Oracle (ORCL) Total Liabilities (2009 - 2026)
Oracle (ORCL) reported Total Liabilities of $236.06 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 51.5% from $155.78 billion a year earlier and up 7.9% from the prior quarter.
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Analysis
Oracle (ORCL) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Oracle posted Total Liabilities of $218.7 billion, up 48.4% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of 11.8% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $147.39 billion in FY2025 (+11.9%), $131.74 billion in FY2024 (-0.8%), $132.83 billion in FY2023 (+15.4%) and $115.07 billion in FY2022 (-8.1%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Total Liabilities in data going back to fiscal Q4 2009.
- Year over year, Total Liabilities has now increased in each of the last eight quarters, with growth averaging 27.1% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q1 2027 (growth of 51.5%); the low point was fiscal Q4 2022 (a decline of 8.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $218.7 billion (Q4 2026), $206.19 billion (Q3 2026) and $174.53 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 236.06 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 34.68 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | 18.26 Bn |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 6.95 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 236.06 Bn |
| May 31, 2026 | 218.70 Bn |
| Feb 28, 2026 | 206.19 Bn |
| Nov 30, 2025 | 174.53 Bn |
| Aug 31, 2025 | 155.78 Bn |
| May 31, 2025 | 147.39 Bn |
| Feb 28, 2025 | 144.12 Bn |
| Nov 30, 2024 | 134.25 Bn |
| Aug 31, 2024 | 132.95 Bn |
| May 31, 2024 | 131.74 Bn |
| Feb 29, 2024 | 130.90 Bn |
| Nov 30, 2023 | 128.14 Bn |
| Aug 31, 2023 | 133.82 Bn |
| May 31, 2023 | 132.83 Bn |
| Feb 28, 2023 | 133.53 Bn |
| Nov 30, 2022 | 132.25 Bn |
| Aug 31, 2022 | 135.76 Bn |
| May 31, 2022 | 115.07 Bn |
| Feb 28, 2022 | 116.86 Bn |
| Nov 30, 2021 | 116.56 Bn |
API Access
Oracle Total Liabilities 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=total-liabilities&ticker=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();