Raymond James Financial (RJF) Change in Accured Expenses (2009 - 2026)
Raymond James Financial's Change in Accured Expenses came in at $407 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 36.6% from $298 million a year earlier and up 145.2% from the prior quarter.
Raymond James Financial (RJF) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Raymond James Financial reported Change in Accured Expenses of $302 million, up 28.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $279 million, down 30.9% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 31.9% (FY2020 to FY2025).
- Going back by fiscal year, Change in Accured Expenses was $404 million in FY2024 (+228.5%), $123 million in FY2023, -$76 million in FY2022 and $416 million in FY2021 (+494.3%).
- The fiscal Q3 2026 figure represents the highest quarterly Change in Accured Expenses in data going back to fiscal Q4 2009.
- Year-over-year, Change in Accured Expenses increased in five of the last six quarters, with growth averaging 21.0%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q4 2024 (growth of 58.3%), and the weakest in fiscal Q3 2022 (a decline of 91.0%).
- Business Quant data shows RJF's Change in Accured Expenses at $166 million (Q2 2026), -$659 million (Q1 2026) and $388 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 14.35 Bn |
| 10 | Raymond James Financial | 30.40 Bn | -18.12 Bn | - | 407.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 407.00 Mn |
| Mar 31, 2026 | 166.00 Mn |
| Dec 31, 2025 | -659.00 Mn |
| Sep 30, 2025 | 388.00 Mn |
| Jun 30, 2025 | 298.00 Mn |
| Mar 31, 2025 | 122.00 Mn |
| Dec 31, 2024 | -529.00 Mn |
| Sep 30, 2024 | 345.00 Mn |
| Jun 30, 2024 | 219.00 Mn |
| Mar 31, 2024 | 263.00 Mn |
| Dec 31, 2023 | -423.00 Mn |
| Sep 30, 2023 | 218.00 Mn |
| Jun 30, 2023 | 237.00 Mn |
| Mar 31, 2023 | 179.00 Mn |
| Dec 31, 2022 | -511.00 Mn |
| Sep 30, 2022 | 185.00 Mn |
| Jun 30, 2022 | 17.00 Mn |
| Mar 31, 2022 | 117.00 Mn |
| Dec 31, 2021 | -395.00 Mn |
| Sep 30, 2021 | 256.00 Mn |
Raymond James Financial Change in Accured Expenses 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=change-in-accured-expenses&ticker=RJF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();