Oracle (ORCL) Receivables (2009 - 2026)
Oracle's (ORCL) quarterly Receivables came in at $11.4 billion in Q3 2026, up 28.85% year-over-year from $8.8 billion in Q3 2025, and up 9.72% on a QoQ basis from $10.4 billion in Q2 2026.
Oracle (ORCL) Receivables (2009 - 2026) Analysis & Trends
Oracle (ORCL) has 18 years of Receivables data on file, last reported at $11.4 billion in Q3 2026.
- On a quarterly basis, Receivables rose 28.85% year-over-year to $11.4 billion in Q3 2026; TTM through Aug 2026 was $11.4 billion, a 28.85% increase from a year earlier, with the FY2026 full-year figure at $10.4 billion, up 10.33% from the prior year.
- Receivables for Q3 2026 stood at $11.4 billion, up from $10.4 billion in the prior quarter.
- Across five years, Receivables topped out at $11.4 billion in Q3 2026 and bottomed at $4.6 billion in Q1 2022.
- Historically, Receivables has averaged $8.0 billion across 5 years, with a median of $8.0 billion in 2024.
- The largest YoY upside for Receivables was 38.88% in 2022 against a maximum downside of 1.06% in 2022.
- Year by year, Receivables stood at $6.2 billion in 2022, then grew by 9.8% to $6.8 billion in 2023, then advanced by 20.18% to $8.2 billion in 2024, then rose by 15.45% to $9.4 billion in 2025, then gained by 20.7% to $11.4 billion in 2026.
- Per Business Quant data, the three most recent Receivables figures were $11.4 billion in Q3 2026, $10.4 billion in Q2 2026, and $10.7 billion in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 1.50 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 11.39 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 8.22 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 6.32 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 2.80 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 3.52 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 625.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | 3.14 Bn |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 140.04 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 2.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 11.39 Bn |
| May 31, 2026 | 10.39 Bn |
| Feb 28, 2026 | 10.72 Bn |
| Nov 30, 2025 | 9.44 Bn |
| Aug 31, 2025 | 8.84 Bn |
| May 31, 2025 | 9.41 Bn |
| Feb 28, 2025 | 8.05 Bn |
| Nov 30, 2024 | 8.18 Bn |
| Aug 31, 2024 | 8.02 Bn |
| May 31, 2024 | 8.70 Bn |
| Feb 29, 2024 | 7.30 Bn |
| Nov 30, 2023 | 6.80 Bn |
| Aug 31, 2023 | 6.52 Bn |
| May 31, 2023 | 7.71 Bn |
| Feb 28, 2023 | 6.21 Bn |
| Nov 30, 2022 | 6.20 Bn |
| Aug 31, 2022 | 5.94 Bn |
| May 31, 2022 | 6.74 Bn |
| Feb 28, 2022 | 4.59 Bn |
| Nov 30, 2021 | 4.46 Bn |
Oracle Receivables 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=receivables&ticker=ORCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();