Kardex Holding (KARN) Fair Value & Analysis
Industrials · CH · Market cap CHF 2.1B
Analysis
Kardex Holding (KARN) currently trades at CHF 230.00, while our model-based Fair Value estimate is CHF 137.68 — implying the stock looks roughly 40.1% 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
Kardex Holding AG provides intralogistics solutions in Europe, the Middle East, Africa, the Americas, and the Asia Pacific. It operates through two segments, Automated Products and Standardized Systems. The company provides intelligent entry into automation with its dynamic storage and retrieval systems; offers integrated material handling systems, multi-shuttle technology, small parts storage systems and automated high-bay warehouses; storage and picking solutions for small parts; bin shuttle systems for lightgoods; storage and order fulfillment solutions; and life cycle services, as well as system upgrades, support, and digital services. It also provides vertical lift, Buffer, and carousel, as well as horizontal carousel modules; heavy-duty units; cubic bin storage solutions; power pick system; power pick cloud; control centers; machine interface software solutions; java machine interface; mobile data entry; plastic bins designed to store and transport goods for various industries…
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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.