Galaxy Gaming, Inc (GLXZ) Fair Value & Analysis
Consumer Cyclical · US · Market cap $46.1M
Fair value as of: Jun 24, 2026
Analysis
Galaxy Gaming, Inc (GLXZ) currently trades at $1.61, while our model-based Fair Value estimate is $1.63 — implying the stock looks roughly 1.2% 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: high) — always confirm before acting.
About the company
Galaxy Gaming, Inc., a gaming company, engages in the design, development, acquisition, assembly, marketing and licensing of proprietary casino table games, side bets, and associated technology, platforms and systems for the casino and iGaming industries. The company's proprietary table games comprise side bets, which are proprietary features and wagering options added to public domain games, such as baccarat, pai gow poker, craps, and blackjack table games under the 21+3, Lucky Ladies, and Bonus Craps brand names; and premium games, which are stand-alone games with their own set of rules and strategies under the Heads Up Hold 'em, High Card Flush, Cajun Stud, Three Card Poker, and EZ Baccarat names. It also offers other ancillary equipment, as well as licenses various game titles to operators of online gaming systems. The company markets its products to online casinos worldwide; land-based casino gaming companies in North America, the Caribbean, Central America, the United Kingdom,…
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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.