Brightstar Lottery PLC (BRSL) Fair Value & Analysis
Consumer Cyclical · US · Market cap $2.1B
Fair value as of: Jun 24, 2026
Analysis
Brightstar Lottery PLC (BRSL) currently trades at $10.82, while our model-based Fair Value estimate is $17.49 — implying the stock looks roughly 61.6% undervalued today. We read business quality at 83/100 (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
Brightstar Lottery PLC provides lottery solutions in the United States, Italy, rest of Europe, and internationally. The company designs, sells, operates, and leases a suite of point-of-sale machines that reconciles lottery funds between the retailer and the lottery authority; operates and provides lottery transaction processing systems; produces instant ticket games; and offers printing services, such as instant ticket marketing plans and graphic design, programming, packaging, shipping, and delivery services, as well as lottery management services; instant lottery systems; and iLottery, a platform that provides access to eInstant and draw games. It also processes commercial transactions, such as prepaid cellular telephone recharges, bill payments, e-vouchers and retail-based programs, electronic tax payments, prepaid card recharges, stamp duty, and money transfer services; sells additional machines and central computers to expand existing systems or replace existing equipment; and …
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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.