DKLS Industries Berhad, a diversified local conglomerate, (7528) Fair Value & Analysis
Industrials · MY · Market cap 135M MYR
Fair value as of: Jun 25, 2026
Analysis
DKLS Industries Berhad, a diversified local conglomerate, (7528) currently trades at 1.42 MYR, while our model-based Fair Value estimate is 3.34 MYR — implying the stock looks roughly 135.2% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
DKLS Industries Berhad, a diversified local conglomerate, engages in the construction, quarrying, property development, property investment, logistics, and supply chain businesses in Malaysia and the Lao People's Democratic Republic. It operates through Investment Holding, Construction, Quarry, Property Development, and Utilities segments. The company engages in the construction of highways, roads and bridges, airport runways, water treatment facilities, hydropower plant, jetties, and special purpose buildings, as well as commercial and residential buildings for public and private sectors. It also sources, purchases, and distributes a range of building materials, including cement, steel bars, bricks, ceramic tiles, and roof tiles; and manufactures, supplies, and sells quarry products, and ready-mix, granite, and asphaltic concrete. In addition, the company engages in the trading of construction materials, hardware, and kitchen and sanitary wares; operation, management, and distribut…
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Frequently asked questions
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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.