Shinkong Textile Co (1419) Fair Value & Analysis
Consumer Cyclical · TW · Market cap 19.3B TWD
Analysis
Shinkong Textile Co (1419) currently trades at 66.60 TWD, while our model-based Fair Value estimate is 52.62 TWD — implying the stock looks roughly 21.0% 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
Shinkong Textile Co., Ltd. engages in the production and sale of various synthetic fibers, grey fabrics, and finished fabrics in Taiwan and internationally. The company operates through Business Department, Retail Department, and Real Estate Division segments. It offers athleisure, business active, urban lifestyle, sports, outdoor, medical, and work wears. It is also involved in the residential and building development, rental, and sales; industrial plant development; rental and sales; industrial zones development and investment in public construction; general investment; textile finishing, textile printing, and textiles; departmental stores; clothing, leather goods, bags, daily necessities, and handicrafts; gifts and packaging materials; wholesale of automobiles; retail of auto/motorcycle parts and accessories; car repair, rental, and other services; locomotive and parts manufacturing; and projects for the development of business and specialized professional zones, as well as land …
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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.