Jefferies Financial (JEF) Exchange Rate Effect (2009 - 2026)
Jefferies Financial's Exchange Rate Effect was $2.27 million in fiscal Q3 2026 (quarter ended Aug 31, 2026), compared with -$44.19 million a year earlier.
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Analysis
Jefferies Financial (JEF) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jefferies Financial's Exchange Rate Effect was -$17.48 million through Aug 31, 2026; for FY2025 (ended Nov 30, 2025), it came in at $2.37 million.
- Exchange Rate Effect shows a five-year compound annual growth rate of -33.5% (FY2020 to FY2025).
- In earlier fiscal years, Exchange Rate Effect was -$2.25 million in FY2024, $54.91 million in FY2023, -$22.14 million in FY2022 and -$3.39 million in FY2021.
- The fiscal Q3 2026 figure marks the highest quarterly Exchange Rate Effect since fiscal Q2 2025.
- Per Business Quant data, JEF's Exchange Rate Effect in the three fiscal quarters before Q3 2026 was -$4.68 million (Q2 2026), -$152,000 (Q1 2026) and -$14.91 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | - |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | -12.00 Mn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | -3.00 Mn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | -19.00 Mn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | -23.00 Mn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | - |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | -29.80 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | -44.00 Mn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | -103.10 Mn |
| 10 | Jefferies Financial | 9.61 Bn | -47.59 Bn | 3.21 Bn | 2.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.27 Mn |
| May 31, 2026 | -4.68 Mn |
| Feb 28, 2026 | -152,000.00 |
| Nov 30, 2025 | -14.91 Mn |
| Aug 31, 2025 | -44.19 Mn |
| May 31, 2025 | 69.53 Mn |
| Feb 28, 2025 | -8.06 Mn |
| Nov 30, 2024 | -21.15 Mn |
| Aug 31, 2024 | 20.41 Mn |
| May 31, 2024 | 170,000.00 |
| Feb 29, 2024 | -1.68 Mn |
| Nov 30, 2023 | 55.13 Mn |
| Aug 31, 2023 | -2.87 Mn |
| May 31, 2023 | 975,000.00 |
| Feb 28, 2023 | 1.68 Mn |
| Nov 30, 2022 | -1.96 Mn |
| Aug 31, 2022 | -10.39 Mn |
| May 31, 2022 | -9.33 Mn |
| Feb 28, 2022 | -467,000.00 |
| Nov 30, 2021 | -5.09 Mn |
API Access
Jefferies Financial 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=JEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "JEF", "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=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();