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WindSun Science&Technology Co (688663) Fair Value & Analysis

Industrials · CN · Market cap 11.7B CNY

Price¥87.19
Fair Value¥15.58
Upside-82.1%
Quality92/100
Evidence: High Range ¥12.73 – ¥18.43

Analysis

WindSun Science&Technology Co (688663) currently trades at ¥87.19, while our model-based Fair Value estimate is ¥15.58 — implying the stock looks roughly 82.1% 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

WindSun Science&Technology Co.,Ltd. engages in the research and development, production, and sale of power electronic equipment and related products in China. The company offers high-voltage dynamic reactive power compensation devices; high, medium, and low voltage frequency converters; intelligent energy storage systems; rail transit energy feedback devices; explosion-proof and intelligent control equipment for coal mines; regenerative braking energy absorption devices and related supporting products; and high and low voltage switchgears. Its products used in various applications, such as photovoltaic power plants, wind power generation, new energy power generation, rail transit, mining, petroleum, chemical, metallurgy, municipal engineering, and data centers. WindSun Science&Technology Co.,Ltd. was founded in 2004 and is headquartered in Jinan, 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.