Intel (INTC) Change in Accured Expenses (2009 - 2026)
Intel's Change in Accured Expenses was $803 million in Q2 2026, down 54.5% from $1.76 billion a year earlier.
Intel (INTC) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Intel's Change in Accured Expenses was -$606 million through Jun 27, 2026; for FY2025, it came in at $788 million.
- Change in Accured Expenses shows a five-year compound annual growth rate of 17.8% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was -$218 million in FY2024, -$614 million in FY2023, -$1.53 billion in FY2022 and $515 million in FY2021 (+48.0%).
- Quarterly Change in Accured Expenses has moved between -$1.88 billion (Q1 2022) and $2.4 billion (Q3 2024) over five years.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q3 2023 (growth of 131.5%); the worst was Q3 2022 (a decline of 91.1%).
- Per Business Quant data, INTC's Change in Accured Expenses in the three quarters before Q2 2026 was -$1.18 billion (Q1 2026), $247 million (Q4 2025) and -$481 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 252.00 Mn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 372.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 2.40 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | -652.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 803.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 633.00 Mn |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn | 3.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 803.00 Mn |
| Mar 28, 2026 | -1.18 Bn |
| Dec 27, 2025 | 247.00 Mn |
| Sep 27, 2025 | -481.00 Mn |
| Jun 28, 2025 | 1.76 Bn |
| Mar 29, 2025 | -741.00 Mn |
| Dec 28, 2024 | -1.60 Bn |
| Sep 28, 2024 | 2.40 Bn |
| Jun 29, 2024 | 145.00 Mn |
| Mar 30, 2024 | -1.16 Bn |
| Dec 30, 2023 | 557.00 Mn |
| Sep 30, 2023 | 169.00 Mn |
| Jul 1, 2023 | 220.00 Mn |
| Apr 1, 2023 | -1.56 Bn |
| Dec 31, 2022 | 379.00 Mn |
| Oct 1, 2022 | 73.00 Mn |
| Jul 2, 2022 | -101.00 Mn |
| Apr 2, 2022 | -1.88 Bn |
| Dec 25, 2021 | 531.00 Mn |
| Sep 25, 2021 | 820.00 Mn |
Intel Change in Accured Expenses 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=change-in-accured-expenses&ticker=INTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=INTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();