Autoneum Holding (AUTN) Fair Value & Analysis
Consumer Cyclical · CH · Market cap CHF 690M
Analysis
Autoneum Holding (AUTN) currently trades at CHF 113.60, while our model-based Fair Value estimate is CHF 177.78 — implying the stock looks roughly 56.5% undervalued today. We read business quality at 86/100 (high quality), in the Consumer Cyclical 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: medium) — always confirm before acting.
About the company
Autoneum Holding AG develops and manufactures acoustic and thermal management solutions for light and commercial vehicles. It offers multifunctional and lightweight components and systems for noise and heat protection. The company also provides engine and e-motor encapsulations, frunks, outer dashes, hoodliners, engine top covers, and outer trunk floor insulators; and underbody products, including under body and battery shields, wheelhouse outer liners, outer tunnel and floor insulators, battery electromagnetic shields, and heatshields. In addition, it offers interior floor products comprising inner dashes, needle punch and tufted carpets, floor insulators, and inner wheelhouse and trunk floor insulators. Further, the company provides interior trims, including trunk side trims, load floors, tailgate trims, and floor carpets and trims, as well as parcel shelves, floor mats, and backseat trims; accessory and gearbox encapsulations, and noise shields; under engine shields; washable sur…
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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.