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Guangzhou Baiyun Electric Equipment Co (603861) Fair Value & Analysis

Industrials · CN · Market cap 8.3B CNY

Price¥15.36
Fair Value¥6.33
Upside-58.8%
Quality92/100
Evidence: High Range ¥5.79 – ¥8.00

Analysis

Guangzhou Baiyun Electric Equipment Co (603861) currently trades at ¥15.36, while our model-based Fair Value estimate is ¥6.33 — implying the stock looks roughly 58.8% overvalued today. We read business quality at 92/100 (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

Guangzhou Baiyun Electric Equipment Co., Ltd. engages in the research, development, manufacturing, sale, and service of capacitors, transformers, switchgear, frequency converters, automatic control, intelligent components, and other products in China. The company offers high voltage GIS, medium voltage C-GIS, medium voltage metal enclosed switchgear, ring main unit, DC traction switchgear, low voltage switchgear, distribution box, intelligent bus, medium voltage switch, low voltage switch, and intelligent components. It also provides integrated energy service, smart substation, smart distribution grids, rail transit power supply system equipment, data center, intelligent water, power quality management, and tram power supply solutions. Guangzhou Baiyun Electric Equipment Co., Ltd. was founded in 1989 and is based in Guangzhou, 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.