The Estée Lauder Companies Inc (ESLA) Fair Value & Analysis
Consumer Defensive · AT · Market cap €28.0B
Fair value as of: Jun 24, 2026
Analysis
The Estée Lauder Companies Inc (ESLA) currently trades at €73.46, while our model-based Fair Value estimate is €33.04 — implying the stock looks roughly 55.0% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: medium).
About the company
The Estée Lauder Companies Inc. manufactures, markets, and sells skin care, makeup, fragrance, and hair care products worldwide. The company offers skin care products, including moisturizers, serums, cleansers, toners, eye care, body care, exfoliators, acne care and oil correctors, facial masks, and sun care products; and makeup products, such as foundations, powders, concealers and setting sprays, lipsticks, lip liners and lip glosses, mascaras, and eyeshadows and eyeliners, as well as compacts, brushes, and other makeup tools. It also provides fragrance products in various forms comprising parfum, eau de parfum, eau de toilette, eau de cologne, and body spray, as well as lotions, creams, powders, candles and soaps; and hair care products, including shampoos, conditioners, styling products, treatment, finishing sprays, and hair colour products, as well as sells ancillary products and services. The company offers its products under the La Mer, Jo Malone London, TOM FORD, AERIN Beaut…
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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.