PTT Global Chemical Public Company (PTGCF) Fair Value & Analysis
Basic Materials · US · Market cap $5.7B
Analysis
PTT Global Chemical Public Company (PTGCF) currently trades at $1.21, while our model-based Fair Value estimate is $1.42 — implying the stock looks roughly 17.4% undervalued today. We read business quality at 95/100 (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
PTT Global Chemical Public Company Limited operates as a chemical company in Thailand and internationally. It operates through six segments: Upstream, Intermediates, Polymers and Chemicals, Bio and Circularity, Performance Chemicals, and Service and Others. The company offers chemical products, such as petroleum, olefins, aromatics, purified terephthalic acid (PTA), EO-based performance, phenol, propylene oxide and polyols, acrylonitrile and methyl methacrylate, green chemicals, adhesives, coatings, and painting; and polymer products, including high-density polyethylene, linear low-density polyethylene, metallocene polyethylene, low-density polyethylene, polyethylene terephthalate, polypropylene, polystyrene, post consumer recycled plastic, bioplastics, compound, and purging compound. It also provides logistics, jetty and chemical tank farm, pipeline infrastructure, utility, land and property management, and information and communication technology; plant maintenance and engineering…
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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.