Xintec Inc (3374) Fair Value & Analysis
Technology · TW · Market cap 66.9B TWD
Analysis
Xintec Inc (3374) currently trades at 303.50 TWD, while our model-based Fair Value estimate is 86.12 TWD — implying the stock looks roughly 71.6% 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
Xintec Inc. operates as a wafer level chip scale packaging company in Asia, the United States, and Europe. The company provides wafer level chip scale packaging, wafer-level back cover packaging, and testing services for semiconductors. It also offers optical sensor chip scale packaging services comprising side-wall interconnect and through silicon via XinTSV, various glass thickness and filters, and glass bonding to wafer with or without cavity; FSI/BSI/stack wafer reconstruction for mobile, automotive, and consumer applications; and specialty RW service with a glass lid for automotive applications. In addition, the company provides micro-electromechanical systems sensor packaging services, such as wafer thinning and bonded wafer partial dicing to reveal bonding pad; CSP, using via last TSV to connect pad on wafer surface toward backside; and dry etching silicon to form large cavities to derive product performance needs; as well as 3D I/O redistribution, power ground enhancement, a…
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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.