Is Yelp (YELP) stock undervalued in 2026?

2026-07-10 · By Lubin Danilo, founder of Lubin Investment

YELP: see the full analysis on Lubin Investment

Yelp scores nearly perfect on quality in my filter: solid margins, high return on capital, almost no debt. It also trades well below its sector's median valuation. The real doubt is slowing growth as AI search rises. Here is how I read this file without deciding blindly.

The prejudice that sticks to Yelp

Think of Yelp and you probably picture a relic of the 2010s web, overtaken by Google reviews. That prejudice has a price: the stock has been left behind while the numbers tell a different story.

What Yelp actually does today

Yelp sells advertising to local businesses: restaurants, plumbers, dentists, auto shops. A business pays to appear higher in results or to have competing ads removed from its page. In 2025 this business brought in a record near 950 million dollars, up 8% year over year, while restaurant and retail advertising fell 6%. Not every segment is equal.

For 2026, Yelp guides to 1.455 to 1.475 billion dollars in revenue and is spending more on artificial intelligence: an AI assistant for consumers, AI tools for businesses, a deal with OpenAI, and the purchase of Hatch, an AI lead management platform already at 25 million dollars in revenue growing 70% a year.

Quality that ticks almost every box

My filter gives Yelp a 9 out of 10 quality score. One number sums it up: its free cash flow margin reaches 10.5%. Free cash flow is the money truly left in the bank once every bill is paid; a 10.5% margin means that out of 100 dollars of revenue, 10.50 dollars end up as genuinely available cash. Return on invested capital, the cash generated each year for every dollar put into the business, climbs to 38.3%, a high level that says the money reinvested is working hard.

Another telling sign: Yelp is shrinking its share count by 3.45% a year. It buys back its own shares rather than diluting shareholders, and its net debt equals only 0.13 year of free cash flow, next to nothing.

Why is slowing growth the one catch?

The one criterion that fails in my filter is sales growth: 9.6% a year over 5 years, just under my 10% bar. Not dramatic, but this is no longer the conquering Yelp of a decade ago. On the flip side, free cash flow per share has grown 58.5% a year on average over the period, helped by buybacks and improving margins. A gap between sales and cash per share worth watching, not ignoring.

The price: one of the cheapest stocks in its sector

Yelp currently trades at 9.9 times its free cash flow. In its sector (internet content and information, 52 comparable companies in my data), the median sits at 17.7 times. Yelp costs almost half as much as the median company in its sector. Across every stock I track, it ranks among the cheapest 6%.

My model even computes a reasonable buy price of 128.63 dollars, far above the current 25.81 dollar price. Such a wide gap deserves caution: it extrapolates a 58.5% a year growth in cash per share that will be hard to repeat while sales slow down. I prefer to lean on the plainer comparison against the sector: it already says Yelp is not expensive.

The real risk: what if nobody searched on Yelp anymore?

The danger hanging over Yelp is not new but is becoming more concrete: answers generated directly by AI search engines increasingly answer local questions without sending traffic to a third party site. If users stop at the AI answer and never land on a Yelp page, the whole advertising model is threatened. Yelp knows it: that is the whole point of its bet on its own AI assistant and its OpenAI deal, rather than absorbing the shift passively. On top of that, analysts are watching review integrity more closely, a sensitive topic for a platform that lives on the trust people place in it.

How I decide

Yelp ticks 9 quality criteria out of 10 and trades at a fraction of its sector's price. On paper, that combination is rare. I am not pretending the file is risk free: growth is slowing, and the real question is whether AI will dry up the traffic that feeds Yelp or whether its own AI pivot will be enough to defend it. I keep Yelp on my watchlist rather than call it an obvious buy: quality and price are both there, what is still missing is conviction on the thesis. That is exactly why, without trusting my mood, I built <a href="/analyse/YELP">my full page on Yelp</a>, which applies <a href="/blog/note-10-sur-10-criteres-qualite-action">my 10 quality criteria</a> to any stock in <a href="/screener">my screener</a>.

• Yelp scores 9 out of 10 quality criteria in my filter: 10.5% cash margin, 38.3% return on capital, next to no debt.
• The stock trades at 9.9 times free cash flow, versus 17.7 times for its sector median: among the cheapest 6% of my universe.
• One catch: sales growth is slowing to 9.6% a year, below my 10% bar.
• The real risk is structural: AI generated answers could shrink the traffic that feeds Yelp's advertising model.
• Quality and price together do not mean an automatic buy: I watch the thesis before deciding.

FAQ

What exactly is P/FCF?

The share price divided by the free cash flow generated per share each year. A P/FCF of 9.9 means you are paying today the equivalent of 9.9 years of that cash. The lower it is, the cheaper the stock, quality being equal.

Why is Yelp cheaper than its sector?

Because the market doubts its future growth given competition from Google reviews and AI answers, even though current results stay solid. The price reflects fear, not necessarily today's numbers.

Is 9.6% annual growth a problem?

It is not a collapse, but it sits below the 10% a year over 5 years bar I use to judge a company's commercial strength. Worth watching quarter after quarter.

Should you buy Yelp now?

It depends on your conviction that Yelp can defend its traffic against AI. The price is low and the quality is there, but this is not investment advice: do your own research.

YELP: see the full analysis on Lubin Investment

About the author

Written by Lubin Danilo, founder of Lubin Investment. A self-taught individual investor, I find fundamental analysis fascinating, and it has delivered excellent results. For three years now, my performance has beaten the S&P 500. But analyzing every stock took too much time: sites with incomplete data, calculation methods and criteria never aligned with mine. And spotting the best stocks was just as time-consuming, even with my own well-defined checklist. So I put my software development background to work to build this software, base my investment strategy on its results, and share it with people who share the same passion as me. It judges a company's quality and its price separately, using criteria drawn from the financial literature (Warren Buffett, Michael Mauboussin, Aswath Damodaran).