Humble Group (HMBAF) Fair Value & Analysis
Consumer Defensive · US · Market cap $321M
Fair value as of: Jun 24, 2026
Analysis
Humble Group (HMBAF) currently trades at $0.7145, while our model-based Fair Value estimate is $0.1100 — implying the stock looks roughly 84.6% overvalued today. We read business quality at 91/100 (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: high).
About the company
Humble Group AB (publ) develops, produces, and distributes fast-moving consumer goods in Sweden and internationally. It operates through four segments: Future Snacking, Sustainable Care, Quality Nutrition, and Nordic Distribution. The Future Snacking segment offers food, snack, and confectionery products. The Sustainable Care segment provides personal care and household products, such as skincare, oral care, hair care, and personal care products. The Quality Nutrition segment offers sports nutrition products and ingredients, as well as supplements for athletes and consumers. The Nordic Distribution segment provides a range of fast-moving consumer goods through a network of wholesalers and distributors. The company also sells ingredients and other raw materials. The company offers its products through grocery retailers, distributors, and online. The company was formerly known as Bayn Group AB (publ) and changed its name to Humble Group AB (publ) in April 2021. Humble Group AB (publ) …
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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.