PM Thoresen Asia Holdings (PMTA) Fair Value & Analysis
Basic Materials · TH · Market cap 966M THB
Fair value as of: Jun 25, 2026
Analysis
PM Thoresen Asia Holdings (PMTA) currently trades at 9.75 THB, while our model-based Fair Value estimate is 19.37 THB — implying the stock looks roughly 98.7% 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: high) — always confirm before acting.
About the company
PM Thoresen Asia Holdings Public Company Limited, together with its subsidiaries, manufactures fertilizer and crop care products and provides factory area management services in Vietnam, the Philippines, Madagascar, and internationally. The company manufactures and supplies NPK compound, compounds and single fertilizers, and foliar, as well as pesticides and insecticides under the STORK brand name. It also operates and leases warehouses; and offers value-added services, including offices for supervisory personnel, commercial vehicle parking, guards, and utilities. In addition, the company engages in import; general trading; and provision of procurement services for macronutrient products, such as nitrogen, phosphate, and potash. It exports its products. The company was incorporated in 2013 and is based in Bangkok, Thailand. PM Thoresen Asia Holdings Public Company Limited is a subsidiary of Thoresen Thai Agencies Public Company Limited.
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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.