Yao I Fabric Co (4430) Fair Value & Analysis
Consumer Cyclical · TW · Market cap 990M TWD
Fair value as of: Jun 24, 2026
Analysis
Yao I Fabric Co (4430) currently trades at 17.35 TWD, while our model-based Fair Value estimate is 9.84 TWD — implying the stock looks roughly 43.3% 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
Yao I Fabric Co., Ltd. manufactures and sells of fiber products in Taiwan, Sweden, Hong Kong, the United States, Vietnam, China, Japan, the United Kingdom, Germany, Malaysia, and internationally. It offers fishing, tennis, badminton racket, and cutting lines; industrial wires, monofilament, tech textile, pet mats, breathable beds, knitted cotton car seats, car seats with blankets, and automotive sound-absorbing cotton materials; and environmentally friendly stretch cotton, firewood, stretch cotton, and electronic supplies blankets, as well as shoes with cotton insulation class, and bedding and sofa with a stretch cotton. The company provides glasses and jewel cases, earphone boxes, cat baskets, baby pillows, baby comforter, underwear, shoe material, automobile decoration and auto filters; and home accessories comprising cushion, shoe rack, trunk, throw pillow, table mat, bucket bags, phone holder, storage boxes, clocks, lamp chimneys, ground mats, and bags. It sells its products und…
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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.