CN Asia Corporation (7986) Fair Value & Analysis
Industrials · MY · Market cap 18.8M MYR
Fair value as of: Jun 26, 2026
Analysis
CN Asia Corporation (7986) currently trades at 0.0650 MYR, while our model-based Fair Value estimate is 0.0488 MYR — implying the stock looks roughly 25.0% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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: low).
About the company
CN Asia Corporation Bhd, an investment holding company, manufactures and trades in tanks and related products in Malaysia. It operates through Manufacturing, Energy Management, Financial Services, and Investment segments. The company offers underground, aboveground skid, saddle, and fuel and storage tanks for the petroleum, logistics and power, and general process industries; manufacturing dish heads and provision of plate rolling services for the food and beverage, petrochemical, energy, and heavy engineering industries; and transportation equipment/road tankers, including vacuum, LPG, sludge, and sprinkler water tanker with front road sprayer. It also provides engineering, procurement, and construction services for pressure vessel design; heat treatment; Hot Flanging; provides engineering consultancy services; and design, manufacture, and supply related steel fabrications and mechanical equipment, as well as operates as a sub-contractor for civil engineering works. In addition, th…
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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.