Highlight Tech Corp (6208) Fair Value & Analysis
Industrials · TW · Market cap 8.2B TWD
Fair value as of: Jun 24, 2026
Analysis
Highlight Tech Corp (6208) currently trades at 105.50 TWD, while our model-based Fair Value estimate is 47.17 TWD — implying the stock looks roughly 55.3% overvalued today. We read business quality at 80/100 (high quality), in the Industrials 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
Highlight Tech Corp. designs, manufactures, sells, retails, wholesales, repairs, and maintains electronic components in Taiwan, Japan, and China. It offers cylindrical, box, D shape, spherical, polygon, bell jar, large, and aluminum vacuum chambers, as well as vacuum modules and systems; vacuum chamber kits; ultra-high vacuum chambers; and vacuum poppet, aluminum alloy angle, vacuum gate, vacuum butterfly, rectangular gate, pendulum, teflon coating, vacuum ball, vacuum check, valve and pumping, and metal vacuum valves, as well as vacuum valve kits. The company also provides vacuum components, including elbows-tees-crosses fittings, vacuum flanges, teflon bellows, hydroformed vacuum bellows, centering rings, vacuum clamps, adaptor fittings, vacuum viewports, vacuum feedthroughs, vacuum mold gauge and accessories, as well as KF, ISO, UHV, and CF components; and vacuum pumps comprising edwards turbomolecular, scroll, and refurbished vacuum pumps, and EBARA dry pump repair kits. In addi…
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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.