Oracle (ORCL) Accumulated Expenses (2009 - 2026)
Oracle's (ORCL) quarterly Accumulated Expenses came in at $1.8 billion in Q3 2026, down 1.9% year-over-year from $1.8 billion in Q3 2025, and down 20.9% on a QoQ basis from $2.2 billion in Q2 2026.
Oracle (ORCL) Accumulated Expenses (2009 - 2026) Analysis & Trends
Oracle (ORCL) has 18 years of Accumulated Expenses data on file, last reported at $1.8 billion in Q3 2026.
- On a quarterly basis, Accumulated Expenses fell 1.9% year-over-year to $1.8 billion in Q3 2026; TTM through Aug 2026 was $1.8 billion, a 1.9% decrease from a year earlier, with the FY2026 full-year figure at $2.2 billion, down 0.8% from the prior year.
- Accumulated Expenses for Q3 2026 stood at $1.8 billion, down from $2.2 billion in the prior quarter.
- Across five years, Accumulated Expenses topped out at $2.2 billion in Q2 2025 and bottomed at $1.6 billion in Q1 2022.
- Historically, Accumulated Expenses has averaged $1.9 billion across 5 years, with a median of $1.8 billion in 2023.
- The widest annual swing landed in 2022, when Accumulated Expenses soared 33.2%; it then dropped 7.15% in 2023.
- Year by year, Accumulated Expenses stood at $1.8 billion in 2022, then slipped by 4.16% to $1.7 billion in 2023, then slipped by 3.11% to $1.7 billion in 2024, then climbed by 17.79% to $1.9 billion in 2025, then declined by 9.6% to $1.8 billion in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $1.8 billion in Q3 2026, $2.2 billion in Q2 2026, and $1.9 billion in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.76 Bn |
| May 31, 2026 | 2.23 Bn |
| Feb 28, 2026 | 1.94 Bn |
| Nov 30, 2025 | 1.95 Bn |
| Aug 31, 2025 | 1.79 Bn |
| May 31, 2025 | 2.24 Bn |
| Feb 28, 2025 | 1.84 Bn |
| Nov 30, 2024 | 1.65 Bn |
| Aug 31, 2024 | 1.77 Bn |
| May 31, 2024 | 1.92 Bn |
| Feb 29, 2024 | 1.80 Bn |
| Nov 30, 2023 | 1.71 Bn |
| Aug 31, 2023 | 1.82 Bn |
| May 31, 2023 | 2.05 Bn |
| Feb 28, 2023 | 1.74 Bn |
| Nov 30, 2022 | 1.78 Bn |
| Aug 31, 2022 | 1.96 Bn |
| May 31, 2022 | 1.94 Bn |
| Feb 28, 2022 | 1.63 Bn |
| Nov 30, 2021 | 1.50 Bn |
Oracle 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=accumulated-expenses&ticker=ORCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();