Zijin Mining Group (ZIJMF) Fair Value & Analysis
Basic Materials · US · Market cap $105B
Analysis
Zijin Mining Group (ZIJMF) currently trades at $3.58, while our model-based Fair Value estimate is $2.56 — implying the stock looks roughly 28.4% overvalued today. We read business quality at 80/100 (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
Zijin Mining Group Company Limited, together with its subsidiaries, engages in exploration and extraction of metals in Mainland China and internationally. The company offers copper, gold, zinc concentrate, lead concentrate, silver, lithium, iron concentrate, tungsten concentrate, and molybdenum concentrate; smelted copper, smelted and processed gold and silver, smelted zinc ingots, sulfuric acid, and battery -grade lithium carbonate; and copper pipes, copper plates and strips, potassium gold cyanide, and other products. It is also involved in mineral resource exploration; gold and copper mining and beneficiation; gold and copper smelting ; sales of jewelry and mineral products; investment in the mining industry; foreign trade; open-pit mining of copper and gold mines and underground mining of copper mines; manufacturing of special equipment for environmental protection; air pollution control; water pollution control; solid waste treatment; waste incineration power generation and haz…
Open the full interactive analysis →
Similar stocks
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.