Yelp Inc (YELP) Fair Value & Analysis
Communication Services · US · Market cap $1.3B
Analysis
Yelp Inc (YELP) currently trades at $23.36, while our model-based Fair Value estimate is $57.06 — implying the stock looks roughly 144.3% undervalued today. We read business quality at 95/100 (high quality), in the Communication Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Yelp Inc. operates a platform that connects consumers with local businesses in the United States and internationally. Its platform covers various categories, including restaurants, shopping, beauty and fitness, health, and other categories, as well as home, local, auto, professional, pets, events, real estate, and financial services. It provides free and paid advertising products to businesses, which include cost-per-click advertising and multi-location Ad products, RepairPal network, and business listing pages. The company also offers Yelp Connect that provides advertisers with a channel to market new offerings, such as new menu items and specials, and communicate business updates to customers; Yelp Guaranteed that provides limited coverage to consumers who hire a yelp guaranteed business through request-a-quote in the event; Nearby Jobs solutions; Yelp Guest Manager, a subscription-based suite of front-of-house management tools for restaurants, nightlife, and certain other venues,…
Open the full interactive analysis →
Similar stocks
How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.