Oracle (ORCL) Tax Provisions (2009 - 2026)
Oracle's Tax Provisions was $847 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 69.4% from $500 million a year earlier but down 20.5% from the prior quarter.
Oracle (ORCL) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Oracle's Tax Provisions was $2.81 billion through Aug 31, 2026, up 42.4% year-over-year; for FY2026 (ended May 31, 2026), it came in at $2.47 billion, up 43.7% from FY2025.
- Tax Provisions has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 1.4% (FY2021 to FY2026).
- In earlier fiscal years, Tax Provisions was $1.72 billion in FY2025 (+34.8%), $1.27 billion in FY2024 (+104.5%), $623 million in FY2023 (-33.2%) and $932 million in FY2022 (-59.5%).
- Quarterly Tax Provisions has moved between -$249 million (fiscal Q2 2022) and $1.07 billion (fiscal Q4 2026) over five years.
- Compared with a year earlier, Tax Provisions has increased for three straight quarters, with growth averaging 35.1% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q1 2026 (growth of 108.3%); the worst was fiscal Q3 2022 (a decline of 77.3%).
- Per Business Quant data, ORCL's Tax Provisions in the three fiscal quarters before Q1 2027 was $1.07 billion (Q4 2026), $695 million (Q3 2026) and $207 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | 13.56 Mn |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | 847.00 Mn |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | -844.41 Mn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | 1.03 Bn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | 329.70 Mn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 93.00 Mn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | 177.00 Mn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | 1.41 Bn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | -59.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 847.00 Mn |
| May 31, 2026 | 1.07 Bn |
| Feb 28, 2026 | 695.00 Mn |
| Nov 30, 2025 | 207.00 Mn |
| Aug 31, 2025 | 500.00 Mn |
| May 31, 2025 | 725.00 Mn |
| Feb 28, 2025 | 512.00 Mn |
| Nov 30, 2024 | 239.00 Mn |
| Aug 31, 2024 | 240.00 Mn |
| May 31, 2024 | 638.00 Mn |
| Feb 29, 2024 | 464.00 Mn |
| Nov 30, 2023 | 217.00 Mn |
| Aug 31, 2023 | -45.00 Mn |
| May 31, 2023 | -210.00 Mn |
| Feb 28, 2023 | 322.00 Mn |
| Nov 30, 2022 | 403.00 Mn |
| Aug 31, 2022 | 108.00 Mn |
| May 31, 2022 | 435.00 Mn |
| Feb 28, 2022 | 521.00 Mn |
| Nov 30, 2021 | -249.00 Mn |
Oracle Tax Provisions 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=tax-provisions&ticker=ORCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();