Oracle (ORCL) Other Operating Expenses (2009 - 2026)
Oracle (ORCL) posted Other Operating Expenses of $12.08 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 22.5% from $9.86 billion a year earlier and up 2.9% from the prior quarter.
Oracle (ORCL) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, Other Operating Expenses at Oracle was $45.5 billion, up 17.5% year-over-year; for FY2026 (ended May 31, 2026), it was $43.3 billion, up 14.7% from FY2025.
- Annual Other Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 12.9% (FY2021 to FY2026).
- In prior fiscal years, Oracle's Other Operating Expenses was $37.75 billion in FY2025 (+6.8%), $35.34 billion in FY2024 (+1.6%), $34.79 billion in FY2023 (+36.5%) and $25.48 billion in FY2022 (+8.1%).
- The fiscal Q1 2027 figure stands as the highest quarterly Other Operating Expenses in data going back to fiscal Q3 2009.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last nine quarters, with growth averaging 13.2% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q2 2023, with growth of 40.4%; the weakest was fiscal Q4 2024, with a decline of 4.1%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $11.73 billion (Q4 2026), $11.18 billion (Q3 2026) and $10.51 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 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();