Nan Pao Resins Chemical Co (4766) Fair Value & Analysis
Basic Materials · TW · Market cap 44.7B TWD
Fair value as of: Jun 24, 2026
Analysis
Nan Pao Resins Chemical Co (4766) currently trades at 346.50 TWD, while our model-based Fair Value estimate is 344.31 TWD — implying the stock looks roughly 0.6% overvalued today. We read business quality at 86/100 (high quality), in the Basic Materials 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
Nan Pao Resins Chemical Co., Ltd. engages in the manufacturing, wholesale, and retail sale of synthetic resins and plastics, adhesives, resin coatings, dyes, and pigments in Taiwan, rest of Asia, Oceania, Europe, Africa, and America. The company offers footwear adhesives, including water based polyurethane dispersion, footwear cleaners, primers, and hardeners, as well as T-PU and shoe adhesives; and adhesives and specialties, such as textile, woodworking and furniture, construction, graphic arts, tape and label, paper converting, rigid packaging, leather coating, specialty, flexible packaging, construction and decoration, nonwoven, pressure sensitive, and other adhesives, as well as product assembly. It also provides hot melt adhesives comprising footwear, bookbinding, carton sealing/packaging, woodworking, hygiene, cushion/EPE foam, labeling, filter glue, automatic, insect trapping, pocket spring assembly, and medical tap adhesives; coatings, including building and construction, fl…
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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.