Lan Fa Textile Co (1459) Fair Value & Analysis
Consumer Cyclical · TW · Market cap 3.7B TWD
Fair value as of: Jun 24, 2026
Analysis
Lan Fa Textile Co (1459) currently trades at 11.70 TWD, while our model-based Fair Value estimate is 6.20 TWD — implying the stock looks roughly 47.0% 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
Lan Fa Textile Co., Ltd., together with its subsidiaries, manufactures and sells polyester processed yarns in Taiwan, Mainland China, Thailand, Vietnam, South Korea, and internationally. The company offers semigloss, non-gloss, and gloss yarns; superfine fibers for buckskin textile fabric applications; compounding fibers, including CD series, contracted yarn, and fat-thin yarn for skirts and trousers materials, suits, tatting and knitting, imitation suedes, jackets, and tricolor yarns applications. It also provides functional fibers comprising hygroscopic and perspiration yarns used in sport and golf suits, female underwear and bras, shirt jackets, hats, socks, gloves, kneecaps, waist shields, and knitting and plain weaving; hollow warm-keep yarns used in winter clothes, feather coats, and sport suits; anti-ultraviolet yarns use for anti-ultraviolet textile fabrics; and difficult flammable yarns used in indoor home-bunting and decoration materials for cars. In addition, the company …
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Lan Fa Textile Co (1459) undervalued?
What is the fair value of 1459?
What is the quality score of 1459?
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.