Ceepower Co (300062) Fair Value & Analysis
Industrials · CN · Market cap 4.1B CNY
Analysis
Ceepower Co (300062) currently trades at ¥6.20, while our model-based Fair Value estimate is ¥10.99 — implying the stock looks roughly 77.3% undervalued today. We read business quality at 95/100 (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
Ceepower Co., Ltd. engages in the research and development, production, and sale of intelligent power transmission and distribution equipment worldwide. The company offers pre-molded cable connectors, cable branch boxes, indoor or outdoor main ring units, high- and low-voltage switchgear kits, box-type substations, and power quality management devices; primary and secondary equipment for power transmission and distribution automation equipment such as FTU and DTU; and green energy products, charging equipment for electric vehicles, equipment for photovoltaic power generation systems, etc. It also provides cable accessories and solar products; transformers, rectifiers and inductors, capacitors and supporting equipment, power distribution switch control equipment, and power electronic components; and photovoltaic silicon materials, photovoltaic silicon wafers, photovoltaic cells, photovoltaic modules, photovoltaic auxiliary materials, and photovoltaic inverters. The company offers med…
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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.