Shanghai Zhongzhou Special Alloy Materials Co (300963) Fair Value & Analysis
Industrials · CN · Market cap 6.6B CNY
Fair value as of: Jun 24, 2026
Analysis
Shanghai Zhongzhou Special Alloy Materials Co (300963) currently trades at ¥14.04, while our model-based Fair Value estimate is ¥2.25 — implying the stock looks roughly 84.0% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Shanghai Zhongzhou Special Alloy Materials Co., Ltd. engages in the research, development, production, and sale of alloy materials and components in China and internationally. It offers cobalt, nickel, iron, and copper-based castings; forgings, springs, and pipes and plates; welding powders and electrodes, bare rods, and nickel-base alloy filler wires; and PTA welding equipment. The company also provides CNC machining, PTA powder surfacing system, and cold metal transfer technology services. Its products are used in petrochemical, nuclear power, automobile, medical device, new energy and other special industries and equipment. The company was founded in 1993 and is headquartered in Shanghai, China.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Shanghai Zhongzhou Special Alloy Materials Co (300963) undervalued?
What is the fair value of 300963?
What is the quality score of 300963?
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.