Gérard Perrier Industrie S.A (PERR) Fair Value & Analysis
Industrials · FR · Market cap €325M
Fair value as of: Jun 24, 2026
Analysis
Gérard Perrier Industrie S.A (PERR) currently trades at €83.40, while our model-based Fair Value estimate is €88.82 — implying the stock looks roughly 6.5% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Gérard Perrier Industrie S.A. engages in design, manufacture, installation, and maintenance of electrical, electronic, automation, and instrumentation equipment in France and internationally. It engages in the engineering, installation, and maintenance of HV/LV distribution networks, electric drive systems, low current systems, and lighting products; and designs and manufacture of electric boxes, cabinets, and modules. The company is also involved in the study, manufacture, and installation of electronic boards, modules, sub-assemblies, assemblies, man-machine interfaces for on-board systems, built-in automated and electronic systems, switched-mode power supplies and converters for on-board systems, and variators and engine control systems. In addition, the company offers instrumentation services, including new builds, shutdown work, and maintenance services; and design, analysis, and programming techniques for automation supervision and MES systems. Further, it manufactures sub-ass…
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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.