thyssenkrupp AG (TYEKF) Fair Value & Analysis
Industrials · US · Market cap $7.4B
Fair value as of: Jun 26, 2026
Analysis
thyssenkrupp AG (TYEKF) currently trades at $12.50, while our model-based Fair Value estimate is $16.99 — implying the stock looks roughly 35.9% undervalued today. We read business quality at 91/100 (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: high) — always confirm before acting.
About the company
thyssenkrupp AG, together with its subsidiaries, provides industrial and technology solutions and services in Germany and internationally. The company operates in five segments: Automotive Technology, Decarbon Technologies, Materials Services, Steel Europe, and Marine Systems. It offers axle assembly and logistics, body in white, camshafts and electric engine components, carValoo, dampers, dies, plant engineering for batteries and powertrain, prototypes, serial production, springs and stabilizers, steering, crankshafts and conrods, thermal management, and undercarriages, as well as systems, automation, and mechatronic solutions; and slewing bearings and rings, chemical plants, coke plant technologies, green ammonia, methanol, and hydrogen, high-pressure processing, refinery services and cement plants. The company also provides alloys, logistics services, industrial minerals, material services, nonferrous metals, plastics, and stainless steel; composite materials, cut-to-length sheet…
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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.