Bladex (BLX) Interest Expense - Debt (2012 - 2018)
Bladex (BLX) recorded Interest Expense - Debt of -$387.35 million in Q3 2024.
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Analysis
Bladex (BLX) Interest Expense - Debt (2012 - 2018) Analysis & Trends
On a TTM basis, Bladex's Interest Expense - Debt came in at -$1.17 billion as of Sep 30, 2024; for FY2023, it was -$93.34 million.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Expense - Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4.66 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 3.08 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 3.46 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1.07 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 3.05 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 2.43 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 39.83 Bn |
| 10 | Bladex | 1.89 Bn | -4.74 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 1.45 Bn |
| Sep 30, 2018 | 20.96 Mn |
| Jun 30, 2018 | 17.64 Mn |
| Mar 31, 2018 | 16.84 Mn |
| Dec 31, 2017 | 1.09 Bn |
| Sep 30, 2017 | 14.64 Mn |
| Jun 30, 2017 | 15.16 Mn |
| Mar 31, 2017 | 18.49 Mn |
| Dec 31, 2016 | 1.72 Bn |
| Sep 30, 2016 | 17.67 Mn |
| Jun 30, 2016 | 17.20 Mn |
| Mar 31, 2016 | 17.09 Mn |
| Dec 31, 2015 | 1.85 Bn |
| Sep 30, 2015 | 10.49 Mn |
| Jun 30, 2015 | 9.44 Mn |
| Mar 31, 2015 | 8.73 Mn |
| Sep 30, 2014 | 9.89 Mn |
| Jun 30, 2014 | 9.39 Mn |
| Mar 31, 2014 | 7.91 Mn |
| Sep 30, 2013 | 7.58 Mn |
API Access
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_KEYimport 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();