Raymond James Financial (RJF) Tax Provisions (2009 - 2026)
Raymond James Financial (RJF) reported Tax Provisions of $196 million for fiscal Q4 2026 (quarter ended Sep 30, 2026), up 54.3% from $127 million a year earlier and up 26.5% from the prior quarter.
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Analysis
Raymond James Financial (RJF) Tax Provisions (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), Raymond James Financial posted Tax Provisions of $707 million, up 22.1% from FY2025.
- Tax Provisions has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 12.8% (FY2021 to FY2026).
- By fiscal year, Tax Provisions came in at $579 million in FY2025 (+0.7%), $575 million in FY2024 (+6.3%), $541 million in FY2023 (+5.5%) and $513 million in FY2022 (+32.2%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Tax Provisions in data going back to fiscal Q3 2009.
- Year over year, Tax Provisions has now increased in each of the last four quarters, with growth averaging 13.1% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was fiscal Q4 2026 (growth of 54.3%); the low point was fiscal Q4 2025 (a decline of 19.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $155 million (Q3 2026), $191 million (Q2 2026) and $165 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4.83 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 2.03 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | -2.06 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1.51 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1.24 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 1.71 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.16 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 1.70 Bn |
| 10 | Raymond James Financial | 32.28 Bn | 32.28 Bn | - | 196.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 196.00 Mn |
| Jun 30, 2026 | 155.00 Mn |
| Mar 31, 2026 | 191.00 Mn |
| Dec 31, 2025 | 165.00 Mn |
| Sep 30, 2025 | 127.00 Mn |
| Jun 30, 2025 | 127.00 Mn |
| Mar 31, 2025 | 176.00 Mn |
| Dec 31, 2024 | 149.00 Mn |
| Sep 30, 2024 | 158.00 Mn |
| Jun 30, 2024 | 152.00 Mn |
| Mar 31, 2024 | 133.00 Mn |
| Dec 31, 2023 | 132.00 Mn |
| Sep 30, 2023 | 151.00 Mn |
| Jun 30, 2023 | 117.00 Mn |
| Mar 31, 2023 | 130.00 Mn |
| Dec 31, 2022 | 143.00 Mn |
| Sep 30, 2022 | 177.00 Mn |
| Jun 30, 2022 | 114.00 Mn |
| Mar 31, 2022 | 110.00 Mn |
| Dec 31, 2021 | 112.00 Mn |
API Access
Raymond James Financial Tax Provisions 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=tax-provisions&ticker=RJF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();