Phol Dhanya Public Company (PHOL) Fair Value & Analysis
Industrials · TH · Market cap 616M THB
Fair value as of: Jun 24, 2026
Analysis
Phol Dhanya Public Company (PHOL) currently trades at 3.16 THB, while our model-based Fair Value estimate is 5.59 THB — implying the stock looks roughly 76.9% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Phol Dhanya Public Company Limited, together with its subsidiaries, distributes occupational safety, health, and environmental products in Thailand and internationally. The company operates in three segments: Trading in Health and Safety Products, Water Treatment System, and Other Operation. It offers personal protective equipment, such as hand protection, fire fighting suit, protective cloths, hearing protection, face protection, head protection, respirators protection, and safety shoes and glasses. The company also provides workplace safety equipment, including system containment systems, emergency showers, portable ventilators, positive respirators, fall protection gear, measurement devices, leak and spill control, and lockout tagout; fire suppression systems, such as clean agents; and cleanroom products comprising sticky rollers, cleanroom shoes and gloves, hair covers, and cleanroom accessory. In addition, it engages in the design, production, construction, and installation of …
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Frequently asked questions
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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.