Univacco Technology Inc (3303) Fair Value & Analysis
Industrials · TW · Market cap 5.5B TWD
Fair value as of: Jun 24, 2026
Analysis
Univacco Technology Inc (3303) currently trades at 59.00 TWD, while our model-based Fair Value estimate is 57.79 TWD — implying the stock looks roughly 2.1% overvalued today. We read business quality at 94/100 (high quality), in the Industrials 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
Univacco Technology Inc. engages in the production and sales of vacuum evaporation thin films and optoelectronic materials in Taiwan, Europe, Mainland China, America, and internationally. It offers various decorative and functional foils, including hot stamping, cold, holographic, and digital foils. The company also provides optoelectronics materials, including PET protective films, diffusers, SMD cover tape, medical films, and OEM for coating. It offers its products for wine, beer, and spirits label and packaging; food, drink, and confectionery label and packaging; tobacco/cigarette packaging; greeting cards and printed media; artificial leather book covers; personal care; cosmetics and perfumes; and pharmaceuticals applications. Univacco Technology Inc. was formerly known as Tai Leng Industry Co., Ltd and changed its name to Univacco Technology Inc. in January 2002. The company was founded in 1990 and is headquartered in Tainan City, Taiwan.
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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.