Guangzhou Newlife New Material CO., LTD (301323) Fair Value & Analysis
Technology · CN · Market cap 11.4B CNY
Analysis
Guangzhou Newlife New Material CO., LTD (301323) currently trades at ¥99.28, while our model-based Fair Value estimate is ¥21.48 — implying the stock looks roughly 78.4% overvalued today. We read business quality at 94/100 (high quality), in the Technology 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
Guangzhou Newlife New Material CO., LTD engages in the research and development, production, and sales of magnetic materials and devices in China and internationally. It provides magnetic materials, such as flexible magnets, permanent magnets, multifunctional printing adhesive materials, write and wipe film materials, decorative building materials, etc.; high energy radiation protection materials, including medical radiation, industrial radiation, and nuclear ray protection materials; and electronic ceramic elements comprising ring varistors, metal oxide varistors, NTC thermistors, and other materials. The company also offers metal centering products, MM parts and high-density alloys; and consumer products, including office supplies and Stationery items, toys and educational products, decoration and souvenir products, and promotion and gift items. Its products are used in various applications, such as printing and advertising, decoration, office and schools, toys and stationery, and…
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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.