Jiangsu ToLand Alloy Co (300855) Fair Value & Analysis
Basic Materials · CN · Market cap 12.8B CNY
Analysis
Jiangsu ToLand Alloy Co (300855) currently trades at ¥34.18, while our model-based Fair Value estimate is ¥6.67 — implying the stock looks roughly 80.5% overvalued today. We read business quality at 95/100 (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 ToLand Alloy Co.,Ltd engages in the research, development, production, and sale of high temperature alloys, special stainless steels, and other high-performance alloy materials and relevant products in the People's Republic of China and internationally. The company offers casting master alloys and investment casting products; deforming superalloys comprising round and non-circular wires, cold-rolled and hot-rolled strips and sheets, and seamless pipes, as well as hot-rolled, cold-drawn, and hot-forged bars; and special stainless-steel products. It also provides nickel base corrosion resistant alloys; precision alloys; welding materials, such as weld wires for argon arc welding, and special welding core wire for submerged arc welding; and high-resistance electric heating alloys. In addition, the company is involved in the manufacture of aviation, spacecraft, and equipment parts. Further, its products are used in various applications, such as electricity, automobiles, metallur…
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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.