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CoAsia Electronics Corp (8096) Fair Value & Analysis

Technology · TW · Market cap 19.8B TWD

Price150.50 TWD
Fair Value32.60 TWD
Upside-78.3%
Quality95/100
Evidence: High Range 15.20 TWD – 50.00 TWD

Analysis

CoAsia Electronics Corp (8096) currently trades at 150.50 TWD, while our model-based Fair Value estimate is 32.60 TWD — implying the stock looks roughly 78.3% 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: high).

About the company

CoAsia Electronics Corp. provides components for mobile multimedia in Taiwan, rest of Asia, and Europe. The company offers CMOS, 3D, and automotive image sensors; processors, PMICs, and NFC components; memory products, such as DRAM, SSD, eStorage, and MCP; and foundry solutions. It also provides mobile and IT AMOLEDs; and OIS+AF controller and driver ICs for camera modules, and MicroLED driver ICs, as well as micro controller units for remote controllers, and small home and LCD applications. In addition, the company manufactures and sells semiconductor peripheral products; and engages in the software and hardware technology development, and international trade and entrepot trade activities, as well as design, manufacture, and wholesale of electronic components. The company was formerly known as CoAsia Microelectronics Corp. CoAsia Electronics Corp. was founded in 1997 and is based in Taipei, 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.