Intel Debt to Equity Ratio 2010-2024 | INTC
Current and historical debt to equity ratio values for Intel (INTC) over the last 10 years. The debt/equity ratio can be defined as a measure of a company's financial leverage calculated by dividing its long-term debt by stockholders' equity. Intel debt/equity for the three months ending September 30, 2024 was 0.44.
| Intel Debt/Equity Ratio Historical Data |
| Date |
Long Term Debt |
Shareholder's Equity |
Debt to Equity Ratio |
| 2024-09-30 |
$88.68B |
$104.86B |
0.85 |
| 2024-06-30 |
$85.77B |
$120.43B |
0.71 |
| 2024-03-31 |
$81.98B |
$110.76B |
0.74 |
| 2023-12-31 |
$81.61B |
$109.97B |
0.74 |
| 2023-09-30 |
$83.15B |
$105.69B |
0.79 |
| 2023-06-30 |
$81.16B |
$104.47B |
0.78 |
| 2023-03-31 |
$84.90B |
$100.40B |
0.85 |
| 2022-12-31 |
$78.82B |
$103.29B |
0.76 |
| 2022-09-30 |
$74.96B |
$99.89B |
0.75 |
| 2022-06-30 |
$69.20B |
$101.22B |
0.68 |
| 2022-03-31 |
$73.22B |
$103.14B |
0.71 |
| 2021-12-31 |
$73.02B |
$95.39B |
0.77 |
| 2021-09-30 |
$77.88B |
$90.09B |
0.86 |
| 2021-06-30 |
$69.39B |
$85.21B |
0.81 |
| 2021-03-31 |
$70.82B |
$79.81B |
0.89 |
| 2020-12-31 |
$72.05B |
$81.04B |
0.89 |
| 2020-09-30 |
$70.71B |
$74.55B |
0.95 |
| 2020-06-30 |
$70.53B |
$82.01B |
0.86 |
| 2020-03-31 |
$71.36B |
$76.35B |
0.94 |
| 2019-12-31 |
$59.02B |
$77.50B |
0.76 |
| 2019-09-30 |
$59.53B |
$74.24B |
0.80 |
| 2019-06-30 |
$55.81B |
$74.95B |
0.75 |
| 2019-03-31 |
$55.80B |
$73.66B |
0.76 |
| 2018-12-31 |
$53.40B |
$74.56B |
0.72 |
| 2018-09-30 |
$56.76B |
$71.48B |
0.79 |
| 2018-06-30 |
$55.93B |
$70.05B |
0.80 |
| 2018-03-31 |
$58.43B |
$70.17B |
0.83 |
| 2017-12-31 |
$54.23B |
$69.02B |
0.79 |
| 2017-09-30 |
$56.15B |
$70.94B |
0.79 |
| 2017-06-30 |
$53.48B |
$68.63B |
0.78 |
| 2017-03-31 |
$48.80B |
$66.84B |
0.73 |
| 2016-12-31 |
$47.10B |
$66.23B |
0.71 |
| 2016-09-30 |
$49.10B |
$63.12B |
0.78 |
| 2016-06-30 |
$48.46B |
$61.37B |
0.79 |
| 2016-03-31 |
$44.29B |
$61.17B |
0.72 |
| 2015-12-31 |
$40.37B |
$61.09B |
0.66 |
| 2015-09-30 |
$41.46B |
$57.10B |
0.73 |
| 2015-06-30 |
$32.80B |
$57.70B |
0.57 |
| 2015-03-31 |
$34.64B |
$54.92B |
0.63 |
| 2014-12-31 |
$36.04B |
$55.87B |
0.65 |
| 2014-09-30 |
$34.54B |
$56.07B |
0.62 |
| 2014-06-30 |
$32.55B |
$59.25B |
0.55 |
| 2014-03-31 |
$33.89B |
$58.04B |
0.58 |
| 2013-12-31 |
$34.10B |
$58.26B |
0.59 |
| 2013-09-30 |
$35.10B |
$55.45B |
0.63 |
| 2013-06-30 |
$31.82B |
$53.84B |
0.59 |
| 2013-03-31 |
$31.89B |
$51.19B |
0.62 |
| 2012-12-31 |
$33.15B |
$51.20B |
0.65 |
| 2012-09-30 |
$25.17B |
$49.27B |
0.51 |
| 2012-06-30 |
$23.57B |
$48.78B |
0.48 |
| 2012-03-31 |
$25.06B |
$46.76B |
0.54 |
| 2011-12-31 |
$25.21B |
$45.91B |
0.55 |
| 2011-09-30 |
$24.43B |
$46.12B |
0.53 |
| 2011-06-30 |
$17.37B |
$48.72B |
0.36 |
| 2011-03-31 |
$18.20B |
$47.35B |
0.38 |
| 2010-12-31 |
$13.76B |
$49.43B |
0.28 |
| 2010-09-30 |
$12.89B |
$47.70B |
0.27 |
| 2010-06-30 |
$11.85B |
$45.84B |
0.26 |
| 2010-03-31 |
$12.87B |
$42.90B |
0.30 |
| 2009-12-31 |
$11.39B |
$41.70B |
0.27 |
| 2009-09-30 |
$11.96B |
$39.03B |
0.31 |
| 2009-06-30 |
$10.01B |
$39.05B |
0.26 |
| 2009-03-31 |
$9.39B |
$39.06B |
0.24 |
| Sector |
Industry |
Market Cap |
Revenue |
| Computer and Technology |
Semiconductor - General |
$103.728B |
$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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