Luxchem Corporation (5143) Fair Value & Analysis
Basic Materials · MY · Market cap 449M MYR
Fair value as of: Jun 25, 2026
Analysis
Luxchem Corporation (5143) currently trades at 0.4050 MYR, while our model-based Fair Value estimate is 0.6700 MYR — implying the stock looks roughly 65.4% 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
Luxchem Corporation Berhad, an investment holding company, imports, exports, and distributes petrochemical and other related products in Malaysia and internationally. It operates in two segments, Trading and Manufacturing. The Trading segments offers import, export, and distribution of petrochemical products; and synthetic latex, polymer resins, fiberglass materials, PVC resins, and plasticizers and additives. The Manufacturing segments provides unsaturated polyester resin; latex chemical dispersions, latex processing chemicals, and specialty chemicals for the rubber gloves industry; and former cleaning agents, powder free coagulants, and polymer coatings. It is also involved in the manufacturing and trading of latex chemical dispersions, latex processing chemicals and specialty chemicals; and former cleaning agents, powder free coagulants, and polymer coatings. The company serves Latex, Fibreglass Reinforced Plastic, Polyvinyl Chloride, Rubber, Coating, and Ceramic industries. The …
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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.