Intel (INTC) Operating Expenses (2009 - 2026)
Intel's Operating Expenses was $4.71 billion in Q2 2026, down 29.8% from $6.72 billion a year earlier and down 44.4% from the prior quarter.
Powered by 
Analysis
Intel (INTC) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Intel's Operating Expenses was $22.09 billion through Jun 27, 2026, down 20.9% year-over-year; for FY2025, it was $20.59 billion, down 29.1% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $29.02 billion in FY2024 (+34.3%), $21.62 billion in FY2023 (-11.9%), $24.53 billion in FY2022 (+0.7%) and $24.36 billion in FY2021 (+22.2%).
- Quarterly Operating Expenses has moved between $4.36 billion (Q4 2025) and $11.05 billion (Q3 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with growth averaging 6.0%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2024 (growth of 83.4%); the worst was Q3 2025 (a decline of 59.0%).
- Per Business Quant data, INTC's Operating Expenses in the three quarters before Q2 2026 was $8.48 billion (Q1 2026), $4.36 billion (Q4 2025) and $4.54 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn | -1.16 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 4.71 Bn |
| Mar 28, 2026 | 8.48 Bn |
| Dec 27, 2025 | 4.36 Bn |
| Sep 27, 2025 | 4.54 Bn |
| Jun 28, 2025 | 6.72 Bn |
| Mar 29, 2025 | 4.97 Bn |
| Dec 28, 2024 | 5.17 Bn |
| Sep 28, 2024 | 11.05 Bn |
| Jun 29, 2024 | 6.51 Bn |
| Mar 30, 2024 | 6.29 Bn |
| Dec 30, 2023 | 4.46 Bn |
| Sep 30, 2023 | 6.03 Bn |
| Jul 1, 2023 | 5.65 Bn |
| Apr 1, 2023 | 5.48 Bn |
| Dec 31, 2022 | 6.63 Bn |
| Oct 1, 2022 | 6.71 Bn |
| Jul 2, 2022 | 6.29 Bn |
| Apr 2, 2022 | 4.90 Bn |
| Dec 25, 2021 | 6.02 Bn |
| Sep 25, 2021 | 5.52 Bn |
API Access
Intel Operating 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=operating-expenses&ticker=INTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=INTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();