Sunyes Manufacturing (Zhejiang) Holding (002388) Fair Value & Analysis
Industrials · CN · Market cap 2.8B CNY
Fair value as of: Jun 25, 2026
Analysis
Sunyes Manufacturing (Zhejiang) Holding (002388) currently trades at ¥5.47, while our model-based Fair Value estimate is ¥1.16 — implying the stock looks roughly 78.8% overvalued today. We read business quality at 82/100 (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: medium).
About the company
Sunyes Manufacturing (Zhejiang) Holding Co., Ltd. engages in the research and development of electrolytes, electronic adhesives, and electronic equipment in China and internationally. The company offers electronic tools, which include power, hand, pneumatic, testing and inspection, SLD electronic, measuring, and test tools; instrumentation equipment, such as measuring, electrical, analytical, electronic, special, regular power supply, and experimental instruments; and chemical auxiliary materials, including electronic silicone, thermal conductive silicone/grease, adhesive sealing adhesive, thermally conductive potting glue, three anti-corrosion/coating materials, soldering solder, and cleaning/protective agent. It also provides electronic devices comprising of chip mounting machine, ultrasonic cleaning machine, ultrasonic welding machine, and special equipment; and electrostatic purification products, such as human body anti-static, anti-static tools, static electricity testers, pur…
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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.