Nippon Steel Corporation (NISTF) Fair Value & Analysis
Basic Materials · US · Market cap $18.3B
Analysis
Nippon Steel Corporation (NISTF) currently trades at $3.37, while our model-based Fair Value estimate is $4.25 — implying the stock looks roughly 26.1% undervalued today. We read business quality at 92/100 (high quality), in the Basic Materials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Nippon Steel Corporation engages in the steelmaking and steel fabrication, engineering, chemicals and materials, and system solutions businesses in Japan and internationally. The company's Steelmaking and Steel Fabrication segment engages in the manufacture and sale of steel products. Its Engineering and Construction segment engages in the design, manufacture, sale, construction, and supervision of various plants and facilities, energy pipelines, water facilities, industrial machinery and equipment, buildings, building materials and equipment, steel structures, etc.; operation, management, and maintenance of plants and facilities, etc.; waste treatment and recycling business; and electricity, gas, heat, and other supply businesses. The company's Chemicals and Materials segment engages in the manufacture and sale of coal-based chemical products, petrochemicals, electronic materials, and materials and components for semiconductors and electronic parts; carbon fiber and composite produ…
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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.