Elis SA (ELIS) Fair Value & Analysis
Industrials · FR · Market cap €6.0B
Analysis
Elis SA (ELIS) currently trades at €26.68, while our model-based Fair Value estimate is €33.67 — implying the stock looks roughly 26.2% 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
Elis SA provides flat linen, workwear, and hygiene and well-being solutions in France, Central Europe, Scandinavia, Eastern Europe, the United Kingdom, Ireland, Latin America, Southern Europe, and internationally. It offers accommodation, catering, and healthcare and social linens; workwear and personal protective equipment; beverage solutions, such as bottled water cooler, coffee bean machine, networked water cooler, and pod coffee machine; floor protection mats and mops; industrial wipers; and pest and rodent control, insect control, or disinfection services. The company provides washroom hygiene services, such as hand washing and drying, toilet hygiene and urinals, lavatories, and air fragrancing; and reusable cleanroom garments, footwear, goggles, and equipment solutions, as well as cleaning systems. In addition, it offers various solutions for collection and disposal of infectious waste. The company serves the catering, accommodation, healthcare and social welfare, industries, …
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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.