ViTrox Corporation (0097) Fair Value & Analysis
Technology · MY · Market cap 13.6B MYR
Analysis
ViTrox Corporation (0097) currently trades at 7.20 MYR, while our model-based Fair Value estimate is 1.41 MYR — implying the stock looks roughly 80.4% 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
ViTrox Corporation Berhad, an investment holding company, designs, manufactures, and sells automated vision inspection equipment and system-on-chip embedded electronics devices for the semiconductor and electronics packaging industries worldwide. The company offers tray-based vision handlers for final inspection on various IC packages handled in tray; post seal vision inspection handlers for reel to reel inspection; wafer vision inspection handlers that offers an advanced solution for 2D surface defect inspections, measurements, and multiple handling mechanisms; vision inspection systems; die sorting & vision inspection handler; and automated vision inspection system and modules. It also provides electronic assembly products, including advanced 3D solder paste inspection, advanced optical inspection, and advanced 3D X-ray inspection, as well as advanced robotic vision systems; electronics communication systems; and offers integrated industrial embedded solutions, such as I/O interfa…
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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.