Synergy House Berhad, an investment holding company, (0279) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 92.5M MYR
Fair value as of: Jun 26, 2026
Analysis
Synergy House Berhad, an investment holding company, (0279) currently trades at 0.1900 MYR, while our model-based Fair Value estimate is 0.1900 MYR — implying the stock looks roughly 0.0% 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
Synergy House Berhad, an investment holding company, engages in the design, development, sale, and trading of ready-to-assemble home furniture in Malaysia, Asia, Oceania, Europe, and the North America. The company provides wardrobes, study desks, chest drawers, cabin beds, nightstands, television cabinets, sideboards, coffee tables, dining tables and chairs, and benches, as well as markets information technology and artificial technology related services and provision of related consultancy service. It sells its products under TOMATO Kidz, TOMATO Home, and Synergy House Furniture brand names, through online retailers, chain-store retailers, and wholesalers, as well as directly through an in-house online store and third-party e-commerce platforms, Lazada and Shopee. Synergy House Berhad was founded in 1990 and is headquartered in Shah Alam, 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.