Oracle (ORCL) Exchange Rate Effect (2009 - 2026)
Oracle's Exchange Rate Effect was $11 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 59.3% from $27 million a year earlier but up 266.7% from the prior quarter.
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Analysis
Oracle (ORCL) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Oracle's Exchange Rate Effect was $80 million through Aug 31, 2026, up 21.2% year-over-year; for FY2026 (ended May 31, 2026), it was $96 million, down 22.6% from FY2025.
- Exchange Rate Effect shows a five-year compound annual growth rate of -26.5% (FY2021 to FY2026).
- In earlier fiscal years, Exchange Rate Effect was $124 million in FY2025, -$70 million in FY2024, -$209 million in FY2023 and -$348 million in FY2022.
- Quarterly Exchange Rate Effect has moved between -$203 million (fiscal Q1 2023) and $219 million (fiscal Q4 2025) over five years.
- Per Business Quant data, ORCL's Exchange Rate Effect in the three fiscal quarters before Q1 2027 was $3 million (Q4 2026), $109 million (Q3 2026) and -$43 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 11.00 Mn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | -11.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | -518,000.00 |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 11.00 Mn |
| May 31, 2026 | 3.00 Mn |
| Feb 28, 2026 | 109.00 Mn |
| Nov 30, 2025 | -43.00 Mn |
| Aug 31, 2025 | 27.00 Mn |
| May 31, 2025 | 219.00 Mn |
| Feb 28, 2025 | -51.00 Mn |
| Nov 30, 2024 | -129.00 Mn |
| Aug 31, 2024 | 85.00 Mn |
| May 31, 2024 | -68.00 Mn |
| Feb 29, 2024 | 8.00 Mn |
| Nov 30, 2023 | 26.00 Mn |
| Aug 31, 2023 | -36.00 Mn |
| May 31, 2023 | -49.00 Mn |
| Feb 28, 2023 | 14.00 Mn |
| Nov 30, 2022 | 29.00 Mn |
| Aug 31, 2022 | -203.00 Mn |
| May 31, 2022 | -97.00 Mn |
| Feb 28, 2022 | 46.00 Mn |
| Nov 30, 2021 | -116.00 Mn |
API Access
Oracle Exchange Rate Effect 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=exchange-rate-effect&ticker=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();