Jacquet Metals SA (JCQ) Fair Value & Analysis
Basic Materials · FR · Market cap €451M
Analysis
Jacquet Metals SA (JCQ) currently trades at €22.70, while our model-based Fair Value estimate is €23.25 — implying the stock looks roughly 2.4% undervalued today. We read business quality at 93/100 (high quality), in the Basic Materials 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
Jacquet Metals SA, together with its subsidiaries, engages in the storage and distribution of special metals in Germany, France, Italy, North America, Spain, the Netherlands, rest of Europe, and internationally. It operates through JACQUET, STAPPERT, and IMS Group segments. The company distributes stainless steel and nickel alloys quarto plates for use in water, environment, energy, mechanical and forged metal construction, chemical and agri-food, gas processing and storage, pharmaceutical, and cosmetic sectors. It is also involved in the distribution of stainless-steel long products in the form of bars, profiles, welded tubes, and fittings that are used in the agri-food, chemical, and petrochemical industries, as well as the pipefitting, energy, transport, and decoration sectors. In addition, the company distributes carbon, alloy, and stainless-steel engineering steels, tool steels, and engineering aluminums used in mechanical engineering, public works machinery, agricultural machi…
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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.