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T.Krungthai Industries Public Company (TKT) Fair Value & Analysis

Consumer Cyclical · TH · Market cap 256M THB

Price0.7200 THB
Fair Value0.1700 THB
Upside-76.4%
Quality95/100
Evidence: High Range 0.1700 THB – 0.3600 THB

Fair value as of: Jun 24, 2026

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Analysis

T.Krungthai Industries Public Company (TKT) currently trades at 0.7200 THB, while our model-based Fair Value estimate is 0.1700 THB — implying the stock looks roughly 76.4% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

T.Krungthai Industries Public Company Limited manufactures and sells plastic parts in Thailand, Brazil, Italy, and China. The company designs, manufactures, and repairs molds for plastic parts production. It also offers automotive and electrical parts. The company serves automobile, electrical appliances, molding, and other industries. T.Krungthai Industries Public Company Limited was founded in 1973 and is headquartered in Bangkok, Thailand.

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Frequently asked questions

Is T.Krungthai Industries Public Company (TKT) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 0.1700 THB versus a price of 0.7200 THB — about −76% (overvalued). Model-based estimate, not financial advice.
What is the fair value of TKT?
Our 21-model fair value for T.Krungthai Industries Public Company is 0.1700 THB (as of Jun 24, 2026), built from audited fundamentals. The current price is 0.7200 THB.
What is the quality score of TKT?
T.Krungthai Industries 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.