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Sichuan Shengda Forestry Industry Co (002259) Fair Value & Analysis

Energy · CN · Market cap 3.4B CNY

Price¥4.14
Fair Value¥1.60
Upside-61.4%
Quality94/100
Evidence: High Range ¥1.29 – ¥1.91

Fair value as of: Jun 25, 2026

Analysis

Sichuan Shengda Forestry Industry Co (002259) currently trades at ¥4.14, while our model-based Fair Value estimate is ¥1.60 — implying the stock looks roughly 61.4% overvalued today. We read business quality at 94/100 (high quality), in the Energy 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: high).

About the company

Sichuan Shengda Forestry Industry Co., Ltd produces and sells liquefied natural gas (LNG) in China. It is involved in the operation of oil and gas pipeline network system; operation of gas filling stations; LNG logistics transportation services; and other businesses. The company was formerly known as Sichuan Shengda Forest Products Co., Ltd. The company was incorporated in 2005 and is based in Chengdu, China.

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Frequently asked questions

Is Sichuan Shengda Forestry Industry Co (002259) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥1.60 versus a price of ¥4.14 — about −61% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 002259?
Our 21-model fair value for Sichuan Shengda Forestry Industry Co is ¥1.60 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥4.14.
What is the quality score of 002259?
Sichuan Shengda Forestry Industry Co 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.