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Pato Chemical Industry Public Company (PATO) Fair Value & Analysis

Basic Materials · TH · Market cap 883M THB

Price6.10 THB
Fair Value5.91 THB
Upside-3.1%
Quality95/100
Evidence: High Range 4.14 THB – 7.64 THB

Fair value as of: Jun 24, 2026

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Analysis

Pato Chemical Industry Public Company (PATO) currently trades at 6.10 THB, while our model-based Fair Value estimate is 5.91 THB — implying the stock looks roughly 3.1% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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: high).

About the company

Pato Chemical Industry Public Company Limited engages in formulating and distributing of pesticides in Thailand. It offers herbicides, insecticides, fungicides, and acaricides, as well as plant growth regulators, and molluscicides. Pato Chemical Industry Public Company Limited was founded in 1972 and is headquartered in Bangkok, Thailand.

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Frequently asked questions

Is Pato Chemical Industry Public Company (PATO) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 5.91 THB versus a price of 6.10 THB — about −3% (overvalued). Model-based estimate, not financial advice.
What is the fair value of PATO?
Our 21-model fair value for Pato Chemical Industry Public Company is 5.91 THB (as of Jun 24, 2026), built from audited fundamentals. The current price is 6.10 THB.
What is the quality score of PATO?
Pato Chemical Industry Public Company has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.