Jiangsu Dingsheng New Materials Joint-Stock Co (603876) Fair Value & Analysis
Basic Materials · CN · Market cap 24.6B CNY
Analysis
Jiangsu Dingsheng New Materials Joint-Stock Co (603876) currently trades at ¥27.17, while our model-based Fair Value estimate is ¥11.91 — implying the stock looks roughly 56.2% 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: high).
About the company
Jiangsu Dingsheng New Materials Joint-Stock Co.,Ltd engages in research and development, production, and sale of aluminum plates and foils. Its products portfolio includes aluminum and aluminum alloy plates, belts, sheets, and coating materials, as well as processed products comprising aluminum oxide plates, cable foils, air-conditioner foils, decorative building material aluminum foils, air conditioner refrigerator evaporators, condensers, container foils, single and double zero foils, aluminium matrix composite, battery foil, and others. The company also offers PS version aluminium strips for computers, container foils, single foils, double zero foils, aluminum matrix composite products, battery foils, air conditioning foils, and aluminum sheets and strips. It serves green packaging, household appliances, lithium batteries, transportation, architectural decoration, automotive, and other fields. The company was formerly known as Zhenjiang Dingsheng Aluminum Industry Co., Ltd. Jiang…
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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.