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Shanghai GenTech Co (688596) Fair Value & Analysis

Industrials · CN · Market cap 13.6B CNY

Price¥45.13
Fair Value¥10.58
Upside-76.6%
Quality80/100
Evidence: Medium Range ¥9.33 – ¥10.58

Analysis

Shanghai GenTech Co (688596) currently trades at ¥45.13, while our model-based Fair Value estimate is ¥10.58 — implying the stock looks roughly 76.6% overvalued today. We read business quality at 80/100 (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

Shanghai GenTech Co., Ltd. provides process critical system solutions in China and internationally. The company offers high purity gas delivery equipment, high purity chemical delivery equipment, slurry mixing and delivery system, process equipment, high-purity media equipment system integration, customized equipment, and clean fluid system; and equipment and system integration process services, including design, manufacturing, and installation for IC, flat panel displays, solar photovoltaics, LED, fiber optics, and bio-pharmaceutics. It also provides high purity electronic materials used in silicon wafer epitaxial growth, solar photovoltaic cells, LED lighting, flat panel display, IC and other industries. In addition, the company offers maintenance, repair, and operation services; and regeneration and recycling solutions. Shanghai GenTech Co., Ltd. was founded in 2009 and is headquartered in Shanghai, 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.