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VisEra Technologies Company (6789) Fair Value & Analysis

Technology · TW · Market cap 167B TWD

Price546.00 TWD
Fair Value80.05 TWD
Upside-85.3%
Quality95/100
Evidence: High Range 60.04 TWD – 100.06 TWD

Analysis

VisEra Technologies Company (6789) currently trades at 546.00 TWD, while our model-based Fair Value estimate is 80.05 TWD — implying the stock looks roughly 85.3% 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

VisEra Technologies Company Ltd. manufactures and sells electronic spare parts in Taiwan, rest of Asia, Europe, and the United States. The company engages in designing, researching, developing, manufacturing, packaging, testing, and selling of color filters. It also offers image sensors, optical finger print sensors, light sensors, and time of flight sensors; and wafer level testing and wafer level optical thin film services. In addition, the company provides optical component manufacturing, simulation, integration, wafer level characterization, and customized services. Its products are used in automotive, security, augmented and virtual reality, and smart home applications, as well as mobile phones and biomedical sensors. The company was incorporated in 2003 and is headquartered in Hsinchu City, Taiwan. VisEra Technologies Company Ltd. operates as a subsidiary of Taiwan Semiconductor Manufacturing Company Limited.

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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.