EssilorLuxottica Société anonyme (ESLOY) Fair Value & Analysis
Healthcare · US · Market cap $93.8B
Analysis
EssilorLuxottica Société anonyme (ESLOY) currently trades at $95.66, while our model-based Fair Value estimate is $60.37 — implying the stock looks roughly 36.9% overvalued today. We read business quality at 94/100 (high quality), in the Healthcare sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
EssilorLuxottica Société anonyme designs, manufactures, and distributes ophthalmic lenses, frames, sunglasses, and instruments and equipment in North America, the Middle East, Africa, Europe, Latin America, and the Asia-Pacific. It offers lens, eyewear, contact lenses, reading glasses under Essilor, Varilux, Crizal, Eyezen, Stellest, Xperio, Transitions, Ray-Ban, Oakley, Barberini, KODAK Lens, Nikon, Shamir Optical, eyexpert, iWear, Humanware, Optifog, Persol, Oliver Peoples, Vogue Eyewear, Arnette, Alain Mikli, Costa, Bliz, Native Eyewear and Bolon, and Foster Grant brands. The company also provides vision assessment, eye pathology diagnosis and treatment, finishing equipment, fitting parameter measurement, small tools, and consumables. In addition, it offers SPECTRALIS, a multimodal imaging platform for diagnosis and treatment; RetinAI; Espansione Group; Cellview Imaging; ANTERION, a multidisciplinary all-in-one anterior segment imaging solution for measurements; apparel, footwear…
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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.