Banco Santander (Brasil) (BSBR) Accumulated Expenses (2011 - 2018)
Banco Santander (Brasil) (BSBR) recorded Accumulated Expenses of $3.55 billion in Q3 2018, up 357.6% from $776.91 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Banco Santander (Brasil) (BSBR) Accumulated Expenses (2011 - 2018) Analysis & Trends
At the end of FY2017, Banco Santander (Brasil) reported Accumulated Expenses of $1.79 billion.
- Annual Accumulated Expenses has a three-year compound annual growth rate of -27.4% (FY2014 to FY2017).
- Across earlier years, Accumulated Expenses came in at $4.67 billion in FY2014.
- The Q3 2018 figure is the highest quarterly Accumulated Expenses since Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Banco Santander (Brasil) | 41.61 Bn | 41.97 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 3.55 Bn |
| Jun 30, 2018 | 3.42 Bn |
| Dec 31, 2017 | 1.79 Bn |
| Sep 30, 2017 | 776.91 Mn |
| Dec 31, 2014 | 4.67 Bn |
| Sep 30, 2014 | 5.36 Bn |
| Mar 31, 2012 | 4.79 Bn |
| Dec 31, 2011 | 4.10 Bn |
API Access
Banco Santander (Brasil) Accumulated Expenses 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=accumulated-expenses&ticker=BSBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BSBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();