r/valueinvesting
Why I Think the Market Is Mispricing META (and Overreacting to ‘Dilution’ Fears)
META is undervalued at 18x fwd earnings; ad business improving via AI efficiency, metaverse drag fading, and capital allocation concerns are overblown.
- Trading at an attractive 18x forward earnings multiple despite strong cash generation and margin advantages.
- Core advertising business is accelerating due to rising impressions, pricing power, and AI-driven conversion efficiency.
- Reduced metaverse spending will significantly boost free cash flow, while potential AI monetization offers massive upside optionality.
I honestly don’t fully understand why the market is so uneasy about Meta right now, because if you step back and look at it objectively, the situation seems fairly straightforward. Meta is trading at around 18x forward earnings over the next 12 months, which for a company with this level of cash generation, margins, and scale advantages does not look demanding at all.
At the end of the day, the advertising business is not only not deteriorating, but is actually starting to show signs of improvement across several variables at the same time: impressions are going up, pricing is going up, and on top of that, the efficiency of the system driven by AI is improving conversion. To me, that already changes the narrative quite a bit, because you’re no longer talking about a mature, stagnant business, but rather a core business that is still evolving.
And then there is the AI angle, which I think the market is still struggling to properly price in. Because if Meta manages to turn that investment into real returns, not just in advertising efficiency but also in new products, subscriptions, or monetisation within WhatsApp or Instagram, the impact could be massive. It doesn’t need to work perfectly; even a small fraction of their user base starting to monetise additionally already translates into very large numbers purely because of scale.
On top of that, I think there is an important point that a lot of people are overlooking, which is the normalisation of spending that came from the metaverse. If that stops being a meaningful drag, the company’s underlying earnings and free cash flow could improve much more than it looks at first glance.
And then there is another aspect that I think is key and that the market is reading too superficially, which is financing and how capital allocation is being thought about. This is where a lot of people get confused, because they automatically think: “if the stock is cheap, why on earth would you issue shares or structure convertibles?”. But that line of thinking is too simplistic.
Because one thing is whether the stock is “cheap” in relative historical terms or market perception, and another completely different thing is how you optimise the capital structure to fund projects with very high expected ROIC. If you have AI investments in front of you with potentially very high returns on capital, it makes sense to try to finance them with the instrument that best fits the trade-off between cost, flexibility, and risk. And that’s where structures like mandatory convertible preferred shares or similar hybrids come in, which in practice work like a bridge financing instrument: they start off behaving like debt or fixed income, and then convert into common equity later on.
The key point is that this does not invalidate the idea that the stock can be “cheap” today. What it reflects is something else: that the company may prefer not to slow down growth or constrain investment just to preserve the perception of equity undervaluation. In other words, if you believe the marginal return on that capital in AI is higher than the implicit cost of capital, then issuing shares is not “destroying value” — it is actually an attempt to accelerate value creation, even if there is future dilution.
And on top of that, in companies like Meta, this is never a linear game. It’s not “issue shares → dilute → destroy value”, because then you have the other side of the equation: massive cash generation and aggressive buybacks over time. If the cycle is executed properly, you can issue at the right moments, invest, generate returns, and then later repurchase shares in the market using the cash flow generated, partially or even fully offsetting that initial dilution.
And ultimately, all of this comes down to something quite simple: if the market starts to believe that Meta is not just a mature digital advertising company, but a platform with real optionality in AI and new monetisation models, the multiple can change completely. Because moving from 18x to something closer to 25–30x does not require an extreme change in earnings, just a change in how the quality and duration of those earnings are perceived.
That is why, from my point of view, this is less a fundamentals problem and more a problem of perception and probability. The market is still not fully pricing in the most optimistic scenarios, but if they start to be confirmed even partially, the re-rating could be quite significant.
My position in Meta is 35%
I keep saying this, META is going to be fine. Social media, targeted advertising, and surveillance aren’t going anywhere. Their forward PE has averaged 23-27x over the past 5-10 years, but sits at 18.5x, a 25-30% discount to its own history. The business is growing revenue 33% with 41% operating margins, the strongest fundamentals in its entire history. Even a conservative 23x multiple (its 5-year average) to consensus 2027 EPS of $35-38 lands fair value at $805-875 versus around $600 these days
When was the last time management made a capital investment that better served investors than a share buyback would have?
As far as I can tell, one has to go back to the acquisition of WhatsApp in February 2014 for something that budged the needle. You're not buying a fractional claim to future cash flows here. You're buying Zuck's recent and future decisions for how those cash flows should be spent, which is worth considerably less, IMO.
Literally every investment that kept that company relevant and growing to this day ? Money doesn’t grow on trees (fun fact bananas do not grow on trees either), they have to invest to stay competitive.
Mkt is back to 2022 sentiment on Meta again.
They failed to realize that Meta actually is the only one that actually successfully incorporates AI into its core biz and racking up huge profits.
Meta knows they have to compete for compute, if not they will be another kodak in the making.
Capex cost will plateau once reached to a level as tech improves. By that time, Meta would have taken up mkt share of other space as well and scaling up their profits across their ecosystem
Strategy same as 2022, BUY ON DIPS
I say this again... If Meta had an AI product or was even selling its compute. I wouldn't even have said anything. The problem with Mark Zuckerberg is that he just doesn't know how to launch a product. He does not start with the customer. He starts with the product and himself. $200 billion dollar he had spent thus far is not for AI used in advertising. No we do not need that much compute for it. He is trying to build something called "personal superintelligence." Tell me. What is this? Also, who are the people asking for such product? Alexander Wang the chief AI lead at Meta is saying that they are going to focus on health. Again, who is asking for such product? Hospitals? Doctors? People in general? Isn't this how they lost 80 billion dollars on Reality Lab?
Why isn't he focusing on building a good product? improving SNS instagram, facebook, whatsapp? Instead of burdening it with ads after ads? Why is he keep shifting his attention and focus onto things that he has 0 expertise / experience in?
I believe he will spend another $130 billion + next year. If he fails this project. Blowing $300 billion dollars + 80 billion dollars Reality labs into waste, he really needs to step down and take accountability. I have never seen anything like this in the history of public traded market.
reality labs is always treated like some massive failure but that number is overblown. reality labs has literally spawned and continues to refine terrific hardware including the ray-ban metas which have been wildly successful. the actual software side of the “metaverse” only lost like $4 billion to build and host + VR and AR is going to eventually be the future and META will be ahead of everyone. even Apple tried to get in it with the Vision Pros and they did a good job but the main competitor was Meta’s Quest headsets which are a 1/4 of the cost of Vision Pros and sold much better.
also AI isn’t just some b2c thing. there is no “product”… the product is Metas existing products. AI is very expensive to run and maintain + compute infrastructure has a very high upfront cost. META’s massive CAPEX is only partially about a B2C product.. the majority of it is going towards investing heavily into hardware, land, and construction costs to build out entire data centres… this way they won’t have to ever rely on Amazon, Google, Microsoft, etc for hosting. and this way they can also choose to enter the cloud business which is highly profitable and they would be coming after AWS/azure/google cloud market share. anyway the point is Meta’s CAPEX is primarily for themselves, not about some consumer “product”. consumer AI products don’t make money… look at what’s happening with OpenAI. Anthropic is doing much better because it’s much more pay walled but also they’re getting the majority of their revenue from B2B. Zuck already said he’s going to prioritize using it to optimize the existing algorithms across meta’s ecosystem first. sentiment is just bad because every year there’s people like you crying the same song and dance about him being incompetent, and every year meta makes more and more money. don’t forget he was a 19 year old kid and he has taken it from nothing to a trillion dollar company. it’s not something to discount.
- Let's just talk numbers. What is the profit on that 80 billion investment on Reality Labs? How many customers do we have for metaverse?
- Most of the compute is not going for their core products (ex. Advertising). It is massively going to LLM and for so called personal intelligence. Tell me.. again.. what is this for? Why are we all of sudden competing against Anthropic, OpenAi, Google, Microsoft? And 10 other LLM models?
- as i said the “$80b on reality labs” talking point is lazy. that’s over years of r&d, it’s not like one cheque that Zuck burned for fun. Meta makes $50b+ in revenue every quarter, so even if it was all “burned,” acting like $80b over YEARS is some company ending disaster is insane…and once again, it wasn’t burned. you could argue Apple “burns” 40 billion a year on R&D but no one sees that way and for GOOD reason.
they make more then enough money to have spent that 80B.. but to put in perspective Reality Labs gave them next gen Quest software + hardware, the Ray-Ban Metas, AI glasses software, future wearables, HUD tech, and even the neural interface band prototypes they showed at connect last year. too many bozos, including apparently you, act like reality labs was just some shitty software only “metaverse”sandbox with no users. Meta dominates VR/AR, which is going to matter a lot in the future specially when it gets combined with neural communication interfaces.
- how do you believe that compute is “just for LLMs”? as i briefly touched on already, AI’s end game certainly is NOT $20/m chatbot subscriptions from consumers. LLMs being the key is such a surface level view of AI. ML/AI optimization goes way deeper than consumer chatbots. it’s ad optimizations, social media ranking, algorithm recommendations to keep people hooked, content moderation, automation, productivity, creator tools, search, agents, and basically the entire backend of how the platforms improve. data centres and the concept of compute infrastructure have existed and played a huge role since the 1980s IBM era. the scale and demand are obviously way higher now, and the hardware is way more expensive, but it’s also way more powerful. all that’s changed is the power, scale, and demand.
Zuck was already buying tons of GPUs and building out hardware infra for instagram reels to compete with tiktok in 2019-2021 (this is before the LLM craze) how do you think all the data for the multiple BILLIONs of users they have is stored, processed, and optimized? how do you think the algorithms work? how do you think they keep approx 2,000,000,000 people hooked on their platforms EVERY MONTH to the point lawmakers compare them to “big tobacco”? all of it requires massive compute, and all of it is tied to pattern learning / machine learning / AI and it has been for years. the basic concepts of a transformer (backbone of LLMs) has been in use since 2017 and before that META was using RNNs and CNNs all through out the 2010s (neural networks to process and optimize data targeting) these ML concepts aren’t fresh.
The market is pricing in the fact that the Zucc can't ever be fired as the CEO or chairman of META, which means that he can act against shareholder interest as much as he wants. Which he has done before. Naturally, investors are cautious in placing their money in a company that might torch it at will.
The dilution panic is overblown tbh. Trademates flags META as a MODERATE RISK buy - the fundamentals are solid with 26% revenue growth and 32% net margins. The catalyst here isn't the equity raise itself, it's the market overreacting to AI spending fears while ignoring the cash cow ad business. My action plan: I'd wait for a dip to $550-560 for a better entry, but if you're long-term bullish, current levels aren't terrible. The risk/reward breaks above $620 on a confirmed AI catalyst.
For me, the main catalysts are the monetization of subscriptions across their social media platforms — especially Instagram — followed by the reduction in net losses from Labs/the metaverse, and the ROI from AI (which is already happening) increasing click-through rates and ad pricing.
If all these happen META must be valuated at 30x P/E or 30x EV/FCF (adjusted to growth capex)
You are spot on about the monetization of subscriptions and AI ROI. The market is missing that even small improvements in conversion from AI at Meta's scale translate into massive revenue, and if Labs losses shrink, the earnings jump is automatic. A 30x multiple is reasonable if those catalysts play out. So lets see how the Zuck plays this out.
Zucks personality nerfs the stock. It will eventually go up in spite of him because at its core it is the most successful communication and advertising business in history and hard to imagine that ever changing at this point. People site spending and failures on new ventures. But humans can’t comprehend the number 2 billion. Theres no competitor. If you think TikTok and Reddit and YouTube compete with meta you don’t understand what meta is. 2 Billion. Thats how many people log onto a meta product to communicate. A really interesting phenomenon .
I completely agree with you. I also think people lack financial literacy. Furthermore, the media is opaque and plays on emotions, and that's why so many people are frustrated
If they decide to finance themselves with mandatory convertible preferred shares, the dilution and the return on investment are truly immediate. I don't think the shareholder's stake will be diluted at all, even though it's a "capital increase"... The key lies in the nature of this type of share
I'm sorry to tell you that you're completely wrong. Let me explain: Meta is the only one that has actually reported a return on its AI investment. If you read their Q1 press release, you'll see that something that "was never going to be possible" has happened: ad views have increased, and ad prices have risen simultaneously. According to Meta, this is thanks to AI
Great business, prints cash undervalued but capex is bigger concern here then any other mag7 sucks notorious for blowing cash on stupid shit
The fact that meta, despite numerous attempts to breakout of the social media mold, has not been able to. So yes, it should be trading at a discount to the other FAANG companies
My screeners hardly ever pick up big tech names, but yesterday I caught that my Greenblatt one did (Magic Formula derived).
The market is mis pricing META, but opposite of what you're describing. They're over spending and destined for -70% unless they have some type of miracle product.
I think even if AI is a complete damp squib Meta can just stop spending and it will still be a business generating billions in operating cash flow.
I just wonder what exactly their AI strategy is, because it doesn’t seem worth it. There’s nothing they are doing with it that would require more than a wrapper on any of the other top models. That’s it you believe the narrative that AI actually is increasing profits in their advertising. Anyone still using Facebook will tell you that it is crammed with advertisements now. Many for scam China products that use generative AI to convince boomers to buy junk. I guess I’m that sense their AI does in fact improve marketing. I think the Meta glasses are interesting and would be open to buying in a couple more models that make the frames a little thinner. I’m just not sure the money they are burning on AI infrastructure is going to pay off thr way buying Instagram did.
Have you read the post?