Intel Cash Flow from Operating Activities 2010-2025 | INTC

Intel annual/quarterly cash flow from operating activities history and growth rate from 2010 to 2025. 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 June 30, 2025 was $2.863B, a 167.82% increase year-over-year.
  • Intel cash flow from operating activities for the twelve months ending June 30, 2025 was $17.087B, a 5.93% decline year-over-year.
  • Intel annual cash flow from operating activities for 2024 was $8.288B, a 27.75% decline from 2023.
  • 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 Ops
(Millions of US $)
2024 $8,288
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 $107.499B $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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