Dongfang Electronics Co (000682) Fair Value & Analysis
Industrials · CN · Market cap 16.7B CNY
Analysis
Dongfang Electronics Co (000682) currently trades at ¥14.15, while our model-based Fair Value estimate is ¥13.81 — implying the stock looks roughly 2.4% overvalued today. We read business quality at 90/100 (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: medium).
About the company
Dongfang Electronics Co., Ltd., together with its subsidiaries, engages in the research, development, production, operation, technical servicing, and system integration of smart grid equipment and system solution in China, Southeast Asia, South Asia, the Middle East, Africa, Europe, and internationally. The company offers scheduling and cloudification, including intelligent dispatch system and cloud-edge integrated smart grid dispatching system; power transmission and transformation automation, such as substation secondary system and power engineering and operation and maintenance services; and smart power distribution comprising intelligent power distribution system, smart charging for electric vehicles, and smart power system. It also provides integrated energy and virtual power plants; new energy and energy storage, which include energy storage system, power quality management, high voltage frequency conversion, shore power system, and new energy power generation; industrial inte…
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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.