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Beijing Dinghan Technology Group (300011) Fair Value & Analysis

Industrials · CN · Market cap 3.7B CNY

Price¥6.17
Fair Value¥2.61
Upside-57.7%
Quality95/100
Evidence: High Range ¥1.83 – ¥3.40

Analysis

Beijing Dinghan Technology Group (300011) currently trades at ¥6.17, while our model-based Fair Value estimate is ¥2.61 — implying the stock looks roughly 57.7% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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

Beijing Dinghan Technology Group Co.Ltd engages in the research and development, supply, sale, and maintenance of high-end electrification equipment and smart solutions for rail transit industry in China. The company's ground electrical equipment includes ground power supply solution, platform door system solution, and braking energy management solution; intelligent station solutions; and rolling stock electrical equipment comprising rolling stock special cable solution, rolling stock air conditioner system solution, CRH3 auxiliary power supply system for EMU, and DC600V power supply system solution for passenger trains. It also provides HD video detection system for freight train loading state and rolling stock detection system solution; and after-sales and operation maintenance services. The company was formerly known as Beijing Dinghan Technology Co., Ltd. Beijing Dinghan Technology Group Co.Ltd was incorporated in 2002 and is based in Beijing, China.

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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.