Algoma Steel Group (ASTL) Fair Value & Analysis
Basic Materials · US · Market cap $484M
Analysis
Algoma Steel Group (ASTL) currently trades at $3.99, while our model-based Fair Value estimate is $0.8000 — implying the stock looks roughly 79.9% overvalued today. We read business quality at 97/100 (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: low).
About the company
Algoma Steel Group Inc. produces and sells steel products in Canada, the United States, and internationally. The company offers flat/sheet steel products, including temper rolling, cold rolled, hot-rolled pickled and oiled products, floor plate, and cut-to-length products for the automotive industry, hollow structural tube product manufacturers, and the light manufacturing and transportation industries; and plate steel products consisting of rolled, hot-rolled, and heat-treated for use in the construction or manufacture of railcars, buildings, bridges, off-highway equipment, storage tanks, ships, armored products for military applications, diameter pipelines, and wind energy generation equipment. It also provides by-products, such as furnace and buckwheat coke, braize coke, and flue dust; high sulpur beach and kish iron, BOF pit grissly and scrap, BOF and pellet fines, and mill roll scale; light oil and coal tar; granulated and air cooled slag; and machine shop turnings, used mill r…
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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.