Jiangsu Shagang Co (002075) Fair Value & Analysis
Basic Materials · CN · Market cap 8.5B CNY
Analysis
Jiangsu Shagang Co (002075) currently trades at ¥3.73, while our model-based Fair Value estimate is ¥2.27 — implying the stock looks roughly 39.1% overvalued today. We read business quality at 80/100 (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
Jiangsu Shagang Co., Ltd. engages in the development, smelting, processing, and sale of ferrous metals in China and internationally. It offers steel products, including automotive, engineering machinery, energy, machinery industry, rail transit, mining, and ship anchor chain steel products; casting round billets; gear products, such as automobile engine, gearbox, rear axle, spiral bevel, commercial vehicle, and new energy vehicle gears; and hot-rolled round and flat steel products. The company also provides heavy and thick plates, hot-rolled plates, cold-rolled plates, ultra-thin strips, high-speed wire rods, large coiled wire rods, and ribbed rebars under the Shagang brand. Its products are used in aerospace, marine engineering, high-rise buildings, bridges, pipelines, petrochemicals, automotive, home appliances, and food packaging industries. In addition, the company is involved in steel trading; sale of gasoline, diesel, and lubricant; development and sale of real estate; pellet …
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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.