Zhejiang Hailiang Co (002203) Fair Value & Analysis
Basic Materials · CN · Market cap 56.7B CNY
Analysis
Zhejiang Hailiang Co (002203) currently trades at ¥26.30, while our model-based Fair Value estimate is ¥7.00 — implying the stock looks roughly 73.4% overvalued today. We read business quality at 87/100 (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
Zhejiang Hailiang Co., Ltd., together with its subsidiaries, engages in the research, development, production, sale, and service of copper products, conductor materials, and aluminum-based materials in China and internationally. It operates through Copper and Aluminum Processing Business, Environmental Materials Business, and Loan Business segments. The company offers copper tube products comprising copper coils and straight tubes, brass straight tubes and coils, and copper nickel straight tubes and coils; copper and brass pipe fittings; copper and brass rods; copper busbars; lithium battery and electronic circuit copper foil; aluminum flat and round tubes; honeycomb denitration catalysts; refrigerant branch pipes, rubber pipe insulation, air conditioning cable ties, and welding rods; and environmentally friendly materials. It serves the new energy, home appliance, power, semiconductor, 5G communication, and construction industries. The company also engages in the loan and financial…
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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.