HE Group (0296) Fair Value & Analysis
Industrials · MY · Market cap 207M MYR
Fair value as of: Jun 24, 2026
Analysis
HE Group (0296) currently trades at 0.5050 MYR, while our model-based Fair Value estimate is 0.4400 MYR — implying the stock looks roughly 12.9% 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: high).
About the company
HE Group Berhad, through its subsidiary, Hexatech Engineering Sdn. Bhd., operates as an electrical engineering service provider in Malaysia. The company offers design, supply, installation, testing, and commissioning of high voltage, medium voltage, low voltage, and extra low voltage power distribution systems; and additional services, including other building systems and works, electrical equipment hook-up and retrofitting solutions, and trading of electrical products, including power cables, metering panels, and various power conditioning systems, as well as other related electrical products. It also provides mechanical systems, control, and instrumentation solutions, as well as civil, structural, and architectural works. In addition, the company is involved in connection of plant and machinery, electrical equipment, and components to a power source. It serves semiconductors, medical devices, and electronic products industries. HE Group Berhad was incorporated in 1995 and is headq…
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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.