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Yunnan Jinggu Forestry Co (600265) Fair Value & Analysis

Basic Materials · CN · Market cap 3.1B CNY

Price¥22.10
Fair Value¥4.91
Upside-77.8%
Quality80/100
Evidence: Low Range ¥3.69 – ¥6.14

Fair value as of: Jun 24, 2026

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Analysis

Yunnan Jinggu Forestry Co (600265) currently trades at ¥22.10, while our model-based Fair Value estimate is ¥4.91 — implying the stock looks roughly 77.8% overvalued today. We read business quality at 80/100 (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

Yunnan Jinggu Forestry Co.,Ltd provides man-made board and forest chemical products in China and internationally. It offers plywood, particle board, fiberboard, blockboard, veneer, blockboard, and other products under the Aerospace brand; and rosin, disproportionated rosin, turpentine, and other products. The company was founded in 1999 and is based in Pu'er, China.

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Frequently asked questions

Is Yunnan Jinggu Forestry Co (600265) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥4.91 versus a price of ¥22.10 — about −78% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 600265?
Our 21-model fair value for Yunnan Jinggu Forestry Co is ¥4.91 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥22.10.
What is the quality score of 600265?
Yunnan Jinggu Forestry Co has a Quality Score of 80/100, 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.