Hubei Guochuang Hi-tech Material Co (002377) Fair Value & Analysis
Basic Materials · CN · Market cap 2.5B CNY
Fair value as of: Jun 25, 2026
Analysis
Hubei Guochuang Hi-tech Material Co (002377) currently trades at ¥2.69, while our model-based Fair Value estimate is ¥0.3400 — implying the stock looks roughly 87.4% overvalued today. We read business quality at 94/100 (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: high).
About the company
Hubei Guochuang Hi-tech Material Co.,Ltd engages in the real estate service business and the research, development, production, and sale of modified asphalt in China. The company offers SBS modified, high viscosity modified, rubber, colored, and flame retardant asphalt; and high modulus asphalt mixture additives, emulsified asphalt and modified emulsified asphalt, cement asphalt mortars, asphalt pavement regeneration reductants, asphalt pavement waterproof and oil repellent agents, bridge preventive maintenance coating materials, and epoxy asphalt steel bridge maintenance materials. It also provides road engineering maintenance equipment includes micro-treatment, containing fog seal, ultra-thin wear layer, synchronous gravel seal, recycled asphalt pavement, warm asphalt pavement, cold repair, and snow melting anti-icing equipment. Hubei Guochuang Hi-tech Material Co.,Ltd was incorporated in 2002 and is based in Wuhan, 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.