Steyr Motors AG (4X0) Fair Value & Analysis
Industrials · DE · Market cap €191M
Fair value as of: Jun 24, 2026
Analysis
Steyr Motors AG (4X0) currently trades at €32.66, while our model-based Fair Value estimate is €14.48 — implying the stock looks roughly 55.7% overvalued today. We read business quality at 95/100 (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
Steyr Motors AG engages in manufacturing and selling diesel engines for commercial and military vehicles in Europe, North America, Asia and internationally. It operates through two segments: Civil and Defense. The company offers marine and vehicle diesel engines and accessories; license manufacturing, spare parts, and engineering services, including customizing and complete propulsion / power systems, repowering and value preservation, internal combustion engines, modular service range, and in-house test center for engine and component testing, as well as prototyping, series production, contract manufacturing, and licensing services. It also provides boats, manufacturers of locomotives, and generator sets, as well as engine-optimized software solutions with digital networking services. The company was formerly known as Mutares Austria Holding-01 GmbH and changed its name to Steyr Motors AG in October 2024. Steyr Motors AG was founded in 2022 and is based in Steyr, Austria.
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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.