Banco Santander (Brasil) (BSBR) Receivables - Doubtful (2009 - 2012)
Banco Santander (Brasil) (BSBR) recorded Receivables - Doubtful of -$8.02 billion in Q4 2012, compared with -$5.25 billion a year earlier.
Analysis
Banco Santander (Brasil) (BSBR) Receivables - Doubtful (2009 - 2012) Analysis & Trends
Starting with Q1 2009, Banco Santander (Brasil)'s Receivables - Doubtful history includes 12 quarters.
- Across earlier years, Receivables - Doubtful came in at -$5.25 billion in FY2011, -$5.44 billion in FY2010 and -$5.8 billion in FY2009.
- The Q4 2012 figure is the lowest quarterly Receivables - Doubtful in data going back to Q1 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables - Doubtful (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 | -7.61 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | Banco Santander (Brasil) | 42.44 Bn | 42.80 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2012 | -8.02 Bn |
| Dec 31, 2011 | -5.25 Bn |
| Jun 30, 2011 | -6.58 Bn |
| Mar 31, 2011 | -5.94 Bn |
| Dec 31, 2010 | -4.87 Bn |
| Sep 30, 2010 | -5.46 Bn |
| Jun 30, 2010 | -5.47 Bn |
| Mar 31, 2010 | -5.57 Bn |
| Dec 31, 2009 | -5.80 Bn |
| Sep 30, 2009 | -5.54 Bn |
| Jun 30, 2009 | -4.41 Bn |
| Mar 31, 2009 | -3.85 Bn |
API Access
Banco Santander (Brasil) Receivables - Doubtful 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=receivables-doubtful&ticker=BSBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-doubtful", "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=receivables-doubtful&ticker=BSBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();