Jaycorp Berhad, an investment holding company, (7152) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 70.7M MYR
Fair value as of: Jun 24, 2026
Analysis
Jaycorp Berhad, an investment holding company, (7152) currently trades at 0.2500 MYR, while our model-based Fair Value estimate is 0.3800 MYR — implying the stock looks roughly 52.0% 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: medium) — always confirm before acting.
About the company
Jaycorp Berhad, an investment holding company, manufactures and sells rubberwood furniture in Malaysia, rest of Asia, North America, Europe, and internationally. The company operates through six segments: Furniture, Wood Processing, Packaging, Construction, Renewable Energy, and Others. It offers sofa sets, upholstery works, and furniture products and parts. The company is also involved in the pressure treatment, processing, and kiln"drying of wood; conversion of corrugated boards into carton boxes; and the provision of general trading, transportation, property letting, and printing services. In addition, it engages in the renewable energy, biomass, and environmentally friendly waste treatment activities; and undertakes general construction and civil engineering works. Jaycorp Berhad was formerly known as Yeo Aik Resources Berhad and changed its name to Jaycorp Berhad in 2006. The company was incorporated in 2002 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.