Raymond James Financial (RJF) Provision for Losses (2009 - 2026)
Raymond James Financial (RJF) recorded Provision for Losses of -$24 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $83 million a year earlier.
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Analysis
Raymond James Financial (RJF) Provision for Losses (2009 - 2026) Analysis & Trends
On a TTM basis, Raymond James Financial's Provision for Losses came in at $12 million as of Jun 30, 2026, down 90.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $122 million, up 481.0% from FY2024.
- Annual Provision for Losses has a five-year compound annual growth rate of -13.8% (FY2020 to FY2025).
- Across earlier fiscal years, Provision for Losses came in at $21 million in FY2024 (-92.8%), $292 million in FY2023 (+163.1%), $111 million in FY2022 and -$20 million in FY2021.
- The fiscal Q3 2026 figure is the lowest quarterly Provision for Losses since fiscal Q2 2021.
- On a year-over-year basis, Provision for Losses rose in 1 of the last five quarters, with an average decline of 33.5%.
- Peak year-over-year performance for Provision for Losses in the last five years was growth of 333.3% in fiscal Q4 2022, against a decline of 81.3% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $19 million (Q2 2026), $2 million (Q1 2026) and $15 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Raymond James Financial | 32.28 Bn | 32.28 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -24.00 Mn |
| Mar 31, 2026 | 19.00 Mn |
| Dec 31, 2025 | 2.00 Mn |
| Sep 30, 2025 | 15.00 Mn |
| Jun 30, 2025 | 83.00 Mn |
| Mar 31, 2025 | 17.00 Mn |
| Dec 31, 2024 | 7.00 Mn |
| Sep 30, 2024 | 21.00 Mn |
| Mar 31, 2024 | -7.00 Mn |
| Dec 31, 2023 | 7.00 Mn |
| Sep 30, 2023 | 101.00 Mn |
| Jun 30, 2023 | 113.00 Mn |
| Mar 31, 2023 | 57.00 Mn |
| Dec 31, 2022 | 21.00 Mn |
| Sep 30, 2022 | 39.00 Mn |
| Jun 30, 2022 | 56.00 Mn |
| Mar 31, 2022 | 24.00 Mn |
| Dec 31, 2021 | -8.00 Mn |
| Sep 30, 2021 | 9.00 Mn |
| Jun 30, 2021 | -15.00 Mn |
API Access
Raymond James Financial Provision for Losses 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=provision-for-losses&ticker=RJF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();