Berjaya Corporation (3395) Fair Value & Analysis
Industrials · MY · Market cap 1.4B MYR
Fair value as of: Jun 26, 2026
Analysis
Berjaya Corporation (3395) currently trades at 0.2550 MYR, while our model-based Fair Value estimate is 0.0900 MYR — implying the stock looks roughly 64.7% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Berjaya Corporation Berhad provides consumer marketing, direct selling, and retailing services. It invests in, develops, manages, and rents properties; operates hotels, resorts, vacation timeshare, recreation and golf clubs, booking center, parking facilities, private university college, franchises restaurants, cafes, healthcare platform, and travel and tour agencies; retails food and beverage; produces, maintains, repairs, and trades in motor vehicles, as well as offers after sale services; and produces and supplies potable water. The company also offers environmental and clean technology, telecommunication and information technology solutions, securities and printing, investment research and advisory, asset and fund management, hire purchase, loan financing, money lending, stock and share broking, nominee, security, water supply infrastructure, project management, and consultancy services. In addition, it provides computerized wagering and voting systems, software support and deve…
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Frequently asked questions
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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.