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Zhuzhou Times New Material Technology Co (600458) Fair Value & Analysis

Industrials · CN · Market cap 14.6B CNY

Price¥16.58
Fair Value¥9.38
Upside-43.4%
Quality90/100
Evidence: High Range ¥7.04 – ¥11.73

Analysis

Zhuzhou Times New Material Technology Co (600458) currently trades at ¥16.58, while our model-based Fair Value estimate is ¥9.38 — implying the stock looks roughly 43.4% overvalued today. We read business quality at 90/100 (high quality), in the Industrials 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

Zhuzhou Times New Material Technology Co., Ltd. engages in the development, production, testing, sales, after-sales service, and technical consulting services of polymer materials, metal materials, bridge bearings and supporting products, rubber-metal products, composite materials, and various integrated material products in China and internationally. The company operates through four segments: Industrial and Engineering, Rail Transit Construction, Wind Power Products, and Automotive Products. The Industrial and Engineering segment provides intercity railway lines, bridge bearings and wind power couplings. The Rail Transit Construction segment provides rail transit components and related products and services. The Wind Power Products segment produces and sells wind turbine blades, as well as provides after-sales service of related products. The Automotive Products segment provides automotive vibration damping and noise reduction products and services. The company was formerly known …

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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.