U-Best Innovative Technology Co (4714) Fair Value & Analysis
Basic Materials · TW · Market cap 2.4B TWD
Fair value as of: Jun 25, 2026
Analysis
U-Best Innovative Technology Co (4714) currently trades at 12.50 TWD, while our model-based Fair Value estimate is 4.13 TWD — implying the stock looks roughly 67.0% overvalued today. We read business quality at 80/100 (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: low).
About the company
U-Best Innovative Technology Co., Ltd., together with its subsidiaries, manufactures and trades in polymer chemical raw materials in Taiwan, Vietnam, and internationally. The company offers polyurethane (PU) synthetic resins, such as one and two component resins, water-based resins, nylon resins, surface treatment resins, crosslinking against, and wet-curing reactive hot melt adhesives. It also provides raw materials; thermoplastic polyurethane elastomer (TPU), including synthetic leathers, polyester extrusion, moisture-permeable membrane, thin film material, injection processing, and shoe adhesives; flexible OLED hard coat films; plastic leathers; and flocked fabrics. In addition, the company develops, leases, and sells residential and office buildings; breeds livestock; manufactures and trade in synthetic and plastic skins; engages in construction activities; and trades in commodities. U-Best Innovative Technology Co., Ltd. was incorporated in 1991 and is headquartered in Tainan C…
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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.