TPI Polene Public Company (TPIPL) Fair Value & Analysis
Basic Materials · TH · Market cap 15.0B THB
Fair value as of: Jun 25, 2026
Analysis
TPI Polene Public Company (TPIPL) currently trades at 0.7900 THB, while our model-based Fair Value estimate is 1.79 THB — implying the stock looks roughly 126.6% undervalued today. We read business quality at 85/100 (high quality), in the Basic Materials 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
TPI Polene Public Company Limited, together with its subsidiaries, manufactures and distributes cement products and mortar cement under the TPIPL brand in Thailand, China, Bangladesh, Australia, India, the Philippines, and internationally. It operates through Construction Materials, Petrochemical & Chemicals, Energy & Utilities, and Agriculture segments. The company offers cement products comprising masonry, plastering, and structural cement; mortar products, including masonry, plastering, floor screed, dry concrete, and other products; tile grouts; aquatic, livestock, and plant fertilizers; and fiber cement boards, digital boards, and fiber cement accessories, as well as wood replacement products. It also provides clear coat, interior and exterior, wall, waterproof, floor, and artistic paint; ready mixed concrete and blocks; concrete roof tiles, floor and wall concrete tiles, and related accessories; healthcare products comprising hand and body wash, oil removal, and cleaning deter…
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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.