Fujian Nanwang Environment Protection Scien-Tech Co (301355) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 2.0B CNY
Fair value as of: Jun 25, 2026
Analysis
Fujian Nanwang Environment Protection Scien-Tech Co (301355) currently trades at ¥10.28, while our model-based Fair Value estimate is ¥4.85 — implying the stock looks roughly 52.8% overvalued today. We read business quality at 91/100 (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
Fujian Nanwang Environment Protection Scien-Tech Co.,Ltd researches, develops, manufacture, and sells paper bags, food-grade paper packaging, non-woven bags, and thermal paper receipts in China. It offers foodservice disposables, including paper containers, cups, straws, bowls and fried chicken cups, and cones, as well as burger wrappers; and food grade paper bags, such as bakery, pastry, cookie, sandwich, fast food restaurant, and food delivery paper bags. The company also provides retail paper bags comprising turn top J-cut, flat handle, die cut handle, twisted handle, and twill handle bags; non-woven bags, including vest, one-step forming, and thermal bags; adhesive labels and receipts; and food-grade fluorine-free grease-proof paper, waterproof self-sealing paper, flat handle inner fold courier, square bottom courier, pointed bottom courier, and naturally degradable glassine bags. In addition, it exports its products. Fujian Nanwang Environment Protection Scien-Tech Co.,Ltd was …
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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.