Raymond James Financial (RJF) Change in Acquisitions & Divestments (2009 - 2020)
Raymond James Financial's Change in Acquisitions & Divestments was -$5.86 million in FY2011 (year ended Sep 30, 2011), compared with -$8.93 million in FY2010.
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Analysis
Raymond James Financial (RJF) Change in Acquisitions & Divestments (2009 - 2020) Analysis & Trends
- Per Business Quant data, Change in Acquisitions & Divestments in earlier fiscal years was -$8.93 million in FY2010 and -$312,000 in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | -47.00 Mn |
| Mar 31, 2020 | 205.00 Mn |
| Dec 31, 2019 | 68.00 Mn |
| Sep 30, 2019 | 53.00 Mn |
| Jun 30, 2019 | -8.00 Mn |
| Mar 31, 2019 | 7.00 Mn |
| Dec 31, 2018 | -60.00 Mn |
| Sep 30, 2018 | 43.00 Mn |
| Jun 30, 2018 | 76.00 Mn |
| Mar 31, 2018 | -228.00 Mn |
| Dec 31, 2017 | 104.00 Mn |
| Sep 30, 2017 | 75.99 Mn |
| Jun 30, 2017 | 57.65 Mn |
| Mar 31, 2017 | -157.04 Mn |
| Dec 31, 2016 | 120.39 Mn |
| Sep 30, 2011 | -5.86 Mn |
| Sep 30, 2010 | -2.01 Bn |
| Dec 31, 2009 | 2.00 Bn |
| Sep 30, 2009 | -365.31 Mn |
| Jun 30, 2009 | 410.00 Mn |
API Access
Raymond James Financial Change in Acquisitions & Divestments 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-acquisitions-and-divestments&ticker=RJF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-acquisitions-and-divestments", "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-acquisitions-and-divestments&ticker=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();