7253 (7253) Fair Value & Analysis
Energy · MY · Market cap 4.5M MYR
Fair value as of: Jun 26, 2026
Analysis
7253 (7253) currently trades at 0.0100 MYR, while our model-based Fair Value estimate is 0.0110 MYR — implying the stock looks roughly 10.0% undervalued today. We read business quality at 95/100 (high quality), in the Energy 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: low) — always confirm before acting.
About the company
Handal Energy Berhad, an investment holding company, primarily provides integrated crane and pipeline isolation services to the oil and gas industry in Malaysia. It operates through Integrated, Maintenance, Repair, and Overhaul Services; Pipeline Engineering; Trading and Project; and Other segments. The company offers and overhaul and maintenance offshore pedestal cranes services; manufactures and fabricates new offshore pedestal cranes; and provides offshore crane rental services and lifting solutions for workover projects, as well as other services, such as supply of manpower and parts. It also supplies, fabricates, and services industrial equipment and tank systems; offers consultancy services for engineering project support services; offers well services; and researches and develops advance composite material. In addition, the company engages in reproducing of machinery components and engineering services; repairing and general workshop practices; leasing of compressors, pumps, …
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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.