Raymond James Financial (RJF) Tax Provisions (2009 - 2026)
Raymond James Financial (RJF) reported Tax Provisions of $155 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 22.0% from $127 million a year earlier but down 18.8% from the prior quarter.
Raymond James Financial (RJF) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Raymond James Financial's Tax Provisions came in at $638 million, up 4.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $579 million, up 0.7% from FY2024.
- Tax Provisions has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- By fiscal year, Tax Provisions came in at $575 million in FY2024 (+6.3%), $541 million in FY2023 (+5.5%), $513 million in FY2022 (+32.2%) and $388 million in FY2021 (+65.8%).
- Five-year quarterly Tax Provisions spans a low of $110 million in fiscal Q2 2022 and a high of $191 million in fiscal Q2 2026.
- Year over year, Tax Provisions has now increased in each of the last three quarters, with growth averaging 6.9% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was fiscal Q4 2021 (growth of 178.7%); the low point was fiscal Q4 2025 (a decline of 19.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $191 million (Q2 2026), $165 million (Q1 2026) and $127 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Raymond James Financial | 30.37 Bn | -18.15 Bn | - | 155.00 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 131.00 Mn |
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_KEY
import 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();