Inspired Entertainment, Inc (INSE) Fair Value & Analysis
Consumer Cyclical · US · Market cap $213M
Fair value as of: Jun 24, 2026
Analysis
Inspired Entertainment, Inc (INSE) currently trades at $7.73, while our model-based Fair Value estimate is $12.99 — implying the stock looks roughly 68.0% 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
Inspired Entertainment, Inc., a gaming technology company, supplies content, platform, and other products and services to online and land-based regulated lottery, betting, and gaming operators in the United Kingdom, Greece, and internationally. It operates in four segments: Gaming, Virtual Sports, Interactive, and Leisure. The Gaming segment supplies gaming terminals and software to licensed betting offices, casinos, gaming halls, and adult gaming centers; a portfolio of games through its digital terminals under the Gold Cash Free Spins, Golden Winner, Cops n Robbers Big Money, Big Piggy Bank, and Wolf it Up; and a range of traditional casino games, such as roulette, blackjack, and number games. This segment also offers Velos, Vantage Slant, Astra's Community Party, Valiant, Vantage Cat C, Vantage, Valor, Prismatic B3, Prismatic Cat C, Ipub3, Sabre Hydra, Eclipse, and Flex gaming cabinets. Its Virtual Sports segment designs, develops, markets, and distributes games, including greyho…
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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.