Oracle (ORCL) Exchange Rate Effect (2009 - 2026)
Oracle's (ORCL) quarterly Exchange Rate Effect came in at $11.0 million in Q3 2026, down 59.26% year-over-year from $27.0 million in Q3 2025, and up 266.67% on a QoQ basis from $3.0 million in Q2 2026.
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Analysis
Oracle (ORCL) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Oracle (ORCL) has 18 years of Exchange Rate Effect data on file, last reported at $11.0 million in Q3 2026.
- On a quarterly basis, Exchange Rate Effect fell 59.26% year-over-year to $11.0 million in Q3 2026; TTM through Aug 2026 was $80.0 million, a 21.21% increase from a year earlier, with the FY2026 full-year figure at $96.0 million, down 22.58% from the prior year.
- Exchange Rate Effect for Q3 2026 stood at $11.0 million, up from $3.0 million in the prior quarter.
- Across five years, Exchange Rate Effect topped out at $219.0 million in Q2 2025 and bottomed at -$203.0 million in Q3 2022.
- Historically, Exchange Rate Effect has averaged -$5.2 million across 5 years, with a median of $8.0 million in 2024.
- The largest YoY upside for Exchange Rate Effect was 422.06% in 2025 against a maximum downside of 737.5% in 2025.
- Year by year, Exchange Rate Effect stood at $29.0 million in 2022, then fell by 10.34% to $26.0 million in 2023, then tumbled by 596.15% to -$129.0 million in 2024, then jumped by 66.67% to -$43.0 million in 2025, then surged by 125.58% to $11.0 million in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were $11.0 million in Q3 2026, $3.0 million in Q2 2026, and $109.0 million in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 11.00 Mn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | -11.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | -518,000.00 |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 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();