Shenzhen Prince New Materials Co (002735) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 8.0B CNY
Analysis
Shenzhen Prince New Materials Co (002735) currently trades at ¥19.64, while our model-based Fair Value estimate is ¥12.54 — implying the stock looks roughly 36.2% overvalued today. We read business quality at 88/100 (high quality), in the Consumer Cyclical 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
Shenzhen Prince New Materials Co.,Ltd. produces and sells packaging materials in China. It provides plastic packaging, military electronics, film capacitors, and mobile power products. The company offers plastic products, including compound and ordinary plastic bags, packing films, blister tray products, medicine packing, and bearing band products; and environmentally friendly materials, energy project, electronic and internet products packaging materials, semiconductor peripheral packaging products, and visual packaging materials. It also provides food and medicine printing, thin honeycomb paper, EPS, EPO, carton, molded pulp, and plastic tray packaging materials. Its military electronics products include centralized control equipment, reinforced computers and peripherals, optoelectronic equipment, signal processing equipment, RF power amplifiers, special shelters, and software customization and development. The company was founded in 1997 and is based in Shenzhen, China.
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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.