Samchem Holdings (5147) Fair Value & Analysis
Basic Materials · MY · Market cap 288M MYR
Fair value as of: Jun 24, 2026
Analysis
Samchem Holdings (5147) currently trades at 0.4700 MYR, while our model-based Fair Value estimate is 0.7500 MYR — implying the stock looks roughly 59.6% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
Samchem Holdings Berhad, an investment holding company, distributes industrial chemicals in Malaysia, Indonesia, Vietnam, and Singapore. It offers adhesive; solvents, oils and other solutions for insecticide, herbicide, pesticide, and fungicide purposes; additives and other chemicals for automotive industry; chemical products for construction related materials; electronic chemicals; and household and car care cleaning products. The company also provides industrial cleaning chemicals; metalworking fluids, other industrial coolants, and lubricants; chemical products for the metal working industry; coolant, anti-freezing, extractant and fluids used for drilling; and base and other material that serves as solvent, diluent, and coating. In addition, it offers personal care chemicals used in nail varnish remover, massage oil, and others; chemical substances for pharmaceutical purposes or medicinal products; printing and packaging chemicals; printing ink; plastic chemicals; polyurethane (P…
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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.