Praise Victor Industrial Co (7768) Fair Value & Analysis
Basic Materials · TW · Market cap 30.8B TWD
Analysis
Praise Victor Industrial Co (7768) currently trades at 385.00 TWD, while our model-based Fair Value estimate is 44.52 TWD — implying the stock looks roughly 88.4% 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: medium).
About the company
Praise Victor Industrial Co., Ltd. designs, produces, and trades in polyurethanes (PU) materials. It provides chemical mechanical polishing (CMP) pads; CMP parts, such as membranes, pedestal films, support films, backing films, hub pads, rollers, and other products used in semiconductor and optoelectronic industries; PU gels, which is used for insoles, mouse pads, and various seat cushions; foam series products for safety balls, shoe materials, medical care equipment, and furniture materials; and safety-ball products, softsole, cupsole, golf insole, basketball insole, and fitnesssole for health products. The company also offers polyurethane reactive hot melt adhesives for bonding automotive lighting, fabric adhesion, footwear bonding, and the adhesion of plastic components to metal and glass; 2K solvent-free polyurethane adhesives for paper-plastic and aluminum-plastic structures; and TPU adhesives for shoe adhesives, leather, rubber boat, and PU primer. In addition, it provides PU …
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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.