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G J Steel Public Company (GJS) Fair Value & Analysis

Basic Materials · TH · Market cap 3.6B THB

Price0.1400 THB
Fair Value0.0900 THB
Upside-35.7%
Quality95/100
Evidence: Low Range 0.0600 THB – 0.1200 THB

Fair value as of: Jun 26, 2026

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Analysis

G J Steel Public Company (GJS) currently trades at 0.1400 THB, while our model-based Fair Value estimate is 0.0900 THB — implying the stock looks roughly 35.7% 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: low).

About the company

G J Steel Public Company Limited manufactures and distributes hot rolled coil steel products in Thailand. The company was formerly known as Nakornthai Strip Mill Public Company Limited and changed its name to G J Steel Public Company Limited in June 2008. The company was founded in 1994 and is headquartered in Bang Phli, Thailand.

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Frequently asked questions

Is G J Steel Public Company (GJS) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 0.0900 THB versus a price of 0.1400 THB — about −36% (overvalued). Model-based estimate, not financial advice.
What is the fair value of GJS?
Our 21-model fair value for G J Steel Public Company is 0.0900 THB (as of Jun 26, 2026), built from audited fundamentals. The current price is 0.1400 THB.
What is the quality score of GJS?
G J Steel 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.