Young Fast Optoelectronics Co (3622) Fair Value & Analysis
Technology · TW · Market cap 8.3B TWD
Fair value as of: Jun 24, 2026
Analysis
Young Fast Optoelectronics Co (3622) currently trades at 56.40 TWD, while our model-based Fair Value estimate is 58.27 TWD — implying the stock looks roughly 3.3% undervalued today. We read business quality at 94/100 (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
Young Fast Optoelectronics Co., Ltd. manufactures and sells power cable accessories for power generation, transmission, and distribution in Taiwan, Asia, Europe, and the United States. The company operates through Optoelectronic Business, and Mechanical and Electrical Business segments. It offers strengthened glass and surface treatment, capacitive touch panels, resistive touch panels, electromagnetic touch panels, 4 and 5 wire resistive touch panels, electronic paper display (EPD) front light bonding, EPD front lighting technology, anti-glare coating, anti-reflection glass, and anti-fingerprint glass. The company is also involved in research, development, manufacturing, and sales of various types of touch panels. Its products have applications in automotive, medical, military, gaming, retail, transportation, office equipment, substation, overhead line connection station, and underground manholes. The company was formerly known as The Optoelectronics Division and changed its name to…
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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.