Rosenbauer International AG (ROS) Fair Value & Analysis
Industrials · AT · Market cap €647M
Analysis
Rosenbauer International AG (ROS) currently trades at €57.40, while our model-based Fair Value estimate is €55.50 — implying the stock looks roughly 3.3% overvalued today. We read business quality at 91/100 (high quality), in the Industrials 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
Rosenbauer International AG engages in the provision of systems for preventive firefighting and disaster protection technology worldwide. It develops, produces, and sells a portfolio vehicle, fire extinguishing systems, equipment, and digital solutions for professional, industrial, plant and volunteer fire services. The company offers municipal, ARFF, and industrial and aerial rescue vehicles; aerial ladders and hydraulic firefighting, refurbishment, and rescue platforms; and intervention and limber hose reels, light masts, compartment shutters, logic control systems, roll-on/roll-off containers, and stowage systems. It also provides firefighting helmets and gloves; protective clothing and boots; power generators; fans; submersible pumps; thermal imaging cameras; nozzles; LED lighting systems; HAZMAT and decon equipment; alarms and warning devices; fittings, couplings, and proportioners; respiratory and chemical protection, and measurement technology; firefighting devices and exting…
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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.