Forbo Holding (FORN) Fair Value & Analysis
Industrials · CH · Market cap CHF 1.1B
Analysis
Forbo Holding (FORN) currently trades at CHF 736.00, while our model-based Fair Value estimate is CHF 643.42 — implying the stock looks roughly 12.6% 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
Forbo Holding AG engages in the production and sell of floor coverings, building and construction adhesives, and belt for power transmission and conveyor technology worldwide. The company operates through two divisions, Flooring Systems and Movement Systems. The Flooring Systems division develops, produces, and sells linoleum, vinyl floorings, entrance flooring systems, carpet tiles, and needle felt floor coverings; Flotex, the washable textile floorings; and building and construction adhesives, as well as various accessory products for laying, processing, cleaning, and care of flooring. This division also provides installation solutions, including adhesives, subfloors, and leveling compounds under the trade name of Eurocol. Its products are used in healthcare, education, public buildings, retail, hospitality, data centers, industrial facilities, and transport sector. The Movement Systems division develops, produces, and sells conveyor and processing belts; plastic modular belts; po…
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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.