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Xilinx, Inc. (XLNX)

NasdaqGS - NasdaqGS Real Time Price. Currency in USD
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127.84-0.66 (-0.51%)
As of 12:56PM EDT. Market open.
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Momentum

Momentum

Previous Close128.50
Open128.76
Bid127.94 x 1100
Ask128.00 x 1100
Day's Range126.67 - 128.92
52 Week Range88.08 - 154.93
Volume365,649
Avg. Volume2,300,976
Market Cap31.428B
Beta (5Y Monthly)1.01
PE Ratio (TTM)48.79
EPS (TTM)2.62
Earnings DateJun 28, 2021 - Jul 02, 2021
Forward Dividend & YieldN/A (N/A)
Ex-Dividend DateNov 09, 2020
1y Target Est133.43
Fair Value is the appropriate price for the shares of a company, based on its earnings and growth rate also interpreted as when P/E Ratio = Growth Rate. Estimated return represents the projected annual return you might expect after purchasing shares in the company and holding them over the default time horizon of 5 years, based on the EPS growth rate that we have projected.
Fair Value
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-13% Est. Return
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  • Xilinx Snaps up Silexica for Undisclosed Fee
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    Xilinx Snaps up Silexica for Undisclosed Fee

    Programmable devices and related technologies provider Xilinx Inc. (XLNX) has acquired Silexca, a privately-held provider of C/C++ programming and analysis tools. The terms of the transaction remained undisclosed. Silexica’s solutions enable developers to build applications on FPGAs and Adaptive SoCs. Xilinx will be integrating these tools and solutions with the Xilinx Vitis platform which will reduce the learning curve for software developers. Salil Raje, Executive Vice President and General Ma

  • Xilinx Acquires Silexica to Broaden its Developer Base
    Business Wire

    Xilinx Acquires Silexica to Broaden its Developer Base

    Xilinx announced that it has acquired Silexica, a privately-held provider of C/C++ programming and analysis tools.

  • Xilinx Extends Edge Compute Leadership with World’s Highest AI Performance-per-Watt
    Business Wire

    Xilinx Extends Edge Compute Leadership with World’s Highest AI Performance-per-Watt

    Xilinx introduced the Versal™ AI Edge series, designed to enable AI innovation from the edge to the endpoint.