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VIA Technologies, Inc (2388) Fair Value & Analysis

Technology · TW · Market cap 36.7B TWD

Price78.60 TWD
Fair Value78.73 TWD
Upside+0.2%
Quality89/100
Evidence: Medium Range 59.05 TWD – 98.73 TWD

Analysis

VIA Technologies, Inc (2388) currently trades at 78.60 TWD, while our model-based Fair Value estimate is 78.73 TWD — implying the stock looks roughly 0.2% undervalued today. We read business quality at 89/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.

About the company

VIA Technologies, Inc. engages in the programming, design, manufacture, and sale of semiconductors and PC chip sets. The company offers automotive solutions, including a range of VIA Mobile360 systems and devices that use a suite of AI-powered people detection, driver safety system, and sensor fusion technologies; building solutions that consists of access control systems, video intercom systems, doorbell and alarm systems, integrating leading-edge camera, and connectivity technologies; and industrial solutions, including plastic bag stitching inspection, wafer inspection, smoke detection, worker PPE inspection, worker PPE class 2/4 inspection, and pipeline weld inspection. It also provides edge modules, such as VIA SOM-7000, VIA SOM-5000, and VIA SOM-3000; edge boards, such as VIA VAB-5000, VIA VAB-3000, and VIA EPIA-M930; and VIA AI Transforma Model 1 platform; and edge systems comprising the VIA ARTiGO series systems and VIA AMOS. VIA Technologies, Inc. was founded in 1987 and is…

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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.