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Global Connections Public Company (GC) Fair Value & Analysis

Basic Materials · TH · Market cap 2.0B THB

Price4.54 THB
Fair Value7.55 THB
Upside+66.3%
Quality95/100
Evidence: High Range 5.30 THB – 9.44 THB

Fair value as of: Jun 24, 2026

Analysis

Global Connections Public Company (GC) currently trades at 4.54 THB, while our model-based Fair Value estimate is 7.55 THB — implying the stock looks roughly 66.3% 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

Global Connections Public Company Limited engages in the distribution of plastic and related products in Thailand. The company offers additives; imported commodities; petrochemicals and intermediates; industrial products; polyolefin; engineering plastics; and other commodities, as well as bio-green technology products. It serves automotive, industrial, consumer products, and other industries. The company was founded in 1994 and is headquartered in Bang Phli, Thailand.

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Frequently asked questions

Is Global Connections Public Company (GC) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 7.55 THB versus a price of 4.54 THB — about +66% (undervalued). Model-based estimate, not financial advice.
What is the fair value of GC?
Our 21-model fair value for Global Connections Public Company is 7.55 THB (as of Jun 24, 2026), built from audited fundamentals. The current price is 4.54 THB.
What is the quality score of GC?
Global Connections 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.