7246 (7246) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 878M MYR
Fair value as of: Jun 25, 2026
Analysis
7246 (7246) currently trades at 1.35 MYR, while our model-based Fair Value estimate is 2.89 MYR — implying the stock looks roughly 114.1% undervalued today. We read business quality at 83/100 (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: medium) — always confirm before acting.
About the company
Signature International Berhad, an investment holding company, distributes and retails modular kitchen systems in Malaysia and internationally. It operates through four segments: Design, Manufacture, and Retail of Kitchen and Wardrobe Systems; Manufacture of Glass and Aluminium Products; Interior Fit-out Works; and Others segments. The company designs, manufactures, markets, and distributes kitchen cabinets, wardrobe systems, and built-in kitchen appliances; and provides interior fit-out and design consultation for commercial projects. It is also involved in marketing and distribution of built-in kitchen appliances and white goods; selling, marketing, and distribution of bedroom cabinets, knockdown furniture, furniture parts, appliances, and accessories; distribution worktop appliances; undertakes interior design, renovation, furnishing, maintenance, and construction services; and acts as contractors or sub- contractors. In addition, the company engages in the design, manufacturing,…
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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.