Bladex (BLX) Maturities of HTM Securities (2012 - 2015)
Bladex (BLX) reported Maturities of HTM Securities of $16.42 million for Q3 2015, up 82.5% from the prior quarter.
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Analysis
Bladex (BLX) Maturities of HTM Securities (2012 - 2015) Analysis & Trends
Over the twelve months ended Sep 30, 2015, Bladex's Maturities of HTM Securities came in at $31.42 million; for FY2014, it came in at $19.88 million, down 0.1% from FY2013.
- Maturities of HTM Securities has a three-year compound annual growth rate of 13.8% (FY2011 to FY2014).
- By year, Maturities of HTM Securities came in at $19.91 million in FY2013 (+182.4%), $7.05 million in FY2012 (-47.8%) and $13.5 million in FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Maturities of HTM Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 7.99 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 9.10 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1.15 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 3.83 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 6.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Bladex | 1.89 Bn | -4.74 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2015 | 16.42 Mn |
| Jun 30, 2015 | 9.00 Mn |
| Mar 31, 2015 | 4.50 Mn |
| Dec 31, 2012 | 1.50 Mn |
| Sep 30, 2012 | 5.05 Mn |
API Access
Bladex Maturities of HTM Securities 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=maturities-of-htm-securities&ticker=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "maturities-of-htm-securities", "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=maturities-of-htm-securities&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();