Fujian Fynex Textile Science & Technology Co (600493) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 1.6B CNY
Fair value as of: Jun 24, 2026
Analysis
Fujian Fynex Textile Science & Technology Co (600493) currently trades at ¥5.80, while our model-based Fair Value estimate is ¥1.27 — implying the stock looks roughly 78.1% 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
Fujian Fynex Textile Science & Technology Co., Ltd., together with its subsidiaries, engages in the production and processing of knitting and woven colored fabrics in China and internationally. The company is involved in the bleaching, dyeing, spinning, printing, processing, and selling of fabrics. It also offers single and double-sided, rib, spandex, sholer, jacquard, color striped, and plain cloth; cross, french, and jacquard rib; single and double sweater; towel; flannel; twill; single and double bead; and air layer. In addition, the company provides cotton, nylon, acrylic, rayon, and brocade sticky and cloth, as well as polyester viscose, cotton, and hydrogen. It exports its products to Hong Kong, Taiwan, the Middle East, Europe, the United States, and Japan. The company's products are used in children and women's clothing, menswear, movement, leisure, outdoor, and home applications. Fujian Fynex Textile Science & Technology Co., Ltd. was founded in 1991 and is headquartered in …
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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.