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Zhejiang Dayuan Pumps Industry Co (603757) Fair Value & Analysis

Industrials · CN · Market cap 9.5B CNY

Price¥61.67
Fair Value¥12.19
Upside-80.2%
Quality95/100
Evidence: High Range ¥9.13 – ¥15.85

Analysis

Zhejiang Dayuan Pumps Industry Co (603757) currently trades at ¥61.67, while our model-based Fair Value estimate is ¥12.19 — implying the stock looks roughly 80.2% 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

Zhejiang Dayuan Pumps Industry Co., Ltd engages in the research, development, manufacturing, and sale of water pumps in China and internationally. It offers surface pumps, including peripheral, self-priming, centrifugual, jet, and swimming pool pumps; submersible pumps, such as submersible clear water and sewage pumps; stainless steel horizontal multistage pumps; deep well pumps; agricultural water pumps; domestic water pumps; and engineering construction pumps. The company exports its products to the United States, South Korea, Southeast Asia, Europe, the Middle East, South America, and other countries and regions. Its products are used in garden and agricultural irrigation, sewage disposal, domestic water supply, pressure boosting, and industrial and commercial applications. The company was founded in 1990 and is headquartered in Taizhou, 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.