Intel Net Long-Term Debt 2012-2026 | INTC
Intel annual/quarterly net long-term debt history and growth rate from 2012 to 2026. Net long-term debt can be defined as the net amount of long term debt issued and repaid. This field is either calculated as the sum of the long term debt fields or used if a company does not report debt issued and repaid separately
- Intel net long-term debt for the quarter ending March 31, 2026 was $-3.750B, a 645.85% decline year-over-year.
- Intel net long-term debt for the twelve months ending March 31, 2026 was $-10.500B, a 328.36% decline year-over-year.
- Intel annual net long-term debt for 2025 was $-3.75B, a 645.85% decline from 2024.
- Intel annual net long-term debt for 2024 was $0.687B, a 93.74% decline from 2023.
- Intel annual net long-term debt for 2023 was $10.968B, a 601.28% increase from 2022.
|
Intel Annual Net Long-Term Debt (Millions of US $) |
|
|---|---|
| 2025 | $-3,750 |
| 2024 | $687 |
| 2023 | $10,968 |
| 2022 | $1,564 |
| 2021 | $2,474 |
| 2020 | $5,722 |
| 2019 | $765 |
| 2018 | $-2,603 |
| 2017 | $-364 |
| 2016 | $1,234 |
| 2015 | $9,476 |
| 2014 | N/A |
| 2013 | N/A |
| 2012 | $6,124 |
| 2011 | $4,962 |
| Sector | Industry | Market Cap | Revenue |
|---|---|---|---|
| Computer and Technology | Semiconductor - General | $311.588B | $52.853B |
| 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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