Thai Polycons Public Company (TPOLY) Fair Value & Analysis
Industrials · TH · Market cap 68.7M THB
Fair value as of: Jun 26, 2026
Analysis
Thai Polycons Public Company (TPOLY) currently trades at 0.1100 THB, while our model-based Fair Value estimate is 0.0783 THB — implying the stock looks roughly 28.8% overvalued today. We read business quality at 80/100 (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: medium).
About the company
Thai Polycons Public Company Limited engages as a construction contractor business in Thailand. The company offers construction services including steps and piles, foundation, soil collapse prevention, structural, architectural, landscape architectural, and system engineering work services for government agencies and private sectors. It also engages in property development; trading; energy investment business; and designs, installation, and control systems of machines, automatic car parking, and building security systems; as well as inspection, maintenance, and repair services. In addition, the company distributes and installs air pollution control machines, parts, tools, and equipment; electricity, air conditioning and telecommunication system contractors; generates and distributes biogas; equipment rental services; and engages in hiring for running machine and power plant maintenance; as well as production of electricity. Thai Polycons Public Company Limited was incorporated in 19…
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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.