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Green River Holding (8444) Fair Value & Analysis

Basic Materials · TW · Market cap 522M TWD

Price5.51 TWD
Fair Value2.05 TWD
Upside-62.8%
Quality94/100
Evidence: Low Range 1.87 TWD – 2.28 TWD

Fair value as of: Jun 25, 2026

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Analysis

Green River Holding (8444) currently trades at 5.51 TWD, while our model-based Fair Value estimate is 2.05 TWD — implying the stock looks roughly 62.8% overvalued today. We read business quality at 94/100 (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

Green River Holding Co. Ltd. manufactures, processing, and sells particle boards, solid wood boards, and resin in Thailand. The company also offers melamine faced chip boards. It exports its products in Malaysia, Vietnam, China, Korea, and other Asian regions. The company was founded in 2000 and is based in Songkhla, Thailand.

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Frequently asked questions

Is Green River Holding (8444) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 2.05 TWD versus a price of 5.51 TWD — about −63% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 8444?
Our 21-model fair value for Green River Holding is 2.05 TWD (as of Jun 25, 2026), built from audited fundamentals. The current price is 5.51 TWD.
What is the quality score of 8444?
Green River Holding has a Quality Score of 94/100, 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.