Ningbo Jintian Copper (Group) Co (601609) Fair Value & Analysis
Basic Materials · CN · Market cap 21.7B CNY
Analysis
Ningbo Jintian Copper (Group) Co (601609) currently trades at ¥12.72, while our model-based Fair Value estimate is ¥7.40 — implying the stock looks roughly 41.8% 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
Ningbo Jintian Copper (Group) Co., Ltd. manufactures and sells copper-based products in China and internationally. The company offers high precision bronze strip, brass strips, and copper plate and strips; copper valves, gas valves, cast steel valves, stainless steel valves, sanitary wares, water meters, and various pipe fittings; gate valves, ball valves, stop valves, check valves, filter ,temperature -sensing valves,reducing valves ,vent valves ,corrugated pipes, water meter, stopcock, water injection, and well choke. It also imports and exports non-ferrous metal materials and mineral products, such as copper, zinc, nickel, machinery and equipment, plastic raw materials, chemical raw materials, household appliances, textiles and clothing, light industrial crafts, building materials, decoration materials, hardware and machinery, solar products, copper products, and auto parts. In addition, the company provides copper rod, copper ingots, and round copper rod; copper rod; enameled wi…
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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.