Racing Force S.P.A. (ALRFG) Fair Value & Analysis
Consumer Cyclical · FR · Market cap €132M
Fair value as of: Jun 24, 2026
Analysis
Racing Force S.P.A. (ALRFG) currently trades at €4.78, while our model-based Fair Value estimate is €2.38 — implying the stock looks roughly 50.2% 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
Racing Force S.P.A. engages in the production of safety equipment for the racing and motorsport industry in the Americas, Asia, Oceania, Europe, the Middle East, and Africa. It offers racewear, car parts, and accessories under the OMP brand; helmets for various forms of car racing under the Bell Racing Helmets brand; communication technology for the sports industry under the Zeronoise brand; motorsport clothing and accessories under the Racing Spirit brand; head protection solutions under the High Protection Systems brand. The company also provides safety components, including fireproof and anti-abrasive suits, helmets, intercoms, gloves, shoes, and others, as well as safety components for racing cars, such as seats, seat belts, steering wheels, roll bars, fire extinguishers and other car components. It sells its products to dealers, distributors, teams, car manufacturers, and individuals under OMP, Bell Helmets, Zeronoise, Racing Spirit, B2 Helmets, and Sports Mini Line brands. The…
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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.