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Zhejiang Weixing New Building Materials Co (002372) Fair Value & Analysis

Industrials · CN · Market cap 14.0B CNY

Price¥8.63
Fair Value¥9.77
Upside+13.2%
Quality94/100
Evidence: High Range ¥7.33 – ¥12.21

Analysis

Zhejiang Weixing New Building Materials Co (002372) currently trades at ¥8.63, while our model-based Fair Value estimate is ¥9.77 — implying the stock looks roughly 13.2% undervalued today. We read business quality at 94/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

Zhejiang Weixing New Building Materials Co., Ltd. engages in the manufacture and sale of plastic pipes in China. The company offers PP-R, PE, polypropylene-random-copolymer, PE-Xb, F-PPR, and PP-R/AL pipes for water supply applications. It also provides PE corrugated, PVC-U, and PE pipes for sewerage applications; PB-R, PE-RT II, PE-RT I, PB, and PE-XB pipes for heating applications; and plumbing accessories, including floor drains, water taps, angle valves, shower sprinkler, and hoses. In addition, the company offers HDPE same-floor drainage system, floor radiant heating system, comfortable hot water circulation system, SPM comfortable drainage system, and central hydraulic balance system solutions. It sells its products under the Vasen brand. Zhejiang Weixing New Building Materials Co., Ltd. was founded in 1976 and is based in Linhai, 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.