Bladex (BLX) Exchange Rate Effect (2009 - 2024)
Bladex (BLX) reported Exchange Rate Effect of -$303.49 million for Q4 2024.
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Analysis
Bladex (BLX) Exchange Rate Effect (2009 - 2024) Analysis & Trends
Dating back to Q4 2009, Bladex's Exchange Rate Effect record includes 16 quarters.
- By year, Exchange Rate Effect came in at $157.44 million in FY2023 (+246.3%), $45.46 million in FY2022, $2,000 in FY2021 and -$11,000 in FY2020.
- The Q4 2024 figure ranks as the highest quarterly Exchange Rate Effect in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | -2.24 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | -289.00 Mn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | -503.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 723.66 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | -713.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | Bladex | 2.07 Bn | -7.87 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -303.49 Mn |
| Dec 31, 2022 | 45.46 Mn |
| Jun 30, 2014 | 1,000.00 |
| Mar 31, 2014 | 1,000.00 |
| Jun 30, 2013 | 35,000.00 |
| Mar 31, 2013 | 46,000.00 |
| Dec 31, 2012 | -27,000.00 |
| Jun 30, 2012 | -136,000.00 |
| Mar 31, 2012 | 197,000.00 |
| Dec 31, 2011 | -274,000.00 |
| Jun 30, 2011 | 165,000.00 |
| Mar 31, 2011 | 366,000.00 |
| Dec 31, 2010 | 404,000.00 |
| Jun 30, 2010 | -568,000.00 |
| Mar 31, 2010 | 1.31 Mn |
| Dec 31, 2009 | 1.83 Mn |
API Access
Bladex Exchange Rate Effect 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=exchange-rate-effect&ticker=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();