Bladex (BLX) Change in Accured Expenses (2011 - 2015)
Bladex (BLX) posted Change in Accured Expenses of -$2.74 million for Q2 2015, compared with -$3.46 million a year earlier.
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Analysis
Bladex (BLX) Change in Accured Expenses (2011 - 2015) Analysis & Trends
For the trailing twelve months through Jun 30, 2015, Change in Accured Expenses at Bladex was $403,000; for FY2014, it was $1.07 million.
- In prior years, Bladex's Change in Accured Expenses was -$4.16 million in FY2013, $6.15 million in FY2012 (+260.7%), $1.71 million in FY2011 and -$1.21 million in FY2010.
- Quarterly Change in Accured Expenses has run from a low of -$8.57 million in Q2 2013 to a high of $5.91 million in Q1 2013 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 14.35 Bn |
| 10 | Bladex | 2.04 Bn | -7.89 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | -2.74 Mn |
| Mar 31, 2015 | 2.90 Mn |
| Jun 30, 2014 | -3.46 Mn |
| Mar 31, 2014 | 3.70 Mn |
| Jun 30, 2013 | -8.57 Mn |
| Mar 31, 2013 | 5.91 Mn |
| Dec 31, 2012 | -7.27 Mn |
| Jun 30, 2012 | 3.07 Mn |
| Mar 31, 2012 | 3.65 Mn |
| Dec 31, 2011 | -450,000.00 |
| Jun 30, 2011 | 1.27 Mn |
| Mar 31, 2011 | -1.21 Mn |
API Access
Bladex Change in Accured 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=change-in-accured-expenses&ticker=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();