Minmetals Development Co (600058) Fair Value & Analysis
Basic Materials · CN · Market cap 11.0B CNY
Analysis
Minmetals Development Co (600058) currently trades at ¥11.31, while our model-based Fair Value estimate is ¥9.51 — implying the stock looks roughly 15.9% 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
Minmetals Development Co., Ltd. engages in resource trading, metal trading, and supply chain services in China and internationally. The company operates through six segments: Steel Trading, Metallurgical Raw Materials Trading, Smelting and Processing, Logistics Services, Bidding and Tendering Services, and Other. It offers iron ore, chrome ore, manganese ore, ferroalloys, coal, coke, scrap steel, electrolytic manganese, metallurgical raw materials, and ferroalloy products, as well as steel and metal products to engineering construction and industrial manufacturing sectors. The company also provides supply chain services, including warehousing and processing, shipping/freight forwarding, online freight, insurance brokerage, bidding agency, and online transaction services to steel mills and end users; shipping agency, and ocean freight services, such as dry bulk, general cargo, container and engineering logistics; insurance brokerage services, such as risk management consulting servic…
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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.