Intel Cash Flow from Operating Activities 2010-2024 | INTC
Intel annual/quarterly cash flow from operating activities history and growth rate from 2010 to 2024. Cash flow from operating activities can be defined as a company's cash flows from operations.
- Intel cash flow from operating activities for the quarter ending March 31, 2024 was $-1.223B, a 31.48% decline year-over-year.
- Intel cash flow from operating activities for the twelve months ending March 31, 2024 was $18.118B, a 35.47% decline year-over-year.
- Intel annual cash flow from operating activities for 2023 was $11.471B, a 25.67% decline from 2022.
- Intel annual cash flow from operating activities for 2022 was $15.433B, a 47.61% decline from 2021.
- Intel annual cash flow from operating activities for 2021 was $29.456B, a 17.87% decline from 2020.
Intel Annual Cash Flow Ops (Millions of US $) |
2023 |
$11,471 |
2022 |
$15,433 |
2021 |
$29,456 |
2020 |
$35,864 |
2019 |
$33,145 |
2018 |
$29,432 |
2017 |
$22,110 |
2016 |
$21,808 |
2015 |
$19,018 |
2014 |
$20,418 |
2013 |
$20,776 |
2012 |
$18,884 |
2011 |
$20,963 |
2010 |
$16,692 |
2009 |
$11,170 |
Sector |
Industry |
Market Cap |
Revenue |
Computer and Technology |
Semiconductor - General |
$135.500B |
$54.228B |
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.
|