Oasis Harvest Corporation (5265) Fair Value & Analysis
Industrials · MY · Market cap 19.1M MYR
Fair value as of: Jun 26, 2026
Analysis
Oasis Harvest Corporation (5265) currently trades at 0.1450 MYR, while our model-based Fair Value estimate is 0.1700 MYR — implying the stock looks roughly 17.2% undervalued today. We read business quality at 88/100 (high quality), in the Industrials 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
Oasis Harvest Corporation Berhad, an investment holding company, provides food, beverage, travel, leisure and hospitality, and events management services in Malaysia. The company operates through Palm Oil Milling, Central Kitchen, Investment Holding, Food and Beverage, Trading, and Others segments. It offers luxury and lifestyle products; and health and beauty products and services. The company also engages in central kitchen for a chain of local restaurants; production and sale to the retail market of fast-moving consumer goods; and trading of products. In addition, it operates restaurants and bars under the Uncle Don's name; an Italian restaurant under the Verona Trattoria name; wine house; De.Wan 1958 by Chef Wan, a restaurants; Café Chef Wan, a cafe; halal dining; and trades in, wholesales, and imports alcohol related products. Further, the company provides travel services, including private and incentive tours; and exhibitions, conferences, and bespoke gatherings for corporate …
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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.