Oracle (ORCL) Other Operating Expenses (2009 - 2026)
Oracle's Other Operating Expenses was $9.68 billion in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 31.3% from $7.37 billion a year earlier and up 6.1% from the prior quarter.
Oracle (ORCL) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Oracle's Other Operating Expenses was $35.32 billion through Aug 31, 2026, up 23.2% year-over-year; for FY2026 (ended May 31, 2026), it was $33.02 billion, up 18.4% from FY2025.
- Other Operating Expenses has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 14.1% (FY2021 to FY2026).
- In earlier fiscal years, Other Operating Expenses was $27.89 billion in FY2025 (+5.5%), $26.43 billion in FY2024 (+1.0%), $26.17 billion in FY2023 (+43.3%) and $18.27 billion in FY2022 (+7.1%).
- The fiscal Q1 2027 figure marks the highest quarterly Other Operating Expenses in data going back to fiscal Q3 2009.
- Compared with a year earlier, Other Operating Expenses has increased for nine straight quarters, with growth averaging 15.6% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q2 2023 (growth of 47.2%); the worst was fiscal Q4 2024 (a decline of 5.4%).
- Per Business Quant data, ORCL's Other Operating Expenses in the three fiscal quarters before Q1 2027 was $9.12 billion (Q4 2026), $8.58 billion (Q3 2026) and $7.95 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 9.68 Bn |
| May 31, 2026 | 9.12 Bn |
| Feb 28, 2026 | 8.58 Bn |
| Nov 30, 2025 | 7.95 Bn |
| Aug 31, 2025 | 7.37 Bn |
| May 31, 2025 | 7.52 Bn |
| Feb 28, 2025 | 6.89 Bn |
| Nov 30, 2024 | 6.90 Bn |
| Aug 31, 2024 | 6.58 Bn |
| May 31, 2024 | 6.57 Bn |
| Feb 29, 2024 | 6.75 Bn |
| Nov 30, 2023 | 6.64 Bn |
| Aug 31, 2023 | 6.41 Bn |
| May 31, 2023 | 6.94 Bn |
| Feb 28, 2023 | 6.51 Bn |
| Nov 30, 2022 | 6.54 Bn |
| Aug 31, 2022 | 6.17 Bn |
| May 31, 2022 | 5.00 Bn |
| Feb 28, 2022 | 4.52 Bn |
| Nov 30, 2021 | 4.44 Bn |
Oracle 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=ORCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "ORCL", "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=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();