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Dongguan Yiheda Automation Co (301029) Fair Value & Analysis

Industrials · CN · Market cap 20.2B CNY

Price¥30.73
Fair Value¥16.24
Upside-47.2%
Quality95/100
Evidence: High Range ¥8.98 – ¥21.00

Analysis

Dongguan Yiheda Automation Co (301029) currently trades at ¥30.73, while our model-based Fair Value estimate is ¥16.24 — implying the stock looks roughly 47.2% overvalued today. We read business quality at 95/100 (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

Dongguan Yiheda Automation Co., Ltd. engages in the research, development, production, and sale of industrial automation equipment and parts in China and internationally. The company supplies factory automation parts, such as linear motion parts, transmission components, pneumatic components, aluminum profiles and accessories, industrial frame structural components, machined parts, small mechanical parts, electronic and electrical components, and others. Its products are used in application areas of the automation equipment industry, including new energy lithium batteries, 3C, automobiles, photovoltaics, industrial robots, military industry, medical care, semiconductors, lasers, food, logistics and many other industries. The company was formerly known as Dongguan Yiheda Automation Technology Co., Ltd. Dongguan Yiheda Automation Co., Ltd. was founded in 2010 and is headquartered in Dongguan, 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.