StarragTornos Group (STGN) Fair Value & Analysis
Industrials · CH · Market cap CHF 175M
Fair value as of: Jun 24, 2026
Analysis
StarragTornos Group (STGN) currently trades at CHF 31.90, while our model-based Fair Value estimate is CHF 25.07 — implying the stock looks roughly 21.4% 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
StarragTornos Group AG develops, manufactures, and distributes precision machine tools for milling, turning, boring, grinding, and machining of work pieces of metal, composite materials, and ceramics. The company operates in Starrag and Tornos divisions. It offers high performance systems; horizontal machining systems; large parts machining systems; and ultra precision machining systems, as well as CNC sliding-headstock swiss-type automatic lathes; multispindle machines; and precision machining centers for complex parts. The company also provides technology and after-sales services. It markets its products under the Berthiez, Bumotec, Dörries, Droop+Rein, Heckert, ECOSPEED, Scharmann, SIP, Starrag, Tornos, and TTL brand name. The company serves medical and dental technology, luxury goods, aerospace, energy, and transportation industries. It sales its products in Switzerland, Germany, France, Italy, Spain, Poland, the United Kingdom, the United States, Mexico, Brazil, Asia, China, Th…
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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.