Integrated Service Technology Inc (3289) Fair Value & Analysis
Technology · TW · Market cap 13.8B TWD
Fair value as of: Jun 24, 2026
Analysis
Integrated Service Technology Inc (3289) currently trades at 169.50 TWD, while our model-based Fair Value estimate is 71.39 TWD — implying the stock looks roughly 57.9% 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
Integrated Service Technology Inc. research, develops, and manufactures integrated circuits, analysis and burn-in, and testing in Taiwan and internationally. The company provides MOSFET wafer backend processes, which offer MOSFET front-side metallization, such as chemical/electro-less plating and front-side metal sputtering deposition; MOSFET backside grinding processes; MOSFET backside metallization processes comprising metal evaporation deposition and thick Ag process; and turnkey solutions for backend processes, which include chip probing, laser marking, vacuum mounting, ring removal, die sawing, frame probing, tape and reel, and final test. It also offers verification analysis services, such as focused ion beam (FIB) circuit edit; engineering sample preparation services, including grinding, wafer dicing saw, die bonding, IC wire bonding/assembly solutions, and surface mount technique process; failure analysis offers electrical characteristics measurement, non-destructive analysi…
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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.