Intel (INTC) Total Non-Current Liabilities (2009 - 2026)
Intel (INTC) recorded Total Non-Current Liabilities of $84.22 billion in Q2 2026, up 6.6% from $78.99 billion a year earlier and up 20.5% from the prior quarter.
Intel (INTC) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Intel reported Total Non-Current Liabilities of $75.66 billion, down 7.7% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $81.95 billion in FY2024 (+9.2%), $75.03 billion in FY2023 (+7.4%), $69.84 billion in FY2022 (+9.7%) and $63.64 billion in FY2021 (-0.3%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Non-Current Liabilities rose in four of the last eight quarters, with growth averaging 0.2%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 21.8% in Q2 2023, against a decline of 9.3% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $69.91 billion (Q1 2026), $75.66 billion (Q4 2025) and $76.35 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | 16.81 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | 32.74 Bn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 80.37 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | 78.01 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 23.70 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 45.85 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | 7.86 Bn |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 83.71 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 15.60 Bn |
| 10 | Lam Research | 277.80 Bn | 253.85 Bn | 4.30 Bn | 11.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 83.71 Bn |
| Jun 27, 2026 | 84.22 Bn |
| Mar 28, 2026 | 69.91 Bn |
| Dec 27, 2025 | 75.66 Bn |
| Sep 27, 2025 | 76.35 Bn |
| Jun 28, 2025 | 78.99 Bn |
| Mar 29, 2025 | 77.09 Bn |
| Dec 28, 2024 | 81.95 Bn |
| Sep 28, 2024 | 81.63 Bn |
| Jun 29, 2024 | 80.36 Bn |
| Mar 30, 2024 | 75.08 Bn |
| Dec 30, 2023 | 75.03 Bn |
| Sep 30, 2023 | 75.21 Bn |
| Jul 1, 2023 | 73.52 Bn |
| Apr 1, 2023 | 76.23 Bn |
| Dec 31, 2022 | 69.84 Bn |
| Oct 1, 2022 | 65.41 Bn |
| Jul 2, 2022 | 60.34 Bn |
| Apr 2, 2022 | 63.66 Bn |
| Dec 25, 2021 | 63.64 Bn |
Intel Total Non-Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=INTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "INTC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=INTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();