H & M Hennes & Mauritz AB (HMSB) Fair Value & Analysis
Consumer Cyclical · DE · Market cap €24.4B
Fair value as of: Jun 24, 2026
Analysis
H & M Hennes & Mauritz AB (HMSB) currently trades at €14.90, while our model-based Fair Value estimate is €190.71 — implying the stock looks roughly 1,180.4% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: low) — always confirm before acting.
About the company
H & M Hennes & Mauritz AB (publ) provides clothing, accessories, footwear, cosmetics, home textiles, and homeware for women, men, and children worldwide. It offers sportswear, shoes, bags, accessories, ready-to-wear, activewear, and jeans; interior products, including bed linens, towels and tablecloths, tableware, furniture, and lighting; and beauty products, such as make-up and fragrance collections. The company provides its products under the H&M, H&M HOME, H&M Move, H&M Beauty, COS, Cheap Monday, Weekday, Monki, & Other Stories, ARKET, and Singular Society brand names. In addition, it operates Sellpy, a broad digital platform for second-hand fashion and other products; Smartex.ai, a platform that detects faults in real time and helps in textile production; Syre, a platform which focuses on scaling textile-to-textile recycling primarily polyester; and A Retro Tale offers selected vintage and secondhand accessories, as well as provides collecting and sorting solutions to extend the…
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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.