Water Oasis Group (WOSSF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $74.9M
Fair value as of: Jun 26, 2026
Analysis
Water Oasis Group (WOSSF) currently trades at $0.1100, while our model-based Fair Value estimate is $0.3300 — implying the stock looks roughly 200.0% 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: high) — always confirm before acting.
About the company
Water Oasis Group Limited, together with its subsidiaries, operates beauty service centers in Hong Kong, Macau, and the People's Republic of China. It operates through Product and Service segments. The company offers general, specialist, and medical beauty services to high-end, mid-range, and mass-market consumer sectors for men and women through its spas, beauty salons, and medical beauty centers under the Oasis Beauty, Oasis Spa, Oasis Medical, Oasis Homme, Oasis Hair Spa, Oasis Dental Care, Oasis Health, Oasis Nail, Oasis Florist, Oasis Mom, phMedic+, InMedic, and Glycel Skin Spa brands. It also distributes skincare products under the Glycel, Eurobeauté, Erno Laszlo, DermaSynergy, HABA, and O~KO! beauty brands. In addition, the company operates online florist shops; and holds trademarks. Further, it is involved in the online sale of skincare products; provision of dental, medical, and aesthetic services; and holding of property, as well as produces and sells healing tea. Water Oa…
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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.