Jiangsu Jujie Microfiber Technology Group (300819) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 10.7B CNY
Analysis
Jiangsu Jujie Microfiber Technology Group (300819) currently trades at ¥71.19, while our model-based Fair Value estimate is ¥8.28 — implying the stock looks roughly 88.4% overvalued today. We read business quality at 95/100 (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: high).
About the company
Jiangsu Jujie Microfiber Technology Group Co., Ltd. engages in the research and development, production, and sale of microfiber fabrics, clothing, and textile products in China. The company offers microfiber finished products, microfiber imitation leather fabrics, and microfiber functional fabrics; home textile products, including bath towels, bathrobes, sofa covers, and other household textiles; sports series products, such as sports towels, sportswear, and auxiliary equipment; and ultrafine fiber imitation leather fabrics used in fashion, home furnishing, automotive interiors, electronic products, shoe materials, and other fields. It also provides microfiber dust-free cleaning products used in the cleaning and wiping of LED liquid crystal, polarizer and other optical films, coated optical lenses, camera lenses, semiconductors, integrated circuits, precision components, and coating equipment, including various types of wiping cloths, wipe papers, and clean roll cloths. The company …
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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.