Zhejiang Double Arrow Rubber Co (002381) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 2.3B CNY
Fair value as of: Jun 25, 2026
Analysis
Zhejiang Double Arrow Rubber Co (002381) currently trades at ¥5.40, while our model-based Fair Value estimate is ¥4.99 — implying the stock looks roughly 7.6% overvalued today. We read business quality at 95/100 (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 Double Arrow Rubber Co., Ltd. manufactures and sells rubber conveyor belt products in China and internationally. The company provides flame resistant, high temperature resistant, and anti-tear steel cord conveyor belt, as well as low rolling resistance energy-saving and steel cord pipe conveyor belt; and fabric, flame resistant fabric, straight warp, fabric pipe, high temperature resistant fabric, anti-tear fabric, oil resistant fabric, cold resistant fabric, acid-alkaline resistant fabric, anti-adhesion, profiled, and sidewall conveyor belts; and solid woven conveyor belt; as well as aramid belts. Its products are mainly used in coalmines, ports, electric power plants, metallurgy, mines, cement, and other industries. The company was formerly known as TongXiang Duble Arrow Group CO., Ltd. and changed its name to Zhejiang Double Arrow Rubber Co., Ltd. The company was founded in 1986 and is based in Tongxiang, 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.