OC Oerlikon Corporation (OERLF) Fair Value & Analysis
Industrials · US · Market cap $1.4B
Analysis
OC Oerlikon Corporation (OERLF) currently trades at $4.35, while our model-based Fair Value estimate is $5.86 — implying the stock looks roughly 34.9% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
OC Oerlikon Corporation AG provides surface engineering, polymer processing, and advanced manufacturing services in Europe, the Americas, and the Asia-Pacific. The company operates through The Oerlikon Division and The Barmag Division. It offers actuation systems, aircraft interior, cold plates, engine fan and compressors, engine hot section, heat exchanger, hydraulic systems, landing gears, RF components, and rocket engine components for aerospace sector. The company also provides brake and safety systems, drive train, engine systems, exhaust systems, exterior, green hydrogen, heat exchangers and EGR coolers, interior, lighting, peripherals and design parts, piping and tubing systems, steering and suspension, thermoelectrical isolation system, and transmissions for automotive sector. In addition, it offers boiler, gas turbines, hydro turbines, green hydrogen, oil and gas, steam turbines, and wind turbines for energy sector; cutting, die casting, metal forming, and plastic processin…
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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.