DSM-Firmenich AG (DSMFF) Fair Value & Analysis
Basic Materials · US · Market cap $21.9B
Fair value as of: Jun 24, 2026
Analysis
DSM-Firmenich AG (DSMFF) currently trades at $88.19, while our model-based Fair Value estimate is $38.06 — implying the stock looks roughly 56.8% overvalued today. We read business quality at 91/100 (high quality), in the Basic Materials 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
DSM-Firmenich AG provides nutrition, health, and beauty solutions in Switzerland, the Netherlands, rest of Europe, the Middle East and Africa, North America, Latin America, China, and rest of Asia. The company operates through four segments: Perfumery & Beauty; Taste, Texture & Health; Health, Nutrition & Care; and Animal Nutrition & Health. The Perfumery & Beauty creates scents using natural, synthetic, and biotech ingredients. The Taste, Texture & Health segment provides food and beverages solutions, including flavors, natural extracts, and sugar reduction; and food enzymes, hydrocolloids, cultures, natural colorants, nutritional ingredients, and plant-based proteins. The Health, Nutrition & Care segment provides solutions for the early life nutrition, dietary supplement, pharmaceutical, medical nutrition, biomedical materials, and nutrition improvement markets. This segment also offers vitamins, nutritional lipids, minerals, carotenoids, botanical nutraceuticals, digestive enzyme…
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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.