Asefa Public Company (ASEFA) Fair Value & Analysis
Industrials · TH · Market cap 3.0B THB
Fair value as of: Jun 24, 2026
Analysis
Asefa Public Company (ASEFA) currently trades at 5.75 THB, while our model-based Fair Value estimate is 7.21 THB — implying the stock looks roughly 25.4% undervalued today. We read business quality at 94/100 (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
Asefa Public Company Limited manufactures and distributes electrical power distribution, switchboard, and trunking systems in Thailand. It operates through Manufacturing; Trading; Services, and Maintenance and Installation; and Decommissioning of the Power Plant segments. The company offers customize modular and type-tested switchboards, luminaire, cable ladder, and metal sheet fabrication; and integrated engineering services, such as underground and overhead power distribution, HV/MV substation, pumping station, micro-grid, EV charging station, energy storage, data center solutions, system MEP, and other services; and transformers, circuit breakers, switchgear, busways, PV solar, UPS, and relays motoring, as well as fixture, equipment, and controllers. It also provides system integration solutions, including industrial and building automation control, power quality improvement, power monitoring management and control, and lighting control and management solutions; and after-sales s…
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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.