Shinkong Synthetic Fibers Corporation (1409) Fair Value & Analysis
Consumer Cyclical · TW · Market cap 40.8B TWD
Analysis
Shinkong Synthetic Fibers Corporation (1409) currently trades at 27.95 TWD, while our model-based Fair Value estimate is 20.43 TWD — implying the stock looks roughly 26.9% overvalued today. We read business quality at 88/100 (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: medium).
About the company
Shinkong Synthetic Fibers Corporation researches for, manufactures, and sells polyester chips and polyester films in Asia. The company's products primarily include partially oriented yarns, polyester filament yarns, fully drawn yarns, polyester staple fibers, polyester draw textured yarns, industrial yarns, polyester pellets, PET bottle grade resins, PET bottles, PET bottle preforms, engineering polymers, optical films, polyester films, and A-PET sheets. It also offers synthetic resins, plastic products; chemical fiber weaving, printing, and dyeing services; and leasing, investment, human resources management and securities investment consulting, and life and property insurance agency services, as well as electronic information software. In addition, the company manufactures magnetic tapes for recording and video disks, and polyester films; manufactures synthetic fibers; and manufactures electronic parts and components, and precision chemical materials, as well as engages in the who…
Open the full interactive analysis →
Similar stocks
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.