Shenzhen UTIMES Intelligent Equipment Co (688638) Fair Value & Analysis
Industrials · CN · Market cap 1.8B CNY
Fair value as of: Jun 24, 2026
Analysis
Shenzhen UTIMES Intelligent Equipment Co (688638) currently trades at ¥33.45, while our model-based Fair Value estimate is ¥21.51 — implying the stock looks roughly 35.7% 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: medium).
About the company
Shenzhen UTIMES Intelligent Equipment Co., Ltd. develops, manufactures, and sells lithium and consumer batteries equipment in China and internationally. The company offers lithium battery manufacturing equipment, including lithium battery coating, liquid injection, helium inspection, uncoiling furnace, hot pressing and shaping, mylar coating, and shell insertion equipment. It also provides intelligent manufacturing equipment for consumer electronics, such as coffee machine testing and perfume sprayer assembly lines; shavers; automatic razor assembly equipment; photovoltaic module assembly machines; consumer battery pack applications comprising cylindrical, polymer, and lithium iron phosphate batteries; and construction and medical robots. The company was formerly known as Shenzhen Yuchen Automatic Chemical Equipment Co., Ltd. Shenzhen UTIMES Intelligent Equipment Co., Ltd. was incorporated in 2012 and is headquartered in Shenzhen, 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.