Stecon Group (STECON) Fair Value & Analysis
Industrials · TH · Market cap 24.0B THB
Analysis
Stecon Group (STECON) currently trades at 17.40 THB, while our model-based Fair Value estimate is 21.80 THB — implying the stock looks roughly 25.3% undervalued today. We read business quality at 86/100 (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
Stecon Group Public Company Limited, through its subsidiaries, engages in the engineering and construction, utilities and power, infrastructure related to logistics, transportation, and other businesses in Thailand. The company undertakes construction works, such as public utilities, building, energy, industrial, environmental construction, and other projects activities. It also engages in the sale and rental of construction machinery and spare parts; contracting services; production and transportation of precast concrete parts, such as precast boxes, concrete beams, columns, and crossbeams for infrastructure and public utilities, and building projects; production and services for piles driving; and provision of consulting services on precast concrete products. In addition, the company is involved in the data center business; water supply and distribution for household and industrial use through the water supply system; and management and provision of expressways, electric railways,…
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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.