Knorr-Bremse AG (KNRRY) Fair Value & Analysis
Consumer Cyclical · US · Market cap $19.3B
Fair value as of: Jun 24, 2026
Analysis
Knorr-Bremse AG (KNRRY) currently trades at $29.40, while our model-based Fair Value estimate is $19.88 — implying the stock looks roughly 32.4% overvalued today. We read business quality at 94/100 (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
Knorr-Bremse AG, together with its subsidiaries, develops, produces, and markets brake systems for rail and commercial vehicles and other safety-critical systems worldwide. It operates in two segments, Rail Vehicle Systems and Commercial Vehicle Systems. The Rail Vehicle Systems segment offers braking systems, entrance and HVAC systems, sanitary systems, coupling systems, digital solutions, smart services for optimizing rail traffic, power electrics, rail computing and communication (RCC)/TCMS, signaling systems, stationary and mobile testing equipment, windshield wiper and wash systems, and extensive aftermarket solutions. The Commercial Vehicle Systems segment provides pneumatic braking systems comprising brake control systems, disk brakes, drum brakes, brake cylinders, valves, and pedal units; steering systems; vehicle dynamics solutions, such as anti-lock braking systems and electronic stability programs; driver assistance systems; automated driving and electronic leveling contr…
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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.