Ubright Optronics Corporation (4933) Fair Value & Analysis
Technology · TW · Market cap 5.6B TWD
Fair value as of: Jun 24, 2026
Analysis
Ubright Optronics Corporation (4933) currently trades at 67.50 TWD, while our model-based Fair Value estimate is 107.58 TWD — implying the stock looks roughly 59.4% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Ubright Optronics Corporation engages in the manufacture and sale of optical films in Taiwan. It offers prism, multi function, and quantum dot films for backlight displays; polarizer protection and anti-glare films for LCD displays; 3D curve display protection films for OLED displays; anti-static protection, in process panel protection, hard coat, masking protection, and optical clear adhesive films for touch panels; anti-glare films for E paper products; and ceramic window films for windows, as well as optoelectronic and electronic application products, including backlight module brightness enhancement films, composite films, quantum dot films, LCD panel polarizer protective films, TAC anti-glare films, OLED and 3D display curved surface protective films, touch panel and electronic paper-specific protective films, and OCA. The company is also involved in wholesale of molds. Ubright Optronics Corporation was founded in 2003 and is based in Taoyuan City, Taiwan. Ubright Optronics Cor…
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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.