Unitrade Industries Berhad (0247) Fair Value & Analysis
Industrials · MY · Market cap 375M MYR
Fair value as of: Jun 24, 2026
Analysis
Unitrade Industries Berhad (0247) currently trades at 0.2450 MYR, while our model-based Fair Value estimate is 0.2600 MYR — implying the stock looks roughly 6.1% undervalued today. We read business quality at 88/100 (high quality), in the Industrials 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
Unitrade Industries Berhad engages in the wholesale and distribution of building materials for mechanical, electrical, and civil works in Malaysia and internationally. The company provides pipes, valves, fittings, and accessories; solar photovoltaic (PV) systems; reinforcement and structural steel products; and other building materials. It also manufactures and sells pre-insulated pipes under the brand name of HI-GARD, TERRA-GARD, and COPPER-GARD; and rents temporary structural support equipment, such as scaffoldings, steel piles and plates, heavy-duty shoring systems, and hollow sections for use in various building and construction activities, as well as modular systems and other equipment, and centralised labour quarters for workers' accommodation. In addition, the company engages in buying, selling, renting, and operating self-owned or leased non-residential buildings; lease of solar PV energy generating system; assembling and manufacturing of construction and industrial requisit…
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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.