Bladex (BLX) Professional Fees (2009 - 2016)
Bladex's Professional Fees came in at $3.32 million for FY2020, down 4.9% from $3.49 million in FY2019.
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Analysis
Bladex (BLX) Professional Fees (2009 - 2016) Analysis & Trends
Going back to FY2009, Bladex's Professional Fees data covers 11 years.
- Professional Fees carries a five-year compound annual growth rate of -6.4% (FY2015 to FY2020).
- The FY2020 figure represents the lowest annual Professional Fees since FY2009.
- Per Business Quant, earlier years put Professional Fees at $3.49 million in FY2019 (-18.8%), $4.29 million in FY2018 (+9.8%) and $3.91 million in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 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 |
|---|---|
| Sep 30, 2016 | 1.29 Mn |
| Jun 30, 2016 | 846,000.00 |
| Mar 31, 2016 | 477,000.00 |
| Dec 31, 2015 | 1.44 Mn |
| Sep 30, 2015 | 1.21 Mn |
| Jun 30, 2015 | 1.22 Mn |
| Mar 31, 2015 | 753,000.00 |
| Dec 31, 2014 | 2.13 Mn |
| Sep 30, 2014 | 1.12 Mn |
| Jun 30, 2014 | 1.11 Mn |
| Mar 31, 2014 | 815,000.00 |
| Dec 31, 2013 | 1.60 Mn |
| Sep 30, 2013 | 813,000.00 |
| Jun 30, 2013 | 951,000.00 |
| Mar 31, 2013 | 644,000.00 |
| Dec 31, 2012 | -1.41 Mn |
| Sep 30, 2012 | 883,000.00 |
| Jun 30, 2012 | 938,000.00 |
| Mar 31, 2012 | 828,000.00 |
| Dec 31, 2011 | -1.11 Mn |
API Access
Bladex Professional Fees 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=professional-fees&ticker=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();