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GuiZhou QianYuan Power Co (002039) Fair Value & Analysis

Utilities · CN · Market cap 9.0B CNY

Price¥19.75
Fair Value¥25.27
Upside+27.9%
Quality80/100
Evidence: Medium Range ¥18.95 – ¥34.91

Fair value as of: Jun 25, 2026

Analysis

GuiZhou QianYuan Power Co (002039) currently trades at ¥19.75, while our model-based Fair Value estimate is ¥25.27 — implying the stock looks roughly 27.9% undervalued today. We read business quality at 80/100 (high quality), in the Utilities 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

GuiZhou QianYuan Power Co., Ltd. develops, operates, and manages of hydropower and photovoltaic power stations in China. It is also involved in wind and nuclear power generation. The company was incorporated in 1993 and is based in Guiyang, China.

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Frequently asked questions

Is GuiZhou QianYuan Power Co (002039) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥25.27 versus a price of ¥19.75 — about +28% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 002039?
Our 21-model fair value for GuiZhou QianYuan Power Co is ¥25.27 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥19.75.
What is the quality score of 002039?
GuiZhou QianYuan Power 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.