Oracle (ORCL) Operating Expenses (2009 - 2026)
Oracle's Operating Expenses came in at $12.62 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 18.5% from $10.65 billion a year earlier but down 3.3% from the prior quarter.
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Analysis
Oracle (ORCL) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Oracle reported Operating Expenses of $48.72 billion, up 18.7% year-over-year; for FY2026 (ended May 31, 2026), it came in at $46.75 billion, up 17.7% from FY2025.
- Operating Expenses has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 13.1% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $39.72 billion in FY2025 (+5.6%), $37.61 billion in FY2024 (+2.0%), $36.86 billion in FY2023 (+17.0%) and $31.51 billion in FY2022 (+24.7%).
- The five-year range for quarterly Operating Expenses is $6.69 billion (fiscal Q3 2022) to $13.05 billion (fiscal Q4 2026).
- Year-over-year, Operating Expenses has increased for nine consecutive quarters, with growth averaging 13.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2022 (growth of 79.9%), and the weakest in fiscal Q2 2023 (a decline of 17.7%).
- Business Quant data shows ORCL's Operating Expenses at $13.05 billion (Q4 2026), $11.73 billion (Q3 2026) and $11.33 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 466.81 Bn | 435.76 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 391.66 Bn | 263.79 Bn | - | 12.62 Bn |
| 3 | Sap Se | 264.19 Bn | 191.97 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 198.99 Bn | 154.86 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 150.79 Bn | 129.25 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 115.74 Bn | 97.87 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 90.06 Bn | 69.41 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 71.78 Bn | 70.87 Bn | - | - |
| 9 | Strategy | 51.10 Bn | 44.09 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Thomson Reuters | 49.31 Bn | 46.10 Bn | - | -1.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 12.62 Bn |
| May 31, 2026 | 13.05 Bn |
| Feb 28, 2026 | 11.73 Bn |
| Nov 30, 2025 | 11.33 Bn |
| Aug 31, 2025 | 10.65 Bn |
| May 31, 2025 | 10.79 Bn |
| Feb 28, 2025 | 9.77 Bn |
| Nov 30, 2024 | 9.84 Bn |
| Aug 31, 2024 | 9.32 Bn |
| May 31, 2024 | 9.60 Bn |
| Feb 29, 2024 | 9.53 Bn |
| Nov 30, 2023 | 9.32 Bn |
| Aug 31, 2023 | 9.16 Bn |
| May 31, 2023 | 9.70 Bn |
| Feb 28, 2023 | 9.14 Bn |
| Nov 30, 2022 | 9.20 Bn |
| Aug 31, 2022 | 8.82 Bn |
| May 31, 2022 | 7.34 Bn |
| Feb 28, 2022 | 6.69 Bn |
| Nov 30, 2021 | 11.18 Bn |
API Access
Oracle 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=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();