Wendel (MF) Fair Value & Analysis
Financial Services · FR · Market cap €3.4B
Analysis
Wendel (MF) currently trades at €81.80, while our model-based Fair Value estimate is €115.33 — implying the stock looks roughly 41.0% undervalued today. We read business quality at 80/100 (high quality), in the Financial Services 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: medium) — always confirm before acting.
About the company
Wendel is a private equity firm specializing in equity financing in middle markets and later stages through leveraged buy-out and transactions and acquisitions. It invests in both listed and non-listed companies. The firm also invest in private debt and secondary. The firm typically invests in btob, education technology, energy transition, technology services, software, business services, healthcare, and industrial technology. The firm seeks to invest in Africa, Europe, European Developed Markets, Western Europe, particularly France, and North America (United States and Canada). It invests between 300 million ($354.04 million) and 800 million ($944.12 million). It targets majority/control/large minority investments in listed or unlisted companies. The firm seeks to take a seat on the board of directors or supervisory board and key committees of its portfolio companies. It makes balance sheet investments. Wendel was founded in 1704 and is headquartered in Paris, France with additiona…
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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.