Raymond James Financial (RJF) Exchange Rate Effect (2009 - 2026)
Raymond James Financial's Exchange Rate Effect came in at -$21 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $197 million a year earlier.
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Analysis
Raymond James Financial (RJF) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Raymond James Financial reported Exchange Rate Effect of -$133 million; for FY2025 (ended Sep 30, 2025), it came in at -$35 million.
- Going back by fiscal year, Exchange Rate Effect was $175 million in FY2024 (-26.8%), $239 million in FY2023, -$590 million in FY2022 and $76 million in FY2021.
- The five-year range for quarterly Exchange Rate Effect is -$301 million (fiscal Q4 2022) to $215 million (fiscal Q1 2023).
- Business Quant data shows RJF's Exchange Rate Effect at -$58 million (Q2 2026), $29 million (Q1 2026) and -$83 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | -2.24 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | -289.00 Mn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | -503.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 723.66 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | -713.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | Raymond James Financial | 30.72 Bn | -17.80 Bn | - | -21.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -21.00 Mn |
| Mar 31, 2026 | -58.00 Mn |
| Dec 31, 2025 | 29.00 Mn |
| Sep 30, 2025 | -83.00 Mn |
| Jun 30, 2025 | 197.00 Mn |
| Mar 31, 2025 | 65.00 Mn |
| Dec 31, 2024 | -214.00 Mn |
| Sep 30, 2024 | 119.00 Mn |
| Jun 30, 2024 | -11.00 Mn |
| Mar 31, 2024 | -48.00 Mn |
| Dec 31, 2023 | 115.00 Mn |
| Sep 30, 2023 | -107.00 Mn |
| Jun 30, 2023 | 88.00 Mn |
| Mar 31, 2023 | 43.00 Mn |
| Dec 31, 2022 | 215.00 Mn |
| Sep 30, 2022 | -301.00 Mn |
| Jun 30, 2022 | -240.00 Mn |
| Mar 31, 2022 | -52.00 Mn |
| Dec 31, 2021 | 3.00 Mn |
| Sep 30, 2021 | -38.00 Mn |
API Access
Raymond James 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=RJF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "RJF", "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=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();