Fuchs SE (FPE3) Fair Value & Analysis
Basic Materials · DE · Market cap €5.1B
Analysis
Fuchs SE (FPE3) currently trades at €39.44, while our model-based Fair Value estimate is €79.42 — implying the stock looks roughly 101.4% undervalued today. We read business quality at 95/100 (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
Fuchs SE, together with its subsidiaries, develops, produces, and distributes specialty lubricants and functional fluids in Europe, the Middle East, Africa, the Asia Pacific, and North and South America. The company offers automotive and industrial lubricants, such as biodegradable lubricants, central and mobile hydraulic oils, dry coatings, engine and gear oils, motorcycle/two wheelers, service fluids, chain lubricants, machine oils, open gear lubricants, compressor and refrigeration oils, release agents, slideways oils, fluids and industrial oils, hydraulic oils, and textile machine and turbine oils, as well as various oils for the agriculture sector. It also provides lubricating greases comprising assembly pastes, biodegradable and food grade greases, multi-purpose/long-life greases, pastes for extreme temperatures, perfluorinated pastes, and wheel bearing greases, as well as gear boxes; and greases for central lubricating systems, extreme temperature, machine tools, plain and ro…
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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.