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Lottomatica Group (LOTMY) Fair Value & Analysis

Consumer Cyclical · US · Market cap $7.0B

Price$29.47
Fair Value$16.93
Upside-42.5%
Quality93/100
Evidence: High Range $12.70 – $29.74

Analysis

Lottomatica Group (LOTMY) currently trades at $29.47, while our model-based Fair Value estimate is $16.93 — implying the stock looks roughly 42.5% overvalued today. We read business quality at 93/100 (high quality), in the Consumer Cyclical sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

Lottomatica Group S.p.A., together with its subsidiaries, operates in the gaming market in Italy. The company operates through Online, Sports Franchise, and Gaming Franchise segments. The Online segment provides a range of online games, such as sports betting, virtual betting, horse betting, online casino games, bingo, poker, betting exchange, and skill games through the GoldBet.it, Better.it, Lottomatica.it, Betflag.it, Totosì.it, and Planetwin365.it websites. The Sports Franchise segment offers various retail offerings, such as sports betting, virtual betting, and horserace betting under the GoldBet, Intralot, Better, and Planetwin365 brands. The Gaming Franchise segment engages in the management of gaming halls and concession activities for video lottery terminals and amusement with prize machines. Lottomatica Group S.p.A. was incorporated in 2019 and is based in Rome, Italy.

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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.