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ZheJiang KangLongDa Special Protection Technology Co (603665) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 4.2B CNY

Price¥25.97
Fair Value¥5.76
Upside-77.8%
Quality93/100
Evidence: High Range ¥3.77 – ¥8.72

Analysis

ZheJiang KangLongDa Special Protection Technology Co (603665) currently trades at ¥25.97, while our model-based Fair Value estimate is ¥5.76 — implying the stock looks roughly 77.8% overvalued today. We read business quality at 93/100 (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: high).

About the company

ZheJiang KangLongDa Special Protection Technology Co., Ltd. researches, designs, develops, produces, and sells labor protection products primarily in China, Europe, the United States, and Japan. It offers wear-resistant, cut-resistant, tear-resistant, impact-resistant, chemical-resistant, anti-static, and heat- and cold-resistant gloves, as well as other functional labor protective gloves. The company also provides glasses, shoes, hats, clothing, etc. In addition, it engages in research and development, production, and sales of lithium sulfate solution. Its products are used in construction, electric power, electronics, automobile, machinery manufacturing, metallurgy, petrochemical, mining, and other industries. The company was formerly known as Shangyu Dongda knit Co.,Ltd. and changed its name to ZheJiang KangLongDa Special Protection Technology Co., Ltd. ZheJiang KangLongDa Special Protection Technology Co., Ltd. was founded in 2000 and is based in Shaoxing, 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.