Shuang-Bang Industrial Corp (6506) Fair Value & Analysis
Basic Materials · TW · Market cap 1.5B TWD
Fair value as of: Jun 24, 2026
Analysis
Shuang-Bang Industrial Corp (6506) currently trades at 18.70 TWD, while our model-based Fair Value estimate is 12.64 TWD — implying the stock looks roughly 32.4% overvalued today. We read business quality at 94/100 (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: high).
About the company
Shuang-Bang Industrial Corp. develops and manufactures polyurethane (PU) resins for shoes, synthetic leather crosslinkers, and polyol resins in Taiwan. It offers synthetic resins, including solvent base resins, PU foam resins, polyester polyol, reactive PUR hot melt adhesives, and PU prepolymer/PU elastomer; water base resins; hardeners, which include methylene dianiline and methylene chloroaniline; and photoinitiators. The company also provides TPU series products, including blown films, such as moisture permeability and general films; TPU extrusion films, water base PU/TPU and PU/TPU/HMA, solvent base PU/TPU and PU/TPU/HMA, and breathable PU/HMA; granulation products that include TPU pellets and low carbonization-TPU pellets; and footwear. In addition, it offers direct coating materials, transfer lamination and dot lamination materials, and PU membranes. The company's products are used in sports shoes, medical supplies, clothing, and outdoor/sports goods. Shuang-Bang Industrial Co…
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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.