Intel Stock-Based Compensation 2010-2025 | INTC
Intel annual/quarterly stock-based compensation history and growth rate from 2010 to 2025. Stock-based compensation can be defined as the estimated market value of stock options, warrants and other stock-based compensation given to employees and/or vendors
- Intel stock-based compensation for the quarter ending June 30, 2025 was $1.348B, a 31.19% decline year-over-year.
- Intel stock-based compensation for the twelve months ending June 30, 2025 was $8.201B, a 6.81% decline year-over-year.
- Intel annual stock-based compensation for 2024 was $3.41B, a 5.61% increase from 2023.
- Intel annual stock-based compensation for 2023 was $3.229B, a 3.23% increase from 2022.
- Intel annual stock-based compensation for 2022 was $3.128B, a 53.63% increase from 2021.
Intel Annual Stock-Based Compensation (Millions of US $) |
2024 |
$3,410 |
2023 |
$3,229 |
2022 |
$3,128 |
2021 |
$2,036 |
2020 |
$1,854 |
2019 |
$1,705 |
2018 |
$1,546 |
2017 |
$1,358 |
2016 |
$1,444 |
2015 |
$1,305 |
2014 |
$1,148 |
2013 |
$1,118 |
2012 |
$1,102 |
2011 |
$1,053 |
2010 |
$917 |
2009 |
$889 |
Sector |
Industry |
Market Cap |
Revenue |
Computer and Technology |
Semiconductor - General |
$84.520B |
$53.101B |
Intel Corporation, one of the world's largest semiconductor company and primary supplier of microprocessors and chipsets, is gradually moving into data-centric businesses such as AI and autonomous driving. Intel is a dominant player for microprocessors in both consumer and enterprise markets. Data Center Group, Internet of Things Group, Mobileye, Non-Volatile memory solutions group and Programmable solutions Group and All Other business units form the crux of Intel's data-centric business model. DCG segment deals with servers, workstations and other products for cloud, enterprise, and communication infrastructure market. IOTG offers high-performance compute solutions and embedded applications. PSG segment offers programmable semiconductors, primarily FPGAs and structured ASICs. Mobileye is engaged in developing computer vision and machine learning-based sensing, data analysis, localization, mapping, and driving policy technology for ADAS and autonomous driving.
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