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Ability Opto-Electronics Technology Co (3362) Fair Value & Analysis

Technology · TW · Market cap 23.7B TWD

Price186.00 TWD
Fair Value74.99 TWD
Upside-59.7%
Quality95/100
Evidence: Medium Range 56.24 TWD – 93.74 TWD

Analysis

Ability Opto-Electronics Technology Co (3362) currently trades at 186.00 TWD, while our model-based Fair Value estimate is 74.99 TWD — implying the stock looks roughly 59.7% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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

Ability Opto-Electronics Technology Co.,Ltd. engages in the research, design, development, manufacturing, and sale of optical lens in Taiwan and internationally. The company provides optical lens products, including scanners, projectors, digital cameras, digital video recorders, multi-function printers, cell phone cameras, laptops, tablets, IP-cameras, monitors, automotive lens, etc.; and CCM/NB products, as well as lens for automotive, digital surveillance, special, professional, and other applications. It also offers technical services for precision optical lens. Ability Opto-Electronics Technology Co.,Ltd. was formerly known as SHIAN-JINN Precision Optical Co., Ltd and changed its name to Ability Opto-Electronics Technology Co.,Ltd. in 2001. The company was incorporated in 1986 and is based in Taichung, 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.