The Rank Group (RANKF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $492M
Analysis
The Rank Group (RANKF) currently trades at $1.50, while our model-based Fair Value estimate is $2.21 — implying the stock looks roughly 47.3% 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
The Rank Group Plc, together with its subsidiaries, engages in provision of gaming services in the United Kingdom, Europe, and internationally. The company operates through Grosvenor Venues, Mecca Venues, Digital, and Enracha Venues segments. It also offers casino table games, including roulette, blackjack, baccarat, and poker, as well as electronic roulette and gaming machine; and community games, such as bingo, food and drink, and live entertainment; and electronic casino and slots and sports betting solutions. In addition, the company operates digital channels, including live casino and sports betting, bingo, and slot games; and social and bingo clubs. Further, it offers support services to interactive gaming; and property and marketing services; processes credit transfers; operates parking for social and bingo clubs; and develops and maintains online gaming software. The Rank Group Plc was formerly known as Megastorm Public Limited Company and changed its name to The Rank Group …
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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.