Sogefi S.p.A (SGF) Fair Value & Analysis
Financial Services · IT · Market cap 170M THB
Fair value as of: Jun 26, 2026
Analysis
Sogefi S.p.A (SGF) currently trades at 0.1400 THB, while our model-based Fair Value estimate is 0.1512 THB — implying the stock looks roughly 8.0% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services 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: low) — always confirm before acting.
About the company
Sogefi S.p.A. designs, develops, and produces filtration systems, suspension components, air intake products, and engine cooling systems for the automotive industry in Europe, South America, North America, China, and internationally. It operates through two segments, Air & Cooling and Suspensions. The company provides air and cooling products, including intake manifold systems, charged air ducts, air induction systems, thermostat housings and ducts, EV battery cooling plates, and coolant pumps and modules. In addition, the company provides suspension components, such as coil springs, stabilizer bars, precision springs, and leaf springs for use in cars, light and heavy commercial vehicles, earth-moving equipment, and rolling wagons. It offers its products under the Allevard Rejna, LP-DN, Sogefi PRO, and United Springs brands. The company was founded in 1980 and is headquartered in Milan, Italy. Sogefi S.p.A. is a subsidiary of CIR S.p.A. - Compagnie Industriali Riunite.
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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.