Online Brands Nordic AB (OBAB) Fair Value & Analysis
Consumer Cyclical · SE · Market cap 290M SEK
Fair value as of: Jun 24, 2026
Analysis
Online Brands Nordic AB (OBAB) currently trades at kr 11.45, while our model-based Fair Value estimate is kr 7.59 — implying the stock looks roughly 33.7% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Online Brands Nordic AB (publ) engages in the online sale of carpets under Trendcarpet brand in Sweden and internationally. The company also sells hats and caps online under Hatshop brand; kitchen equipment and utensils through online and its stores under Kitchenlab brand; and camping and outdoor equipment under GetCamping brand name, as well as offers a range of seeds, plants, bulbs, and growing accessories under Allafröer name through e-commerce platform. In addition, it develops and sells underwear and basic garments for women and men through e-commerce and external retailers under Bread & Boxers brand; and designs, manufactures, and sells outdoor and ski clothing for children and youth under Isbjörn brand. Further, the company sells jewelry and silverware under Victorins brand through online and in physical stores, as well as sells furniture and home furnishings. Online Brands Nordic AB (publ) is based in Hisings Backa, Sweden.
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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.