Safran SA (SAFRF) Fair Value & Analysis
Industrials · US · Market cap $157B
Fair value as of: Jun 24, 2026
Analysis
Safran SA (SAFRF) currently trades at $377.32, while our model-based Fair Value estimate is $251.90 — implying the stock looks roughly 33.2% overvalued today. We read business quality at 94/100 (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
Safran SA, together with its subsidiaries, engages in the aerospace and defense businesses in France, rest of Europe, the Americas, the Asia-Pacific, Africa, and the Middle East. The company operates through three segments: Aerospace Propulsion; Aircraft Equipment, Defense and Aerosystems; and Aircraft Interiors. The Aerospace Propulsion segment designs, develops, produces, and markets propulsion and mechanical power transmission systems for commercial aircraft, military transport, training and combat aircraft, civil and military helicopters, and drones; and offers maintenance, repair, and overhaul (MRO) services, as well as sells spare parts. The Aircraft Equipment, Defense and Aerosystems segment provides landing gears and brakes; nacelles and reversers; avionics, such as flight controls and onboard information systems; security systems, including evacuation slides and oxygen masks; onboard computers and fuel systems; electrical power management systems and related engineering ser…
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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.