Banco Santander (Brasil) (BSBR) Professional Fees (2009 - 2018)
Banco Santander (Brasil)'s Professional Fees was $3.18 billion in Q3 2018.
Banco Santander (Brasil) (BSBR) Professional Fees (2009 - 2018) Analysis & Trends
On a trailing twelve-month basis, Banco Santander (Brasil)'s Professional Fees was $2.59 billion through Sep 30, 2018; for FY2011, it was $4.41 billion, up 13.1% from FY2010.
- In earlier years, Professional Fees was $3.9 billion in FY2010 (+22.8%) and $3.17 billion in FY2009.
- The Q3 2018 figure marks the highest quarterly Professional Fees since Q4 2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Banco Santander (Brasil) | 18.96 Bn | -882.05 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 3.18 Bn |
| Dec 31, 2017 | 1.31 Bn |
| Sep 30, 2016 | -2.94 Bn |
| Dec 31, 2011 | 1.03 Bn |
| Sep 30, 2011 | 1.13 Bn |
| Jun 30, 2011 | 1.17 Bn |
| Mar 31, 2011 | 1.08 Bn |
| Dec 31, 2010 | 1.02 Bn |
| Sep 30, 2010 | 1.02 Bn |
| Jun 30, 2010 | 955.53 Mn |
| Mar 31, 2010 | 902.41 Mn |
| Dec 31, 2009 | 3.59 Bn |
| Sep 30, 2009 | 837.13 Mn |
Banco Santander (Brasil) Professional Fees 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=professional-fees&ticker=BSBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "BSBR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=professional-fees&ticker=BSBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();