Thermador Groupe SA (THEP) Fair Value & Analysis
Industrials · FR · Market cap €642M
Analysis
Thermador Groupe SA (THEP) currently trades at €67.60, while our model-based Fair Value estimate is €100.88 — implying the stock looks roughly 49.2% 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
Thermador Groupe SA, together with its subsidiaries, engages in the distribution business in France and internationally. The company offers central heating and domestic hot water accessories, pumps for heating, plumbing equipment, taps, valves for building, ventilation equipment and accessories, industrial valves and fittings, cold water pumps, swimming pool equipment and accessories, air compressors, generators, and welding stations. It also provides pneumatic tools; pumps, household valves, and plumbing for DIY superstores; bathroom and kitchen taps for DIY superstores and retail outlets; sale of parts to boiler manufacturers; domestic pumps and pump accessories; accessories and connectors for central heating and domestic water, and plumbing fitments; pipework for the distribution of building fluids; and valves and connectors for building and industry. In addition, the company offers motorised valves and specialty products for industry and air compressors; technical equipment for …
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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.