Assystem S.A (ASY) Fair Value & Analysis
Industrials · FR · Market cap €645M
Fair value as of: Jun 24, 2026
Analysis
Assystem S.A (ASY) currently trades at €41.40, while our model-based Fair Value estimate is €12.83 — implying the stock looks roughly 69.0% 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
Assystem S.A. provides engineering and infrastructure project management services in France, the United Kingdom, and internationally. The company offers siting, licensing, environmental services, system engineering and design, construction management and commissioning, and nuclear safety and risk, as well as project management office, project controls, project management consultancy consulting, and other consulting services. It also provides digital transformation consulting, engineering information systems, data as a source of value, 3D immersive technologies and tools, industrial control systems and cybersecurity, and security and site protection systems. It serves nuclear, hydrogen, renewables, grids, transportation, cities and territorial development, and defense sectors. In addition, the company offers decommissioning and waste processing, treatment, and storage services. The company was formerly known as AssystemBrime S.A. and changed its name to Assystem S.A. in June 2005. As…
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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.