Sumitomo Metal Mining Co (STMNF) Fair Value & Analysis
Basic Materials · US · Market cap $13.2B
Analysis
Sumitomo Metal Mining Co (STMNF) currently trades at $48.99, while our model-based Fair Value estimate is $42.67 — implying the stock looks roughly 12.9% overvalued today. We read business quality at 88/100 (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
Sumitomo Metal Mining Co., Ltd., together with its subsidiaries, engages in the resource development, manufacture, and sale of non-ferrous metal products in Japan and internationally. It operates through Resource, Smelting, and Material segments. The company is involved in the development and operation of the Hishikari Mine and other mines; smelting and refining business, which provides metal products, such as copper, nickel and cobalt, silver, platinum, rhodium, ruthenium, palladium, slag sand, copper sulfate, selenium, gypsum, sulfuric acid, and green sand, as well as gold and precious metals, rolled copper foil, copper and brass strips, tin plated copper and brass strips, and iron contained pellets; and develops and produces battery materials. It also produces battery cathode material for vehicles; lithium tantalate and lithium niobate for communication devices; cesium tungsten oxide, other near infrared ray absorbing materials, and thick film pastes; copper-clad polyimide films …
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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.