Raymond James Financial (RJF) Total Liabilities (2009 - 2026)
Raymond James Financial (RJF) reported Total Liabilities of $81.45 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.3% from $72.55 billion a year earlier and up 2.7% from the prior quarter.
Raymond James Financial (RJF) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Raymond James Financial posted Total Liabilities of $75.73 billion, up 6.2% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $71.32 billion in FY2024 (+4.6%), $68.17 billion in FY2023 (-4.7%), $71.52 billion in FY2022 (+33.5%) and $53.59 billion in FY2021 (+33.0%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Total Liabilities in data going back to fiscal Q4 2009.
- Year over year, Total Liabilities has now increased in each of the last 11 quarters, with growth averaging 6.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q3 2022 (growth of 55.6%); the low point was fiscal Q3 2023 (a decline of 11.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $79.33 billion (Q2 2026), $76.19 billion (Q1 2026) and $75.73 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 2,099.88 Bn |
| 10 | Raymond James Financial | 30.72 Bn | -17.80 Bn | - | 81.45 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.45 Bn |
| Mar 31, 2026 | 79.33 Bn |
| Dec 31, 2025 | 76.19 Bn |
| Sep 30, 2025 | 75.73 Bn |
| Jun 30, 2025 | 72.55 Bn |
| Mar 31, 2025 | 70.91 Bn |
| Dec 31, 2024 | 70.35 Bn |
| Sep 30, 2024 | 71.32 Bn |
| Jun 30, 2024 | 69.44 Bn |
| Mar 31, 2024 | 70.25 Bn |
| Dec 31, 2023 | 69.35 Bn |
| Sep 30, 2023 | 68.17 Bn |
| Jun 30, 2023 | 67.71 Bn |
| Mar 31, 2023 | 69.21 Bn |
| Dec 31, 2022 | 67.22 Bn |
| Sep 30, 2022 | 71.52 Bn |
| Jun 30, 2022 | 76.62 Bn |
| Mar 31, 2022 | 64.49 Bn |
| Dec 31, 2021 | 59.81 Bn |
| Sep 30, 2021 | 53.59 Bn |
Raymond James Financial Total Liabilities 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=total-liabilities&ticker=RJF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();