Oracle (ORCL) Long-Term Debt Repayments (2009 - 2026)
Oracle's Long-Term Debt Repayments was $4.2 billion in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 299.4% from $1.05 billion a year earlier but down 11.5% from the prior quarter.
Powered by 
Analysis
Oracle (ORCL) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Oracle's Long-Term Debt Repayments was $10.09 billion through Aug 31, 2026, up 8.9% year-over-year; for FY2026 (ended May 31, 2026), it came in at $6.94 billion, down 56.2% from FY2025.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 21.4% (FY2021 to FY2026).
- In earlier fiscal years, Long-Term Debt Repayments was $15.84 billion in FY2025 (+352.6%), $3.5 billion in FY2024 (-83.4%), $21.05 billion in FY2023 (+155.2%) and $8.25 billion in FY2022 (+213.6%).
- Quarterly Long-Term Debt Repayments has moved between $71 million (fiscal Q3 2025) and $10.81 billion (fiscal Q2 2023) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in 1 of the last six quarters, with growth averaging 21.0%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q1 2025 (growth of 663.0%); the worst was fiscal Q1 2026 (a decline of 86.2%).
- Per Business Quant data, ORCL's Long-Term Debt Repayments in the three fiscal quarters before Q1 2027 was $4.75 billion (Q4 2026), $71 million (Q3 2026) and $1.07 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 4.20 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -1.86 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 176.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 300,000.00 |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | - |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 1.38 Bn |
| 10 | Workday | 45.93 Bn | 22.06 Bn | 2.00 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 4.20 Bn |
| May 31, 2026 | 4.75 Bn |
| Feb 28, 2026 | 71.00 Mn |
| Nov 30, 2025 | 1.07 Bn |
| Aug 31, 2025 | 1.05 Bn |
| May 31, 2025 | 6.07 Bn |
| Feb 28, 2025 | 71.00 Mn |
| Nov 30, 2024 | 2.07 Bn |
| Aug 31, 2024 | 7.63 Bn |
| Nov 30, 2023 | 2.50 Bn |
| Aug 31, 2023 | 1.00 Bn |
| Feb 28, 2023 | 4.36 Bn |
| Nov 30, 2022 | 10.81 Bn |
| Aug 31, 2022 | 5.88 Bn |
| May 31, 2022 | 2.50 Bn |
| Nov 30, 2021 | 4.25 Bn |
| Aug 31, 2021 | 1.50 Bn |
| Feb 28, 2021 | 1.63 Bn |
| Aug 31, 2020 | 1.00 Bn |
| Nov 30, 2019 | 2.75 Bn |
API Access
Oracle Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();