Oracle (ORCL) Receivables (2009 - 2026)
Oracle's Receivables was $11.39 billion in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 28.8% from $8.84 billion a year earlier and up 9.7% from the prior quarter.
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Analysis
Oracle (ORCL) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Receivables at Oracle came in at $10.39 billion, up 10.3% from FY2025.
- Receivables has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 10.8% (FY2021 to FY2026).
- In earlier fiscal years, Receivables was $9.41 billion in FY2025 (+8.3%), $8.7 billion in FY2024 (+12.7%), $7.71 billion in FY2023 (+14.4%) and $6.74 billion in FY2022 (+8.7%).
- The fiscal Q1 2027 figure marks the highest quarterly Receivables in data going back to fiscal Q4 2009.
- Compared with a year earlier, Receivables has increased for 18 straight quarters, with growth averaging 17.1% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was fiscal Q2 2023 (growth of 38.9%); the worst was fiscal Q3 2022 (a decline of 1.1%).
- Per Business Quant data, ORCL's Receivables in the three fiscal quarters before Q1 2027 was $10.39 billion (Q4 2026), $10.72 billion (Q3 2026) and $9.44 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 388.11 Bn | 352.94 Bn | 1.93 Bn | 1.90 Bn |
| 2 | Oracle | 358.47 Bn | 230.60 Bn | - | 11.39 Bn |
| 3 | Sap Se | 283.77 Bn | 211.17 Bn | 8.64 Bn | - |
| 4 | Salesforce | 184.64 Bn | 140.51 Bn | 8.70 Bn | 6.32 Bn |
| 5 | Automatic Data Processing | 123.40 Bn | 110.20 Bn | 2.53 Bn | 3.52 Bn |
| 6 | ServiceNow | 110.58 Bn | 89.85 Bn | 2.90 Bn | 2.83 Bn |
| 7 | Intuit | 99.71 Bn | 79.06 Bn | 3.44 Bn | 625.00 Mn |
| 8 | Relx | 75.94 Bn | 75.04 Bn | - | 3.10 Bn |
| 9 | Strategy | 55.50 Bn | 42.64 Bn | 89.63 Mn | 147.13 Mn |
| 10 | Thomson Reuters | 52.67 Bn | 48.64 Bn | - | -11.52 Bn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();