emeis Société anonyme (EMEIS) Fair Value & Analysis
Healthcare · FR · Market cap €2.4B
Analysis
emeis Société anonyme (EMEIS) currently trades at €14.00, while our model-based Fair Value estimate is €26.26 — implying the stock looks roughly 87.6% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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
emeis Société anonyme operates nursing homes, assisted-living facilities, post-acute and rehabilitation hospitals, and psychiatric hospitals. Its services include concierge, housekeeping, ironing, internet connection, TV, telephone, free shuttles, catering and event organization, access to common areas, logistics support, DIY and gardening assistance, IT support, beauty and relaxation treatments, furniture on rent, fitness and wellness areas, and medical visits. The company's post-acute and rehabilitation hospitals offer services for geriatrics, musculoskeletal, nervous system, cardiovascular, hematology, and oncology conditions, as well as patients in a persistent vegetative state or in a minimally conscious state. Its psychiatric hospitals provide services for the patients with mood disorders, anxiety disorders, obsessive-compulsive disorders, addictions, eating disorders, sleep disorders, personality disorders, schizophrenic disorders, autism spectrum disorders, psychotraumatic d…
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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.