Bladex (BLX) Exchange Rate Effect (2011 - 2022)
Bladex (BLX) reported Exchange Rate Effect of $13,000 for FY2023, up 333.3% from $3,000 in FY2022.
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Analysis
Bladex (BLX) Exchange Rate Effect (2011 - 2022) Analysis & Trends
Dating back to FY2011, Bladex's Exchange Rate Effect record includes 9 years.
- Exchange Rate Effect has a four-year compound annual growth rate of -84.0% (FY2019 to FY2023).
- The FY2023 figure ranks as the highest annual Exchange Rate Effect since FY2020.
- According to Business Quant data, Exchange Rate Effect came in at $3,000 in FY2022 (+50.0%), $2,000 in FY2021 (-100.0%), $15.85 million in FY2020 (-20.9%) and $20.04 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 940.00 Mn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 249.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 309.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 723.66 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 655.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 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 |
|---|---|
| Dec 31, 2022 | 28.52 Mn |
| Sep 30, 2022 | -34.08 Mn |
| Jun 30, 2022 | -13.49 Mn |
| Mar 31, 2022 | 19.05 Mn |
| Dec 31, 2021 | -35.01 Mn |
| Dec 31, 2020 | 15.85 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 |
| Sep 30, 2012 | -102,000.00 |
| Jun 30, 2012 | -136,000.00 |
| Mar 31, 2012 | 197,000.00 |
| Dec 31, 2011 | -274,000.00 |
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();