Intel (INTC) Other Operating Expenses (2009 - 2019)
Intel (INTC) posted Other Operating Expenses of $3.37 billion for Q2 2026, up 3.0% from $3.27 billion a year earlier.
Intel (INTC) Other Operating Expenses (2009 - 2019) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Other Operating Expenses at Intel was $9.17 billion, down 19.7% year-over-year; for FY2025, it was $13.25 billion, up 2.6% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Intel's Other Operating Expenses was $12.92 billion in FY2024 (-19.3%), $16 billion in FY2023 (-7.1%), $17.23 billion in FY2022 (+13.4%) and $15.19 billion in FY2021 (+12.1%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses since Q1 2025.
- On a year-over-year basis, Other Operating Expenses increased in three of the last seven quarters, with growth averaging 37.1%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q3 2025, with growth of 393.1%; the weakest was Q3 2024, with a decline of 83.0%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was -$590 million (Q1 2026), $3.16 billion (Q4 2025) and $3.24 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2019 | -2.56 Bn |
| Sep 28, 2019 | -2.27 Bn |
| Jun 29, 2019 | -2.15 Bn |
| Mar 30, 2019 | -2.23 Bn |
| Dec 29, 2018 | -2.25 Bn |
| Sep 29, 2018 | -1.83 Bn |
| Jun 30, 2018 | -1.68 Bn |
| Mar 31, 2018 | -1.76 Bn |
| Dec 30, 2017 | -1.71 Bn |
| Sep 30, 2017 | -1.64 Bn |
| Jul 1, 2017 | -1.64 Bn |
| Apr 1, 2017 | -1.59 Bn |
| Dec 31, 2016 | -1.54 Bn |
| Oct 1, 2016 | 74.00 Mn |
| Jul 2, 2016 | 89.00 Mn |
| Apr 2, 2016 | 90.00 Mn |
| Dec 26, 2015 | 67.00 Mn |
| Sep 26, 2015 | 68.00 Mn |
| Jun 27, 2015 | 68.00 Mn |
| Mar 28, 2015 | 62.00 Mn |
Intel Other 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=other-operating-expenses&ticker=INTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=INTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();