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 | 480.73 Bn | 449.68 Bn | 1.64 Bn | 15.38 Mn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 847.00 Mn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | -926.40 Mn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 1.03 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 140.00 Mn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 279.20 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 177.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 1.56 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 71.00 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();