Oracle (ORCL) Other Accumulated Expenses (2009 - 2026)
Oracle's Other Accumulated Expenses was $12.38 billion in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 42.3% from $8.7 billion a year earlier and up 8.2% from the prior quarter.
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Analysis
Oracle (ORCL) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Other Accumulated Expenses at Oracle came in at $11.45 billion, up 32.7% from FY2025.
- Other Accumulated Expenses has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 21.2% (FY2021 to FY2026).
- In earlier fiscal years, Other Accumulated Expenses was $8.63 billion in FY2025 (+17.4%), $7.35 billion in FY2024 (+8.1%), $6.8 billion in FY2023 (+64.1%) and $4.14 billion in FY2022 (-5.3%).
- The fiscal Q1 2027 figure marks the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2009.
- Compared with a year earlier, Other Accumulated Expenses has increased for 17 straight quarters, with growth averaging 20.3% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q4 2023 (growth of 64.1%); the worst was fiscal Q2 2022 (a decline of 12.4%).
- Per Business Quant data, ORCL's Other Accumulated Expenses in the three fiscal quarters before Q1 2027 was $11.45 billion (Q4 2026), $9.56 billion (Q3 2026) and $7.68 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 12.38 Bn |
| May 31, 2026 | 11.45 Bn |
| Feb 28, 2026 | 9.56 Bn |
| Nov 30, 2025 | 7.68 Bn |
| Aug 31, 2025 | 8.70 Bn |
| May 31, 2025 | 8.63 Bn |
| Feb 28, 2025 | 8.18 Bn |
| Nov 30, 2024 | 7.13 Bn |
| Aug 31, 2024 | 7.41 Bn |
| May 31, 2024 | 7.35 Bn |
| Feb 29, 2024 | 6.99 Bn |
| Nov 30, 2023 | 6.40 Bn |
| Aug 31, 2023 | 6.89 Bn |
| May 31, 2023 | 6.80 Bn |
| Feb 28, 2023 | 5.52 Bn |
| Nov 30, 2022 | 5.23 Bn |
| Aug 31, 2022 | 4.83 Bn |
| May 31, 2022 | 4.14 Bn |
| Feb 28, 2022 | 3.96 Bn |
| Nov 30, 2021 | 3.41 Bn |
API Access
Oracle Other Accumulated 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-accumulated-expenses&ticker=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();