Raymond James Financial (RJF) Cash & Equivalents (2009 - 2026)
Raymond James Financial (RJF) reported Cash & Equivalents of $9.98 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 8.5% from $9.2 billion a year earlier but down 11.1% from the prior quarter.
Raymond James Financial (RJF) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Raymond James Financial posted Cash & Equivalents of $11.39 billion, down 20.6% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- By fiscal year, Cash & Equivalents came in at $14.35 billion in FY2024 (+54.1%), $9.31 billion in FY2023 (-36.5%), $14.66 billion in FY2022 (-10.9%) and $16.45 billion in FY2021 (+70.7%).
- Five-year quarterly Cash & Equivalents spans a low of $5.72 billion in fiscal Q2 2022 and a high of $16.45 billion in fiscal Q4 2021.
- Year over year, Cash & Equivalents gained in four of the last eight quarters, with growth averaging 6.6%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q4 2021 (growth of 70.7%); the low point was fiscal Q4 2023 (a decline of 36.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $11.22 billion (Q2 2026), $9.89 billion (Q1 2026) and $11.39 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 2.20 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 249.64 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 222.46 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 138.67 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 45.78 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 176.77 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 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
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.98 Bn |
| Mar 31, 2026 | 11.22 Bn |
| Dec 31, 2025 | 9.89 Bn |
| Sep 30, 2025 | 11.39 Bn |
| Jun 30, 2025 | 9.20 Bn |
| Mar 31, 2025 | 9.66 Bn |
| Dec 31, 2024 | 10.05 Bn |
| Sep 30, 2024 | 14.35 Bn |
| Jun 30, 2024 | 9.10 Bn |
| Mar 31, 2024 | 10.00 Bn |
| Dec 31, 2023 | 10.21 Bn |
| Sep 30, 2023 | 9.31 Bn |
| Jun 30, 2023 | 8.38 Bn |
| Mar 31, 2023 | 8.66 Bn |
| Dec 31, 2022 | 6.18 Bn |
| Sep 30, 2022 | 14.66 Bn |
| Jun 30, 2022 | 5.96 Bn |
| Mar 31, 2022 | 5.72 Bn |
| Dec 31, 2021 | 8.22 Bn |
| Sep 30, 2021 | 16.45 Bn |
Raymond James Financial Cash & Equivalents 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=cash-and-equivalents&ticker=RJF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();