SSF Home Group (0287) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 312M MYR
Fair value as of: Jun 24, 2026
Analysis
SSF Home Group (0287) currently trades at 0.3900 MYR, while our model-based Fair Value estimate is 0.1500 MYR — implying the stock looks roughly 61.5% 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
SSF Home Group Berhad, an investment holding company, engages in the retail of furniture, home décor, and home living products in Malaysia. It offers furniture, including armchair, swivel chair, rocking chair, cabinet and rack, chair, recliner, shelves, sofa, stool, bench and ottoman, table and desk, and dining set; bed frame, mattress, bedding set, pillow and bolster, cushion, quilt, duvet, and blanket; artificial flower, plants, trees, vases, and planters; and home decoration, such as candle, home fragrance, mirror, artificial fruit, table calendar, vase and porcelain, photo frame, mini fountain, tissue box, tray and basket, sculpture and statue, bookend storage, and mini chest and box. The company also provides storage and organizer, waste bin, laundry, hardware, cleaning tools, and umbrella stand; kitchen ware, such as food storage, serveware, drinkware, cutlery and utensil, kitchen linen, serving cart, and dishwashing; bathroom organizer, linen, and personal care products; rug …
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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.