Intel (INTC) Total Liabilities (2009 - 2026)
Intel's Total Liabilities came in at $99.3 billion for Q2 2026, up 14.4% from $86.77 billion a year earlier and up 23.6% from the prior quarter.
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Analysis
Intel (INTC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Intel's Total Liabilities was $85.07 billion, down 7.0% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $91.45 billion in FY2024 (+12.1%), $81.61 billion in FY2023 (+3.5%), $78.82 billion in FY2022 (+7.9%) and $73.02 billion in FY2021 (+1.3%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q2 2009.
- Year-over-year, Total Liabilities increased in five of the last eight quarters, with growth averaging 3.1%.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2023 (growth of 17.3%), and the weakest in Q4 2025 (a decline of 7.0%).
- Business Quant data shows INTC's Total Liabilities at $80.34 billion (Q1 2026), $85.07 billion (Q4 2025) and $87.78 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 93.12 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 33.39 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 36.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn | 2.57 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 99.30 Bn |
| Mar 28, 2026 | 80.34 Bn |
| Dec 27, 2025 | 85.07 Bn |
| Sep 27, 2025 | 87.78 Bn |
| Jun 28, 2025 | 86.77 Bn |
| Mar 29, 2025 | 85.83 Bn |
| Dec 28, 2024 | 91.45 Bn |
| Sep 28, 2024 | 88.68 Bn |
| Jun 29, 2024 | 85.77 Bn |
| Mar 30, 2024 | 81.98 Bn |
| Dec 30, 2023 | 81.61 Bn |
| Sep 30, 2023 | 83.15 Bn |
| Jul 1, 2023 | 81.16 Bn |
| Apr 1, 2023 | 84.90 Bn |
| Dec 31, 2022 | 78.82 Bn |
| Oct 1, 2022 | 74.96 Bn |
| Jul 2, 2022 | 69.20 Bn |
| Apr 2, 2022 | 73.22 Bn |
| Dec 25, 2021 | 73.02 Bn |
| Sep 25, 2021 | 77.88 Bn |
API Access
Intel Total 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-liabilities&ticker=INTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=INTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();