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Zilltek Technology Corp (6679) Fair Value & Analysis

Technology · TW · Market cap 14.3B TWD

Price284.50 TWD
Fair Value132.34 TWD
Upside-53.5%
Quality95/100
Evidence: High Range 102.80 TWD – 168.86 TWD

Fair value as of: Jun 24, 2026

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Analysis

Zilltek Technology Corp (6679) currently trades at 284.50 TWD, while our model-based Fair Value estimate is 132.34 TWD — implying the stock looks roughly 53.5% 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

Zilltek Technology Corp. engages in the design, research, development, manufacturing, and sale of sensor components and its application chipsets in Taiwan, China, and internationally. It offers analog and digital MEMS microphones; digital barometric pressure and temperature sensors; audio amplifiers; DC/DC converters; LDO products; and touch screen controllers. The company is also involved in manufacturing and trading of electronic components. Its products are used in PCs, wearable devices, and IoT applications. The company was founded in 2005 and is based in Hsinchu City, Taiwan.

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Frequently asked questions

Is Zilltek Technology Corp (6679) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 132.34 TWD versus a price of 284.50 TWD — about −53% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 6679?
Our 21-model fair value for Zilltek Technology Corp is 132.34 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 284.50 TWD.
What is the quality score of 6679?
Zilltek Technology Corp has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.