Bladex (BLX) Interest Expense - Debt (2016 - 2018)
Bladex (BLX) recorded Interest Expense - Debt of $17.64 million in Q2 2018, up 16.4% from $15.16 million a year earlier and up 4.7% from the prior quarter.
Bladex (BLX) Interest Expense - Debt (2016 - 2018) Analysis & Trends
On a TTM basis, Bladex's Interest Expense - Debt came in at $68.14 million as of Jun 30, 2018, up 0.3% year-over-year; for FY2014, it was $37,000, down 98.0% from FY2013.
- Annual Interest Expense - Debt has a five-year compound annual growth rate of -56.3% (FY2009 to FY2014).
- Across earlier years, Interest Expense - Debt came in at $1.84 million in FY2013, $109,000 in FY2012 (-66.3%), $323,000 in FY2011 (-66.5%) and $963,000 in FY2010 (-58.6%).
- The Q2 2018 figure is the highest quarterly Interest Expense - Debt since Q1 2017.
- On a year-over-year basis, Interest Expense - Debt rose in two of the last four quarters, with growth averaging 1.0%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Expense - Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4.47 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3.10 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 3.41 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 | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 2.62 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 2.39 Bn |
| 10 | Bladex | 2.07 Bn | -7.87 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 17.64 Mn |
| Mar 31, 2018 | 16.84 Mn |
| Jun 30, 2017 | 15.16 Mn |
| Mar 31, 2017 | 18.49 Mn |
| Jun 30, 2016 | 17.20 Mn |
| Mar 31, 2016 | 17.09 Mn |
Bladex Interest Expense - Debt 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=interest-expense-debt&ticker=BLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-debt", "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=interest-expense-debt&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();