind over something I deem temporary or even irrelevant.
Enter AppLovin
The AppLovin Business Model?
Imagine, for a second, youβre playing a Solitaire mobile app on your phone as you kill some time on a weekend. You finish a hand, but before the next one is dealt, a 30-second ad pops up. The ad could be anything from a clip from another game to a mattress company to a meal kit delivery service. That ad didnβt come free. An advertiser paid the mobile game's owner for that ad slot.
AppLovin is the business that matches advertisers who want to pay to have their ads seen, with publishers (mobile game developers) who want to sell ad slots to monetize their games, while AppLovin takes a fee for brokering the transaction.

So think of it like this, AppLovin really has just two customers:
Advertisers, often referred to as the demand side
Publishers, often referred to as the supply side
There are, of course, a few nuances here. First is the scale. The total advertising spend flowing through AppLovin exceeds the combined revenue of Pinterest, Snapchat, and Reddit. So this isnβt some small niche business. Second are AppLovin's margins, which simply outstanding, with FCF margins of 66%.
AppLovin is well positioned to continue printing cash. They donβt own the ad inventory, and they donβt own the game studios. They are almost like a toll booth on a very busy bridge, collecting money from everyone who passes by. The only difference is that there is more than one toll bridge people can cross.
At its bare bones, AppLovin is really four different products. First, and most importantly, is the AppLovin Ads Manager (recently renamed from Axon). This is the part of the business that serves the advertisers.
Second is MAX, the product that helps publishers optimize what they get paid for their ad space. The third and fourth, and less relevant, parts of this business are Adjust, which helps advertisers better understand which ads work best, and Wurl, a streaming TV business that helps content companies launch ad-supported channels.

But before we get into the details of this dual-sided ad tech business, I think we should better understand the companyβs DNA.
An Act of Serendipity
AppLovinβs founder-CEO is Adam Foroughi. And he has a pretty good track record of success, as AppLovin is his third advertising-related technology company. So when it came to creating AppLovin, it wasnβt his first rodeo.

The story begins in 2011 when he launched an app that simply told you what mobile games your friends were playing. Letβs say your friend was playing βWords With Friendsβ; it would then nudge you to play it with them. Adam said the app stunk, but the recommendation algorithm underneath it was actually really strong.
Foroughi noticed that once the recommendation algorithm told someone to play a game with their friend, it generated a ton of conversions. That was the part of the app that mattered, and the part that has stuck around and helped create AppLovin's recommendation engine. On AppLovin, though, that engine matches advertisers with publishers instead of friends looking to play a game together.

Once Adam figured he was onto something with this recommendation engine, he needed to raise money. He ended up turning to angel investors, who invested about $25 million.
The Pros and Cons of A Board of Directors
For six years, AppLovin operated without a board. Iβve spoken with enough investors and board members to know that a board mostly exists to talk someone out of their best and worst ideas, in roughly equal measure. We saw this on full display with Foroughi and AppLovin:
Pro of Having No Board: In 2015, AppLovin was quickly approaching the $50 million EBITDA mark. A potential buyer approached him and offered $600 million in cash for the business. Adam turned it down, hoping to get a billion-dollar valuation. He felt that if he had a board at this time, it would have tried to convince him to sell the business. Keep in mind that, even with a 50% haircut in share price, AppLovin is worth $107 billion today.
Con of Having No Board: In 2016, a group of Chinese investors approached him again, this time wanting to buy a stake at a $1.4 billion valuation. Later, it turned out the buyer was partially state-owned. So regulators stepped in on national security grounds, and regulators blocked the deal a year later. Adam felt a board could have told him to just say no and ignore the time and energy wasted trying to get this deal to the finish line.
The Two-Sided Machine
I want to revisit the dynamic that AppLovin plays between advertisers and publishers to make it as simple as possible to understand.
On the advertising side, imagine you run marketing at Wayfair, the business that sells a medley of furniture. You are tasked with one job: turn ad spend into revenue dollars for Wayfair. The number you are laser-focused on is return on ad spend, or ROAS. You are tasked with achieving a ROAS of 500%, meaning that for every $100 of ad spend, you need $500 back in cold, hard sales.

Years ago, if you wanted to achieve this ROAS, youβd build an audience list, guess at who you wanted to target, run the ads, and adjust accordingly. But with AppLovin Ads Manager, you simply set a target and let its algorithm do all the heavy lifting. The matching algorithm searches for users who will meet your targets, and the price you pay scales dynamically with the value of the customer it finds, recalibrating with every new set of data.
The other side is to look at things from the publisherβs perspective. Instead of being a well-known brand seeking to drive sales, we are now, say, a game developer looking to monetize our game. Our game has multiple levels, and weβve fine-tuned the difficulty to maintain high user retention. Meaning we may have millions of daily active users on our game, and between each level, we have a 30-second ad slot to sell.
Traditionally, if I wanted to drive sales on these ad slots, Iβd use waterfall approach, where you rank the ad networks by who historically paid the most. Maybe thatβs Google first, Meta second, and AppLovin third. When a slot opens, you contact Google and tell them the price you want for the slot.
If Google declines, you call Meta, and if Meta says no, the request tumbles down the list like water down a waterfall β the first one to say yes gets the slot.

But there are a few problems with this structure. First is wasted time. As the request trickles down to the next advertiser, the slot sits empty. And empty slots pay nothing. Second, money could be left on the table. If the company that traditionally pays the most wants the ad slot, they can get it, but perhaps a lower-ranked advertiser was willing to pay more. In that case, the publisher isnβt optimizing for the highest price.
This is where AppLovinβs MAX product comes in. Instead of using this waterfall, the process becomes an auction. If an ad slot opens, MAX will ask to allow all advertisers to bid on it. MAX will then match the publisher with the highest bidder, resolving the problems with the waterfall.
And the process works! Tripledot, a gaming studio, ended up switching to MAX and A/B testing it across their entire portfolio of games. MAX raised average revenue per daily user by 20%. A 20% revenue gain from simply picking MAX is a pretty nice growth lever.
The AppLovin Flywheel
Thanks to the strong results it delivers on the supply & demand side of programmatic digital advertising, the stock has risen meteorically post IPO, with shares compounding at 34% annually going back to 2021. Even better results were obtainable for those who snapped up shares at the 2023 low point, delivering a 30-bagger in just a few yearsβ time.
We just covered the auction AppLovin runs on the publisher side. On the advertiser side, it does something similar, too, determining how much an advertiser needs to spend to achieve a specific outcome. But part of AppLovin's power is that its algorithm sees what not all advertisers can: how their ads actually perform across a large share of the mobile gaming world in real time.
More data from AppLovin Ads Manager and MAX improves AppLovin's ability to match even better. And better matching means advertisers get a higher return, making them more likely to pay more to be there. If advertisers spend more to get a better return, publishers make more money as well, attracting more gaming studios.
As more publishers join, AppLovin gets even more access to data, and the flywheel keeps spinning.

In theory, this means AppLovin can take a larger share of the profits without squeezing anyone. My best guess is that, on average, theyβre taking about 40% of the difference between what an advertiser pays and what a publisher receives. But if the algorithm keeps improving, the gap between those numbers could widen even further.
AppLovinβs Adventures In Game Studios
For quite a few years, AppLovin owned a bunch of game studios. But given AppLovinβs business model, that seems kind of strange, doesnβt it? After all, game studios require a lot of money to run. It would be like Uber buying a bunch of cars to facilitate ride-hailing, rather than relying on contractors to bring their own vehicles.
The real reason for owning gaming studios was to embrace their customersβ perspective on the supply side, receiving feedback and data that could be used to improve the core business.
By 2025, the algorithm was good enough on its own β AppLovin no longer needed the game studios, so they parted ways with them. They received $800 million in cash and stock, keeping a 20% stake in Tripledot to ensure the MAX relationship stayed intact. So the strategy here was to buy the data source, extract value, then sell the shell and keep the data. Kind of similar to what Foroughi did with the matching algorithm.
Numbers That Impress
I havenβt spent much time looking at AppLovinβs numbers yet because I wanted to make sure you undestood the business model. The numbers, though, speak for themselves:
EBITDA margins over 79%
Revenue per employee is more than $7.6 million
Returns on invested capital exceed 110% and are rising
In the first half of 2026, they spent a pittance, $1.8 million, on property and equipment. In those same six months, they generated $2.1 billion in cash from operations.
Their balance sheet looks quite strong with only $400 million of net debt, and maturities stretching to 2054. With a few months of cash flow, they could extinguish the net debt entirely.
From a capital allocation standpoint, this business stands out not just for its sky-high ROIC but also for its buybacks. Itβs weird to associate a technology business with creating value from buybacks, as it seems to be an oxymoron. But in AppLovinβs case, they are the exception to that rule.
The first phase was spectacular, as they bought AppLovin stock at a fraction of today's price. In 2023 alone, they spent about $1.4 billion on roughly 41 million shares that are now worth $12.6 billion. This is the capital allocation that value investors can only dream of!
I break down the buybacks into two separate periods. The second chapter, spanning from 2025 to now, remains unresolved. Theyβve spent over $2 billion on shares that are more than 30% above todayβs price, so not so good. But I donβt think we can properly grade them until the market decides whether this business can continue to grow.
So Why The 50% Haircut?
With numbers like these, the 50%+ drop in 2026 doesn't make sense, not if you're just looking at the numbers, anyway. Q2 earnings dropped in August, and they still looked pretty solid with revenue up 53% and profits up 55%. And since that time, the stock has fallen nearly 30%.
There are three things that did it:
A slight revenue miss of just $20 million or 2%. I think this is pretty irrelevant
A reduction in guidance. Theyβre still guiding for 46%-48% growth in Q3, but the fact that itβs decreasing spooked Wall Street.
Margin guide-down.
Iβd say the last two are the primary culprits. Wall Street tends to like businesses with accelerating growth rates. And even though AppLovinβs growth rates remain exceptional, I think there are real questions about how quickly these numbers may decline in the coming years. Put yourself in investors' shoes for a second. You paid a growth multiple. Now growth is decelerating, margins are compressing for the first time ever, and volume has turned negative. I know Iβd get a little nervous too.
Future Growth Levers
The above may concern you, and I wouldnβt blame you, but we need to evaluate whether this company can continue growing. The days of growing revenue by 60% or more seem to be over, but that doesnβt mean this company canβt still grow and make cash. I see three primary growth drivers.
The first is e-commerce. E-commerce has grown for them, but thereβs a small issue as itβs not the best natural fit. AppLovin generally shows 30-second ads inside mobile games. But most smaller e-commerce businesses tend to build static images and product catalogues for Google or Meta. If AppLovin can bridge the gap, it will do very well, but itβs not yet clear whether they can.
The second is Gist, a social media app they built from scratch. With Gist, they are copying the gaming studio playbook and trying to gather data on where users spend time to then use for the flywheel. But Iβm not expecting this to be the next Instagram or TikTok, so who knows how much of a value-add this will be. Lastly, it is expanding beyond games into non-gaming apps, the open web, or connected TV. This doesnβt appear to be a priority right now, but there is upside optionality here.
AppLovinβs Intrinsic Value
My base case for AppLovin is conservative. Over the next five years, revenue will compound at 17%. Keep in mind management just guided for 47% in the near term, so Iβm pricing in a lot of further deceleration. Next are EBITDA margins, which I simply kept at about the same level they currently have, 77%. I then apply a 13x EV/EBITDA multiple and a 30% margin of safety. That gets me to a value of about $483, a 9.4% annual return from today's price.

Download the model and adjust your assumptions
The returns here look pretty good. If management can maintain or slow the deceleration in growth, this estimate will end up being way too conservative. But I just can't get conviction in that outcome. On top of this, the businessβs disclosures are very weak. This tells me they donβt want to tip off competitors about what theyβre prioritizing. While this makes sense from a business standpoint, it doesnβt help educate potential investors like me. So even though the business is cheap, itβs not an investment weβd ever really feel comfortable with.
What would change my mind is if volume started picking up again, or if the business decided to share more information in its disclosures. While I think these are very low-probability events, they would at least give me some extra insight into where the company is headed.
To listen to our discussion of AppLovin, or for more company Deep Dives, check out our podcast here.
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Notes
We had a lot of fun with our livestreams over the last couple of weeks, ranking our watchlist and serial acquirers. So we're back with another one this week! Mark your calendar and join us liveβit'll be Wednesday at 10:30am ET on our YouTube channel. Looking forward to seeing you there!
Uber just announced it will lay off 10% of its workforce, or about 3,400 jobs. The reasoning is to make the business simpler and faster and to free up capital for other uses.
It looks like theyβll take aim at middle management to help remove multiple layers of redundancy that are no longer needed
Uber is also essentially putting a stop to remote work, allowing just 1% of its workforce to work remotely. Global teams will be concentrated in New York and San Francisco
Based on the estimates, I found that the layoffs will save $500mβ$2b annually. These funds will be reinvested into the business to invest more in its drivers, couriers and merchants, as well as to drive more innovation, including autonomous driving
The search for Adobe's next CEO is officially over. Longtime CEO Shantanu Narayen announced plans to step down earlier this year, but no successor had been named.
Anil Chakravarthy, who was the president of Adobeβs Customer Experience Orchestration business and worldwide field operations, will take over as CEO and join the board by the end of 2026
Since joining Adobe in 2020, Chakravarthy has helped the company develop products such as Adobe CX Enterprise, GenStudio, and Brand Visibility.
Anil has previous CEO experience, having served as CEO of Informatica. A business in the cloud management and data integration space
On Thursday, PricewaterhouseCoopers released an astronomical figure for where they think AI capex spending will go over the next 20 years. If you think recent numbers coming from Google are ridiculous, you should probably take a seat before you read this figure.
$31.6 trillion. Thatβs how much they believe will be spent until 2050.
PwC forecasts a general rise in annual AI data centre capex from about $800 billion to $1.8 trillion by 2050
They expect the US to capture about half the market, followed by China, India, Europe and the Middle East
They say that chip replacements will account for the majority of this spending, as previous-generation chips are replaced with higher-powered, presumably more energy-efficient chips
Under their most bullish scenario, spending will reach $50 trillion. This scenario plays out if AI adoption rates are faster than the base case
And for the pessimists out there, even if AI adoption rates are slower, PwC still thinks AI capex will land around $22 trillion
Quote of the Day
"Spend every dollar like it's out of your own pocket."
β Adam Foroughi
What Else Weβre Into
πΊ WATCH: Greg Abel discusses Warren Buffett, the Alphabet investment, and data center energy
π§ LISTEN: Rob Vinallβs 2026 Half-Year Letter to Investors
π READ: The 10 "Irreplaceable" Assets: Inside Chris Hohnβs $68 Billion Portfolio
You can also read our archive of past Intrinsic Value breakdowns, in case youβve missed any, here β weβve covered companies ranging from Alphabet to FICO, Transdigm, Perimeter Solutions, PayPal, DoorDash, Crocs, LVMH, Uber, and more!
Your Thoughts
Is AppLovin more likely to double or halve again over the next few years?
See you next time!
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Β© The Investor's Podcast Network content is for educational purposes only. The calculators, videos, recommendations, and general investment ideas are not to be actioned with real money. Contact a professional and certified financial advisor before making any financial decisions. No one at The Investor's Podcast Network are professional money managers or financial advisors. The Investorβs Podcast Network and parent companies that own The Investorβs Podcast Network are not responsible for financial decisions made from using the materials provided in this email or on the website.







