Bladex (BLX) Net Interest Income After Provisions (2009 - 2015)
Bladex's Net Interest Income After Provisions was $28.86 million in Q3 2015, down 0.7% from the prior quarter.
Bladex (BLX) Net Interest Income After Provisions (2009 - 2015) Analysis & Trends
On a trailing twelve-month basis, Bladex's Net Interest Income After Provisions was $132.33 million through Sep 30, 2015; for FY2014, it came in at $134.24 million, up 7.7% from FY2013.
- Net Interest Income After Provisions has now increased for five consecutive years, with a five-year compound annual growth rate of 23.6% (FY2009 to FY2014).
- In earlier years, Net Interest Income After Provisions was $124.69 million in FY2013 (+10.0%), $113.32 million in FY2012 (+20.7%), $93.87 million in FY2011 (+43.5%) and $65.41 million in FY2010 (+40.8%).
- The Q3 2015 figure marks the lowest quarterly Net Interest Income After Provisions since Q1 2013.
- Compared with a year earlier, Net Interest Income After Provisions was higher in three of the last six quarters, with growth averaging 5.8%.
- The best year-over-year quarter for Net Interest Income After Provisions over five years was Q2 2011 (growth of 207.7%); the worst was Q3 2012 (a decline of 17.7%).
- Per Business Quant data, BLX's Net Interest Income After Provisions in the three quarters before Q3 2015 was $29.06 million (Q2 2015), $38.46 million (Q1 2015) and $35.94 million (Q4 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NII After Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 24.29 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 | Bladex | 1.89 Bn | -4.74 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2015 | 28.86 Mn |
| Jun 30, 2015 | 29.06 Mn |
| Mar 31, 2015 | 38.46 Mn |
| Dec 31, 2014 | 35.94 Mn |
| Sep 30, 2014 | 35.71 Mn |
| Jun 30, 2014 | 30.46 Mn |
| Mar 31, 2014 | 32.13 Mn |
| Dec 31, 2013 | 31.75 Mn |
| Sep 30, 2013 | 32.69 Mn |
| Jun 30, 2013 | 32.06 Mn |
| Mar 31, 2013 | 28.19 Mn |
| Dec 31, 2012 | 32.58 Mn |
| Sep 30, 2012 | 24.50 Mn |
| Jun 30, 2012 | 23.10 Mn |
| Mar 31, 2012 | 33.14 Mn |
| Dec 31, 2011 | 21.44 Mn |
| Sep 30, 2011 | 29.77 Mn |
| Jun 30, 2011 | 26.07 Mn |
| Mar 31, 2011 | 16.59 Mn |
| Dec 31, 2010 | 8.25 Mn |
Bladex Net Interest Income After Provisions 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=net-interest-income-after-provisions&ticker=BLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-interest-income-after-provisions", "ticker": "BLX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-interest-income-after-provisions&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();