Dätwyler Holding (DAE) Fair Value & Analysis
Industrials · CH · Market cap CHF 2.7B
Analysis
Dätwyler Holding (DAE) currently trades at CHF 159.20, while our model-based Fair Value estimate is CHF 93.00 — implying the stock looks roughly 41.6% 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
Dätwyler Holding AG engages in the production and sale of elastomer components for healthcare, automotive, industries, and food and beverage industries in Switzerland, rest of Europe, North and South America, Asia, and internationally. It operates in two divisions, Healthcare and Industrial. The Healthcare division offers rubber components for prefilled syringes, pens, and injection systems; components and closures for injectable drugs in vials; and rubber components for blood collection systems, IV administration sets, disposable syringes, diagnostics and medical devices, etc. The Industrial division provides batteries and powertrains in electric vehicles, brake systems, interior and active assistance and safety systems in various cars, as well as fuel and engine management and exhaust gas aftertreatment in combustion engines; seals and components for electrical connectors; sealing solutions; and sealing components for upstream systems in the oil and gas, aerospace, heavy machinery…
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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.