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Guangxi Fenglin Wood Industry Group (601996) Fair Value & Analysis

Basic Materials · CN · Market cap 3.0B CNY

Price¥2.43
Fair Value¥2.53
Upside+4.1%
Quality94/100
Evidence: Medium Range ¥1.84 – ¥3.21

Fair value as of: Jun 24, 2026

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Analysis

Guangxi Fenglin Wood Industry Group (601996) currently trades at ¥2.43, while our model-based Fair Value estimate is ¥2.53 — implying the stock looks roughly 4.1% undervalued today. We read business quality at 94/100 (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: medium) — always confirm before acting.

About the company

Guangxi Fenglin Wood Industry Group Co.,Ltd engages in the production and sale of wood-based panels, and afforestation business in China. It offers particle and fiber boards; and reforestation. Guangxi Fenglin Wood Industry Group Co.,Ltd was founded in 2000 and is headquartered in Nanning, China.

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Frequently asked questions

Is Guangxi Fenglin Wood Industry Group (601996) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥2.53 versus a price of ¥2.43 — about +4% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 601996?
Our 21-model fair value for Guangxi Fenglin Wood Industry Group is ¥2.53 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥2.43.
What is the quality score of 601996?
Guangxi Fenglin Wood Industry Group 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.