BlueScope Steel Limited (BLSFF) Fair Value & Analysis
Basic Materials · US · Market cap $8.8B
Analysis
BlueScope Steel Limited (BLSFF) currently trades at $19.65, while our model-based Fair Value estimate is $4.09 — implying the stock looks roughly 79.2% overvalued today. We read business quality at 89/100 (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
BlueScope Steel Limited engages in the production and marketing of metal-coated and painted steel building products in Australia, New Zealand, Asia, and North America. The company operates through five segments: Australian Steel Products, North Star BlueScope Steel, Buildings and Coated Products North America, Coated Products Asia, and New Zealand & Pacific Islands. It offers coated and painted flat steel products, including zinc/aluminium alloy coated steel; and galvanized and zinc/aluminium alloy coated pre-painted steel, as well as manufactures pipes and tubes. The company is also involved in the supply of hot rolled coils; the provision of engineered building solutions, such as coil paintings; and the development of industrial properties, primarily warehouses and distribution centres. In addition, it provides metal coating, painting, and steel building solutions; and steel slabs, billets, plates, cold-rolled coils, reinforcing coils, rods, wires, and bars, as well as value-added…
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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.