Angang Steel Company (ANGGF) Fair Value & Analysis
Basic Materials · US · Market cap $1.4B
Fair value as of: Jun 26, 2026
Analysis
Angang Steel Company (ANGGF) currently trades at $0.1500, while our model-based Fair Value estimate is $0.0700 — implying the stock looks roughly 53.3% overvalued today. We read business quality at 93/100 (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
Angang Steel Company Limited engages in the production, processing, and sale of steel products in the People's Republic of China and internationally. Its principal products include hot rolled sheets, medium and high sheets, cold rolled sheets, galvanized steel sheets, color coating sheets, cold rolled silicon steel, heavy rails and profiles, seamless steel pipes, and wire rods. The company also engages in ferrous metal smelting and steel rolling processing activities. In addition, it sells metal materials and products, and building materials, etc.; and purchases and sells metal and other materials, as well as imports, exports, wholesales, and retails steel and goods. Further, the company engages in the production of metal wire ropes, coal chemical, coking and chemical products, and products and dissolved acetylene; and sale of compressed and liquefied gas. Additionally, it engages in e-commerce transactions of industrial products; provision of consulting and logistics distribution t…
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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.