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Higgstec Inc (5220) Fair Value & Analysis

Technology · TW · Market cap 835M TWD

Price21.25 TWD
Fair Value6.59 TWD
Upside-69.0%
Quality95/100
Evidence: Low Range 4.94 TWD – 8.23 TWD

Fair value as of: Jun 25, 2026

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Analysis

Higgstec Inc (5220) currently trades at 21.25 TWD, while our model-based Fair Value estimate is 6.59 TWD — implying the stock looks roughly 69.0% 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: low).

About the company

Higgstec Inc. engages in the research and development, manufacture, and sales of various touch panels in Taiwan, the rest of Asia, Europe, the United States, and internationally. It offers capacitive touch screens, resistive touch screens, and touch display modules to industrial, medical, rugged, transportation, automotive, and commercial and entertainment sectors. The company also offers outdoor applications, polarized sunglasses and optics, thick gloves and moisture, impact-resistant glass, and EMI interference protection solutions. The company was founded in 2002 and is headquartered in Yilan City, Taiwan.

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Frequently asked questions

Is Higgstec Inc (5220) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 6.59 TWD versus a price of 21.25 TWD — about −69% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 5220?
Our 21-model fair value for Higgstec Inc is 6.59 TWD (as of Jun 25, 2026), built from audited fundamentals. The current price is 21.25 TWD.
What is the quality score of 5220?
Higgstec Inc 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.