Bladex (BLX) Accumulated Expenses (2009 - 2025)
Bladex (BLX) recorded Accumulated Expenses of $36.34 million in Q3 2025, down 9.2% from $40.04 million a year earlier and down 18.5% from the prior quarter.
Powered by 
Analysis
Bladex (BLX) Accumulated Expenses (2009 - 2025) Analysis & Trends
At the end of FY2024, Bladex reported Accumulated Expenses of $37.51 million, down 23.8% from FY2023.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 48.4% (FY2019 to FY2024).
- Across earlier years, Accumulated Expenses came in at $49.22 million in FY2023 (+235.5%), $14.67 million in FY2022, $1.23 million in FY2021 (-37.8%) and $1.98 million in FY2020 (-62.2%).
- The Q3 2025 figure is the lowest quarterly Accumulated Expenses since Q3 2023.
- On a year-over-year basis, Accumulated Expenses rose in five of the last eight quarters, with growth averaging 58.5%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 545.6% in Q2 2022, against a decline of 62.2% in Q4 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $44.58 million (Q2 2025), $39.79 million (Q1 2025) and $37.51 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 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 |
|---|---|
| Sep 30, 2025 | 36.34 Mn |
| Jun 30, 2025 | 44.58 Mn |
| Mar 31, 2025 | 39.79 Mn |
| Dec 31, 2024 | 37.51 Mn |
| Sep 30, 2024 | 40.04 Mn |
| Jun 30, 2024 | 37.31 Mn |
| Mar 31, 2024 | 52.97 Mn |
| Dec 31, 2023 | 49.22 Mn |
| Sep 30, 2023 | 34.28 Mn |
| Jun 30, 2023 | 24.78 Mn |
| Mar 31, 2023 | 17.44 Mn |
| Dec 31, 2022 | 14.67 Mn |
| Sep 30, 2022 | 9.82 Mn |
| Jun 30, 2022 | 24.78 Mn |
| Mar 31, 2022 | 17.44 Mn |
| Dec 31, 2021 | 1.23 Mn |
| Sep 30, 2021 | 3.03 Mn |
| Jun 30, 2021 | 3.84 Mn |
| Mar 31, 2021 | 2.85 Mn |
| Dec 31, 2020 | 1.98 Mn |
API Access
Bladex Accumulated Expenses 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=accumulated-expenses&ticker=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();