Gambling.com Group (GAMB) Fair Value & Analysis
Consumer Cyclical · US · Market cap $83.2M
Fair value as of: Jun 25, 2026
Analysis
Gambling.com Group (GAMB) currently trades at $2.19, while our model-based Fair Value estimate is $6.26 — implying the stock looks roughly 185.8% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: medium) — always confirm before acting.
About the company
Gambling.com Group Limited provides marketing and sports data services for the gambling industry in North America, the United Kingdom, Ireland, rest of Europe, and internationally. The company offers digital marketing, and consumer and enterprise data subscription services for iGaming and social casino products. It also provides intra group and ticketing services, as well as fantasy data. In addition, the company offers sports betting and fantasy sports data through its sports data platform and under the OddsJam, OpticOdds, and RotoWire brand names. Additionally, it operates various branded websites, including Gambling.com, Bookies.com, Casinos.com, and Freebets.com. Further, the company operates BonusFinder.com; Spotlight.Vegas, an online booking platform that helps customers access experiences, such as live events and local attractions; and launched website to individual U.S. states and the Canadian states that provide local online gamblers with the news and analysis. Gambling.com…
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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.