Fortune Oriental Company (2491) Fair Value & Analysis
Consumer Cyclical · TW · Market cap 2.6B TWD
Fair value as of: Jun 24, 2026
Analysis
Fortune Oriental Company (2491) currently trades at 39.45 TWD, while our model-based Fair Value estimate is 21.61 TWD — implying the stock looks roughly 45.2% overvalued today. We read business quality at 80/100 (high quality), in the Consumer Cyclical 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
Fortune Oriental Company Limited engages in the manufacture and sale of lighting related application products in Taiwan. It also offers memory products, such as DRAM module, DDR3, DDR3L, DDR4, EEPROM, and SPINOR flash; power related components, including PMIC, BUCK, LED driver, USB port management, protection, switch, reset, battery management, motor driver, and audio line driver products; MOSFET; ambient light, temperature and humidity, hall, position, and pressure sensors; and lithium battery related products. In addition, it engages in the investment; estate development and leasing; and electric vehicle power system development businesses, as well as import and export trade of electronic products. The company was formerly known as Infodisc Technology Co., Ltd. and changed its name to Fortune Oriental Company Limited in June 2016. Fortune Oriental Company Limited was founded in 1984 and is headquartered in New Taipei 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.