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Zhejiang Yinlun Machinery Co (002126) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 42.8B CNY

Price¥49.13
Fair Value¥24.87
Upside-49.4%
Quality89/100
Evidence: Medium Range ¥14.77 – ¥31.09

Analysis

Zhejiang Yinlun Machinery Co (002126) currently trades at ¥49.13, while our model-based Fair Value estimate is ¥24.87 — implying the stock looks roughly 49.4% overvalued today. We read business quality at 89/100 (high quality), in the Consumer Cyclical 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

Zhejiang Yinlun Machinery Co.,Ltd., together with its subsidiaries, engages in the research and development, manufacturing, and sale of thermal management and exhaust gas post-treatment products in China and internationally. The company offers engine oil filter and cooling modules, radiators, aftercoolers, and oil and EGR coolers; new energy pure water-cooling equipment; air-water cooling equipment; double-plate oil coolers; marine and generator heat exchangers; and refrigeration and air conditioning heat exchangers. It also provides thermal management of passenger cars, such as engine thermal management, battery thermal management, air conditioning and heat pumps, and other products; post-treatment products and services, including package assembly, urea tank assembly, injection system, DCU, and nozzle. The company was founded in 1958 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.