Raymond James Financial (RJF) Acquisitions (2010 - 2026)
Raymond James Financial (RJF) posted Acquisitions of $392 million for fiscal Q3 2026 (quarter ended Jun 30, 2026).
Analysis
Raymond James Financial (RJF) Acquisitions (2010 - 2026) Analysis & Trends
For FY2022 (ended Sep 30, 2022), Raymond James Financial's Acquisitions came in at -$1.46 billion.
- In prior fiscal years, Raymond James Financial's Acquisitions was $266 million in FY2021, $5 million in FY2020 (unchanged), $5 million in FY2019 (-96.9%) and $159 million in FY2018.
- The fiscal Q3 2026 figure stands as the highest quarterly Acquisitions since fiscal Q3 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | Raymond James Financial | 30.72 Bn | -17.80 Bn | - | 392.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 392.00 Mn |
| Sep 30, 2022 | 308.00 Mn |
| Jun 30, 2022 | -98.00 Mn |
| Mar 31, 2022 | -1.67 Bn |
| Sep 30, 2021 | 21.00 Mn |
| Mar 31, 2021 | 27.00 Mn |
| Dec 31, 2020 | 218.00 Mn |
| Jun 30, 2020 | 5.00 Mn |
| Jun 30, 2019 | 5.00 Mn |
| Dec 31, 2017 | 159.00 Mn |
| Mar 31, 2014 | 2.01 Mn |
| Dec 31, 2012 | 6.45 Mn |
| Sep 30, 2012 | -23.01 Mn |
| Jun 30, 2012 | 1.10 Bn |
| Sep 30, 2010 | 3.39 Mn |
API Access
Raymond James Financial Acquisitions 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=acquisitions&ticker=RJF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();