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Shaanxi Jinye Science Technology and Education Group (000812) Fair Value & Analysis

Industrials · CN · Market cap 2.6B CNY

Price¥3.31
Fair Value¥3.62
Upside+9.4%
Quality94/100
Evidence: Low Range ¥2.48 – ¥4.76

Fair value as of: Jun 25, 2026

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Analysis

Shaanxi Jinye Science Technology and Education Group (000812) currently trades at ¥3.31, while our model-based Fair Value estimate is ¥3.62 — implying the stock looks roughly 9.4% undervalued today. We read business quality at 94/100 (high quality), in the Industrials 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: low) — always confirm before acting.

About the company

Shaanxi Jinye Science Technology and Education Group Co.,Ltd, together with its subsidiaries, engages in the production and sales of cigarette labels, cigarette silk bundles, and cigarette sticks in China. It is involved in the education and teaching business, and the education investment business. Shaanxi Jinye Science Technology and Education Group Co.,Ltd was founded in 1992 and is headquartered in Xi'an, China.

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Frequently asked questions

Is Shaanxi Jinye Science Technology and Education Group (000812) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥3.62 versus a price of ¥3.31 — about +9% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 000812?
Our 21-model fair value for Shaanxi Jinye Science Technology and Education Group is ¥3.62 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥3.31.
What is the quality score of 000812?
Shaanxi Jinye Science Technology and Education 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.