Intel ROE 2010-2024 | INTC
Current and historical return on equity (ROE) values for Intel (INTC) over the last 10 years. Return on equity can be defined as the amount of net income returned as a percentage of shareholders equity. Return on equity measures a corporation's profitability by revealing how much profit a company generates with the money shareholders have invested.
| Intel ROE - Return on Equity Historical Data |
| Date |
TTM Net Income |
Shareholder's Equity |
Return on Equity |
| 2024-09-30 |
$-15.96B |
$104.86B |
-14.31% |
| 2024-06-30 |
$0.98B |
$120.43B |
0.87% |
| 2024-03-31 |
$4.07B |
$110.76B |
3.77% |
| 2023-12-31 |
$1.69B |
$109.97B |
1.61% |
| 2023-09-30 |
$-1.64B |
$105.69B |
-1.59% |
| 2023-06-30 |
$-0.92B |
$104.47B |
-0.90% |
| 2023-03-31 |
$-2.86B |
$100.40B |
-2.82% |
| 2022-12-31 |
$8.01B |
$103.29B |
7.87% |
| 2022-09-30 |
$13.30B |
$99.89B |
13.31% |
| 2022-06-30 |
$19.11B |
$101.22B |
19.60% |
| 2022-03-31 |
$24.62B |
$103.14B |
26.34% |
| 2021-12-31 |
$19.87B |
$95.39B |
22.67% |
| 2021-09-30 |
$21.10B |
$90.09B |
25.11% |
| 2021-06-30 |
$18.56B |
$85.21B |
23.15% |
| 2021-03-31 |
$18.60B |
$79.81B |
23.44% |
| 2020-12-31 |
$20.90B |
$81.04B |
26.63% |
| 2020-09-30 |
$21.95B |
$74.55B |
28.28% |
| 2020-06-30 |
$23.66B |
$82.01B |
30.52% |
| 2020-03-31 |
$22.74B |
$76.35B |
30.01% |
| 2019-12-31 |
$21.05B |
$77.50B |
28.03% |
| 2019-09-30 |
$19.34B |
$74.24B |
26.01% |
| 2019-06-30 |
$19.75B |
$74.95B |
26.81% |
| 2019-03-31 |
$20.57B |
$73.66B |
28.40% |
| 2018-12-31 |
$21.05B |
$74.56B |
29.42% |
| 2018-09-30 |
$15.17B |
$71.48B |
21.62% |
| 2018-06-30 |
$13.29B |
$70.05B |
18.97% |
| 2018-03-31 |
$11.09B |
$70.17B |
15.92% |
| 2017-12-31 |
$9.60B |
$69.02B |
13.94% |
| 2017-09-30 |
$13.85B |
$70.94B |
20.32% |
| 2017-06-30 |
$12.71B |
$68.63B |
19.20% |
| 2017-03-31 |
$11.23B |
$66.84B |
17.45% |
| 2016-12-31 |
$10.32B |
$66.23B |
16.38% |
| 2016-09-30 |
$10.37B |
$63.12B |
16.81% |
| 2016-06-30 |
$10.10B |
$61.37B |
16.78% |
| 2016-03-31 |
$11.47B |
$61.17B |
19.36% |
| 2015-12-31 |
$11.42B |
$61.09B |
19.79% |
| 2015-09-30 |
$11.47B |
$57.10B |
20.34% |
| 2015-06-30 |
$11.68B |
$57.70B |
20.80% |
| 2015-03-31 |
$11.77B |
$54.92B |
20.81% |
| 2014-12-31 |
$11.70B |
$55.87B |
20.42% |
| 2014-09-30 |
$10.67B |
$56.07B |
18.42% |
| 2014-06-30 |
$10.30B |
$59.25B |
17.84% |
| 2014-03-31 |
$9.51B |
$58.04B |
16.85% |
| 2013-12-31 |
$9.62B |
$58.26B |
17.59% |
| 2013-09-30 |
$9.46B |
$55.45B |
17.88% |
| 2013-06-30 |
$9.49B |
$53.84B |
18.46% |
| 2013-03-31 |
$10.31B |
$51.19B |
20.58% |
| 2012-12-31 |
$11.01B |
$51.20B |
22.46% |
| 2012-09-30 |
$11.90B |
$49.27B |
24.95% |
| 2012-06-30 |
$12.39B |
$48.78B |
26.43% |
| 2012-03-31 |
$12.52B |
$46.76B |
26.71% |
| 2011-12-31 |
$12.94B |
$45.91B |
27.52% |
| 2011-09-30 |
$12.76B |
$46.12B |
26.64% |
| 2011-06-30 |
$12.25B |
$48.72B |
25.36% |
| 2011-03-31 |
$12.18B |
$47.35B |
25.60% |
| 2010-12-31 |
$11.46B |
$49.43B |
24.67% |
| 2010-09-30 |
$10.57B |
$47.70B |
23.73% |
| 2010-06-30 |
$9.47B |
$45.84B |
22.34% |
| 2010-03-31 |
$6.18B |
$42.90B |
15.20% |
| 2009-12-31 |
$4.37B |
$41.70B |
11.00% |
| Sector |
Industry |
Market Cap |
Revenue |
| Computer and Technology |
Semiconductor - General |
$104.375B |
$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.
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