Bladex (BLX) Financial Services Fees (2009 - 2026)
Bladex (BLX) posted Financial Services Fees of $23.34 million for Q2 2026, up 17.2% from $19.91 million a year earlier and up 77.7% from the prior quarter.
Bladex (BLX) Financial Services Fees (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Financial Services Fees at Bladex was $64.98 million, up 22.9% year-over-year; for FY2025, it was $59.01 million, up 32.9% from FY2024.
- Annual Financial Services Fees has increased for five consecutive years, with a five-year compound annual growth rate of 41.5% (FY2020 to FY2025).
- In prior years, Bladex's Financial Services Fees was $44.4 million in FY2024 (+36.5%), $32.52 million in FY2023 (+64.3%), $19.79 million in FY2022 (+8.2%) and $18.3 million in FY2021 (+75.6%).
- The Q2 2026 figure stands as the highest quarterly Financial Services Fees in data going back to Q1 2009.
- On a year-over-year basis, Financial Services Fees has increased in each of the last seven quarters, with growth averaging 22.5% over the last eight quarters.
- The strongest year-over-year quarter for Financial Services Fees in the past five years was Q3 2021, with growth of 150.2%; the weakest was Q4 2022, with a decline of 72.2%.
- According to Business Quant data, Financial Services Fees for the three prior quarters was $13.13 million (Q1 2026), $14.47 million (Q4 2025) and $14.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Bladex | 2.05 Bn | -7.89 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.34 Mn |
| Mar 31, 2026 | 13.13 Mn |
| Dec 31, 2025 | 14.47 Mn |
| Sep 30, 2025 | 14.05 Mn |
| Jun 30, 2025 | 19.91 Mn |
| Mar 31, 2025 | 10.58 Mn |
| Dec 31, 2024 | 11.91 Mn |
| Sep 30, 2024 | 10.49 Mn |
| Jun 30, 2024 | 12.53 Mn |
| Mar 31, 2024 | 9.47 Mn |
| Dec 31, 2023 | 10.09 Mn |
| Sep 30, 2023 | 11.11 Mn |
| Jun 30, 2023 | 6.51 Mn |
| Mar 31, 2023 | 4.81 Mn |
| Dec 31, 2022 | 5.29 Mn |
| Sep 30, 2022 | 6.28 Mn |
| Jun 30, 2022 | 6.51 Mn |
| Mar 31, 2022 | 4.81 Mn |
| Dec 31, 2021 | 19.04 Mn |
| Aug 31, 2021 | 2.34 Mn |
Bladex Financial Services 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=financial-services-fees&ticker=BLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-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=financial-services-fees&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();