FACB Industries Incorporated (2984) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 139M MYR
Fair value as of: Jun 24, 2026
Analysis
FACB Industries Incorporated (2984) currently trades at 1.51 MYR, while our model-based Fair Value estimate is 0.7500 MYR — implying the stock looks roughly 50.3% 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: high).
About the company
FACB Industries Incorporated Berhad, an investment holding company, engages in the manufacture and sale of bedding products in Malaysia and Rest of Asia. It operates in two segments, Bedding and Other Operations. The Bedding segment manufactures and markets mattresses, bedding related products, and furniture. The Other Operations segment provides management and secretarial services; and markets steam. It also involved in the wholesale dealership, retailing, marketing, and sale promotion of mattresses, furniture, and related accessories; retailing of polyester and foam accessories; provision of management and secretarial services; retail marketing of bedding products; and manufactures pillows, cushion, and polyester fibers. It sells its products under the Dreamland, Sleepmaker, Aristocrat, and Resta brand names. FACB Industries Incorporated Berhad was incorporated in 1979 and is based in Kuala Lumpur, Malaysia.
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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.