Chin Hin Group (5273) Fair Value & Analysis
Basic Materials · MY · Market cap 7.4B MYR
Fair value as of: Jun 24, 2026
Analysis
Chin Hin Group (5273) currently trades at 2.05 MYR, while our model-based Fair Value estimate is 0.7800 MYR — implying the stock looks roughly 62.0% overvalued today. We read business quality at 80/100 (high quality), in the Basic Materials 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: medium).
About the company
Chin Hin Group Berhad provides building materials and services. It operates through Investment Holding and Management Services; Distribution of Building Materials and Provision of Logistics; Ready-Mixed Concrete; Manufacturing of AAC and Precast Concrete Products; Manufacturing of Wire Mesh; Modular Building Solutions; Sanitaryware and Bathroom Fittings Solutions; Manufacturing of Safety Glass Door, Frame and Metal Roofing; Commercial Vehicles and Bodyworks; Interior Fit-Out Works; Property Development; Construction; and Others segments. The company provides management, transportation, and fleet management services; precast concrete, plaster, and mortar products; wire mesh products; prefabricated metal buildings; vehicle body works; electronic components; pipes; building and general construction services; solar renewable energy generation; and industrialized building system components, such as wall panels, beams, columns, and slabs. It trades in construction building materials, hard…
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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.