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Beijing Jingyeda Technology Co (003005) Fair Value & Analysis

Technology · CN · Market cap 3.4B CNY

Price¥14.30
Fair Value¥4.65
Upside-67.5%
Quality95/100
Evidence: Medium Range ¥4.62 – ¥4.67

Fair value as of: Jun 25, 2026

Analysis

Beijing Jingyeda Technology Co (003005) currently trades at ¥14.30, while our model-based Fair Value estimate is ¥4.65 — implying the stock looks roughly 67.5% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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: medium).

About the company

Beijing Jingyeda Technology Co.,Ltd. provides system integration services. The company engages in the development, application, and service of industry information systems. It offers IT information consulting services in the areas of business design, system planning, solutions, engineering implementation, custom development, operation and maintenance, etc.; and educational training services. The company was founded in 1997 and is based in Beijing, China.

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Frequently asked questions

Is Beijing Jingyeda Technology Co (003005) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥4.65 versus a price of ¥14.30 — about −67% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 003005?
Our 21-model fair value for Beijing Jingyeda Technology Co is ¥4.65 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥14.30.
What is the quality score of 003005?
Beijing Jingyeda Technology Co has a Quality Score of 95/100, 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.