Oracle (ORCL) Prepaid Assets (2009 - 2026)
Oracle's (ORCL) quarterly Prepaid Assets came in at $7.2 billion in Q3 2026, up 49.58% year-over-year from $4.8 billion in Q3 2025, and up 66.95% on a QoQ basis from $4.3 billion in Q2 2026.
Oracle (ORCL) Prepaid Assets (2009 - 2026) Analysis & Trends
Oracle (ORCL) has 18 years of Prepaid Assets data on file, last reported at $7.2 billion in Q3 2026.
- On a quarterly basis, Prepaid Assets rose 49.58% year-over-year to $7.2 billion in Q3 2026; TTM through Aug 2026 was $7.2 billion, a 49.58% increase from a year earlier, with the FY2026 full-year figure at $4.3 billion, down 11.0% from the prior year.
- Prepaid Assets for Q3 2026 stood at $7.2 billion, up from $4.3 billion in the prior quarter.
- Across five years, Prepaid Assets topped out at $7.2 billion in Q3 2026 and bottomed at $3.6 billion in Q3 2023.
- Historically, Prepaid Assets has averaged $4.3 billion across 5 years, with a median of $4.0 billion in 2024.
- The largest YoY upside for Prepaid Assets was 49.58% in 2026 against a maximum downside of 11.0% in 2026.
- Year by year, Prepaid Assets stood at $4.0 billion in 2022, then decreased by 5.46% to $3.8 billion in 2023, then advanced by 5.8% to $4.0 billion in 2024, then rose by 28.52% to $5.2 billion in 2025, then jumped by 38.74% to $7.2 billion in 2026.
- Per Business Quant data, the three most recent Prepaid Assets figures were $7.2 billion in Q3 2026, $4.3 billion in Q2 2026, and $5.0 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 | 7.16 Bn |
| May 31, 2026 | 4.29 Bn |
| Feb 28, 2026 | 5.02 Bn |
| Nov 30, 2025 | 5.16 Bn |
| Aug 31, 2025 | 4.79 Bn |
| May 31, 2025 | 4.82 Bn |
| Feb 28, 2025 | 4.24 Bn |
| Nov 30, 2024 | 4.02 Bn |
| Aug 31, 2024 | 4.14 Bn |
| May 31, 2024 | 4.02 Bn |
| Feb 29, 2024 | 3.86 Bn |
| Nov 30, 2023 | 3.80 Bn |
| Aug 31, 2023 | 3.56 Bn |
| May 31, 2023 | 3.90 Bn |
| Feb 28, 2023 | 3.71 Bn |
| Nov 30, 2022 | 4.01 Bn |
| Aug 31, 2022 | 3.85 Bn |
| May 31, 2022 | 3.78 Bn |
| Feb 28, 2022 | 3.70 Bn |
| Nov 30, 2021 | 3.78 Bn |
Oracle Prepaid Assets 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=prepaid-assets&ticker=ORCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();