OSAI Automation System S.p.A (OSA) Fair Value & Analysis
Industrials · IT · Market cap €6.2M
Fair value as of: Jun 25, 2026
Analysis
OSAI Automation System S.p.A (OSA) currently trades at €0.3820, while our model-based Fair Value estimate is €0.4700 — implying the stock looks roughly 23.0% undervalued today. We read business quality at 92/100 (high quality), in the Industrials 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
OSAI Automation System S.p.A. engages in the automation, electronics and applied laser, semiconductor, and service businesses in Italy, Asia, Africa, the Americas, and rest of Europe. Its Automation division designs, manufactures, and markets custom automatic lines and systems for assembly, and testing and inspection of components in various markets, such as automotive, e-mobility, medical, and home appliance. The company's Electronics and Laser Applied division engages in the design, production, and marketing of laser systems for manufacturers of electronic boards or micromechanical applications, such as production of medical devices. Its Semiconductor division designs, manufactures, and markets automated systems for the handling and testing of power and signal semiconductors for semiconductor manufacturers. The company's Service/After Sales division offers after-sales services, as well as provides on-site or remote technical assistance and spare parts. OSAI Automation System S.p.A…
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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.