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Qifeng New Material Co (002521) Fair Value & Analysis

Basic Materials · CN · Market cap 4.0B CNY

Price¥6.85
Fair Value¥4.70
Upside-31.4%
Quality95/100
Evidence: High Range ¥3.52 – ¥5.87

Analysis

Qifeng New Material Co (002521) currently trades at ¥6.85, while our model-based Fair Value estimate is ¥4.70 — implying the stock looks roughly 31.4% 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

Qifeng New Material Co., Ltd. sells decorative base papers, overlay papers, and non-woven wallpaper base papers in China. The company also offers abrasive backing, surface wear resistant, wrapping, surface, flicker overlay, pre impregnated finishing base, sandpaper base, and leather papers, as well as decorative base papers for digital printing. In addition, it exports its products to approximately 30 countries and regions. The company also engages in the production and sale of electricity, heat, and nonwoven materials; research and development, and sale of organic and microbial fertilizers; sewage treatment; sale of recycled water; and reuse of reclaimed water. The company was formerly known as Shandong Qifeng Special Paper Co., Ltd. and changed its name to Qifeng New Material Co., Ltd. in September 2013. Qifeng New Material Co., Ltd. was founded in 1976 and is headquartered in Zibo, 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.