Oracle (ORCL) Operating Expenses (2009 - 2026)
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Analysis
Oracle (ORCL) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 374.28 Bn | 339.11 Bn | 1.93 Bn | 845.28 Mn |
| 2 | Oracle | 340.78 Bn | 212.91 Bn | - | 12.62 Bn |
| 3 | Sap Se | 282.64 Bn | 210.04 Bn | 8.64 Bn | 8.45 Bn |
| 4 | Salesforce | 182.43 Bn | 138.31 Bn | 8.70 Bn | 6.37 Bn |
| 5 | Automatic Data Processing | 122.76 Bn | 109.55 Bn | 2.53 Bn | 4.18 Bn |
| 6 | ServiceNow | 108.10 Bn | 87.37 Bn | 2.90 Bn | 2.51 Bn |
| 7 | Intuit | 97.14 Bn | 76.49 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 76.21 Bn | 75.30 Bn | - | - |
| 9 | Thomson Reuters | 52.25 Bn | 48.22 Bn | - | 1.18 Bn |
| 10 | Strategy | 51.65 Bn | 38.79 Bn | 89.63 Mn | -20.82 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();