Mersen S.A (MRN) Fair Value & Analysis
Industrials · FR · Market cap €1.0B
Fair value as of: Jun 24, 2026
Analysis
Mersen S.A (MRN) currently trades at €42.32, while our model-based Fair Value estimate is €18.07 — implying the stock looks roughly 57.3% overvalued today. We read business quality at 93/100 (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
Mersen S.A. manufactures and sells electrical power products and advanced materials in France, North America, rest of Europe, the Asia-Pacific, and internationally. It operates through two segments, Electrical Power and Advanced Materials. The company offers fuses, fuse holders and systems, surge protection, accessories, power distribution blocks, IEC fuse switch disconnectors, low-voltage and high power switches, capacitors, cooling, power transfer for rail, isostatic and extruded graphite, bus bar, engineered panels, graphite bursting discs, and heat exchangers, as well as PTFE bellows, pipes, and fittings products and solutions. It also provides carbon brushes, brush-holders, carbon insulation, SSiC, process technologies, carbon/carbon composite, slip rings, DC protection for EV and batteries, corrosion resistant materials, brush gear assembly housing, signal and power transfer systems, dust collectors, industrial current collectors, and power stacks, as well as columns, reactors…
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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.