Zhongyeda Electric Co (002441) Fair Value & Analysis
Industrials · CN · Market cap 4.7B CNY
Analysis
Zhongyeda Electric Co (002441) currently trades at ¥8.73, while our model-based Fair Value estimate is ¥7.66 — implying the stock looks roughly 12.3% overvalued today. We read business quality at 94/100 (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
Zhongyeda Electric Co., Ltd. engages in the distribution of industrial electrical products in China. Its products include power equipment, systems, and transmission and distribution products; and automatic control systems and products, safety and environmental protection equipment, lighting and temperature control, and other systems and products. The company also offers system integration products, including supporting products for electrical control systems of oil drilling platforms and wind power generation, water cooling systems for wind power generation, variable pitch control systems for wind turbines, marine electrical systems, electrical control cabinets, charging piles/stations, etc. In addition, it provides solutions covering electrical design, equipment supply, software programming, platform construction, system integration, electrical engineering, and operation and maintenance services. Zhongyeda Electric Co., Ltd. was founded in 2000 and is based in Shantou, 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.