Nan Ya Plastics Corporation (1303) Fair Value & Analysis
Basic Materials · TW · Market cap 829B TWD
Analysis
Nan Ya Plastics Corporation (1303) currently trades at 156.00 TWD, while our model-based Fair Value estimate is 247.63 TWD — implying the stock looks roughly 58.7% undervalued today. We read business quality at 91/100 (high quality), in the Basic Materials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Nan Ya Plastics Corporation engages in the manufacture and sale of plastic products, polyester fibers, petrochemical products, and electronic materials in Taiwan, China, the United States, and internationally. It provides plastic products, such as PP synthetic paper, adhesives, optical films, outdoor decoration materials, TPU films, synthetic leathers, PU resins, doors, Neuma fire-rated doors and windows, plastic pallets, PVC cling and PE Stectch films, BOPP film, engineering and PVC compounds, unsaturated polyesters, pipes and fittings, rigid sheets, A-PET sheet/rigid films, interior decoration materials, PVC sheets, PVC rigid sheet, injection, decoration and window films, PET films, and PU-DISCs. The company also offers chemicals, including phthalate plasticizers, phthalic anhydride, alcohols, glycols, curing agents, hydrogen peroxide, tetrahydrofuran, butanediol, bisphenol-A, epoxidized soybean oil, stabilizers, liquefied gases, and epoxy. In addition, it offers electronic materi…
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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.