Light & Wonder, Inc (LNW) Fair Value & Analysis
Consumer Cyclical · US · Market cap $7.0B
Analysis
Light & Wonder, Inc (LNW) currently trades at $86.22, while our model-based Fair Value estimate is $76.58 — implying the stock looks roughly 11.2% overvalued today. We read business quality at 95/100 (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
Light & Wonder, Inc. operates as a cross-platform games company in the United States and internationally. The company operates through three segments: Gaming, SciPlay, and iGaming segments. The Gaming segment sells game content and gaming machine; video gaming terminals; video lottery terminals, including conversion kits and spare parts; and table game products, including automatic card shufflers, deck checkers, table roulette chip sorters and other land-based table gaming equipment. It also leases or provides gaming content, gaming machines, and server-based system; sells and supports casino-management system based software and hardware; and licenses proprietary table games content to commercial, tribal, and governmental gaming operators. The SciPlay segment develops, markets, and operates social games on various online platforms. It sells virtual coins, chips, or bingo cards, which players can use to play slot games, table games, and bingo games. The iGaming segment provides a sui…
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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.