Changgao Electric Group (002452) Fair Value & Analysis
Industrials · CN · Market cap 7.0B CNY
Analysis
Changgao Electric Group (002452) currently trades at ¥11.29, while our model-based Fair Value estimate is ¥9.18 — implying the stock looks roughly 18.7% 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
Changgao Electric Group Co., Ltd. engages in the research, development, manufacture, and sale of power transmission equipment in the People's Republic of China. The company offers gas insulated metal enclosed switchgear; outdoor pole type vacuum and outdoor high voltage AC circuit breaker; disconnectors; low/medium voltage switchgear, including series relay, cable type data collection unit, cable fault indicator, overhead type data collection unit, intelligent shield movable AC mental-enclosed switchgear, overhead type fault indicator, low voltage withdrawable switchgear, fully insulated and enclosed compact switchgear, and combined substation. It also provides engineering services comprising operation and maintenance, construction, design, financial support, and consulting services, as well as supplies equipment. The company was formerly known as Hunan Changgao Highvoltage Switchgear Group Co., Ltd. and changed its name to Changgao Electric Group Co., Ltd. Changgao Electric Group C…
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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.