CITIC Metal Co (601061) Fair Value & Analysis
Basic Materials · CN · Market cap 58.2B CNY
Analysis
CITIC Metal Co (601061) currently trades at ¥12.54, while our model-based Fair Value estimate is ¥5.09 — implying the stock looks roughly 59.4% overvalued today. We read business quality at 95/100 (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
CITIC Metal Co., Ltd, together with its subsidiaries, trades in metals and mineral products in China and internationally. The company offers ferrous and non-ferrous metals; iron ore; steel plates, including hot and cold rolled steel sheets, zinc plated steel sheets, and moderately thick steel plates; steel strips and tubular steel products; cooper products, such as copper concentrate, electrolytic copper, blister copper, and copper cathodes; niobium; aluminum products comprising electrolytic aluminum, aluminum oxide, bauxite, and aluminum bars; and special minerals, which include chrome ores, manganese ores, ferrochromium, and silicomanganese. It also provides dry bulk shipping services; produces titanium alloys, low-temperature superconducting materials, and high-temperature alloys; imports and trades in platinum, gold, and other precious metals; and invests in mining companies that explore copper, zinc, and nickel. In addition, the company engages in investment management; transsh…
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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.