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Jiangsu Hanvo Safety Product Co (300952) Fair Value & Analysis

Basic Materials · CN · Market cap 4.9B CNY

Price¥18.80
Fair Value¥7.17
Upside-61.9%
Quality90/100
Evidence: Medium Range ¥5.38 – ¥8.96

Analysis

Jiangsu Hanvo Safety Product Co (300952) currently trades at ¥18.80, while our model-based Fair Value estimate is ¥7.17 — implying the stock looks roughly 61.9% overvalued today. We read business quality at 90/100 (high quality), in the Basic Materials 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

Jiangsu Hanvo Safety Product Co., Ltd. engages in the research and development, production, and sale of special safety and health protection products in China. The company offers special safety and health protection products, including gloves, clothing, shoes, and hats; new graphene ultra-fiber materials; protective equipment for medical staff; and medical and daily masks, as well as technical development, consultation, exchange, and other technical services; and technology transfer and promotion services. It is also involved in the wholesale and retail of protective equipment for medical staff. The company exports its products to approximately 50 countries and regions, including Europe, the United States, Japan, and internationally. Jiangsu Hanvo Safety Product Co., Ltd. was founded in 2004 and is based in Nantong, 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.