Banco Santander (Brasil) (BSBR) Prepaid Assets (2009 - 2019)
Banco Santander (Brasil) (BSBR) reported Prepaid Assets of $108.86 million for Q4 2019, down 21.3% from $138.28 million a year earlier.
Analysis
Banco Santander (Brasil) (BSBR) Prepaid Assets (2009 - 2019) Analysis & Trends
Dating back to Q2 2009, Banco Santander (Brasil)'s Prepaid Assets record includes 15 quarters.
- Prepaid Assets has a four-year compound annual growth rate of -14.3% (FY2015 to FY2019).
- By year, Prepaid Assets came in at $138.28 million in FY2018 (-27.1%), $189.62 million in FY2017, $215.45 million in FY2016 and $202.24 million in FY2015.
- The Q4 2019 figure ranks as the lowest quarterly Prepaid Assets since Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - |
| 10 | Banco Santander (Brasil) | 18.96 Bn | -882.05 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 108.86 Mn |
| Dec 31, 2018 | 138.28 Mn |
| Dec 31, 2017 | 189.62 Mn |
| Sep 30, 2016 | 215.45 Mn |
| Dec 31, 2015 | 202.24 Mn |
| Mar 31, 2013 | 486.72 Mn |
| Dec 31, 2012 | 468.91 Mn |
| Jun 30, 2012 | 480.53 Mn |
| Jun 30, 2011 | 184.16 Mn |
| Sep 30, 2010 | 62.51 Mn |
| Jun 30, 2010 | 40.79 Mn |
| Mar 31, 2010 | 75.89 Mn |
| Dec 31, 2009 | 94.65 Mn |
| Sep 30, 2009 | 401,155.71 |
| Jun 30, 2009 | 185.72 Mn |
API Access
Banco Santander (Brasil) Prepaid Assets 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=prepaid-assets&ticker=BSBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=BSBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();