Bladex (BLX) Other Accumulated Expenses (2009 - 2026)
Bladex's Other Accumulated Expenses was $44.36 million in Q2 2026, down 0.5% from $44.58 million a year earlier but up 7.9% from the prior quarter.
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Analysis
Bladex (BLX) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Bladex came in at $36.07 million, down 26.6% from FY2024.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 78.8% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $49.18 million in FY2024 (-0.1%), $49.22 million in FY2023 (+235.5%), $14.67 million in FY2022 and $1.23 million in FY2021 (-37.8%).
- Quarterly Other Accumulated Expenses has moved between $1.23 million (Q4 2021) and $52.97 million (Q1 2024) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in three of the last eight quarters, with an average decline of 2.7%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q2 2022 (growth of 545.6%); the worst was Q4 2021 (a decline of 37.8%).
- Per Business Quant data, BLX's Other Accumulated Expenses in the three quarters before Q2 2026 was $41.13 million (Q1 2026), $36.07 million (Q4 2025) and $36.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Bladex | 2.04 Bn | -7.89 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.36 Mn |
| Mar 31, 2026 | 41.13 Mn |
| Dec 31, 2025 | 36.07 Mn |
| Sep 30, 2025 | 36.34 Mn |
| Jun 30, 2025 | 44.58 Mn |
| Mar 31, 2025 | 39.79 Mn |
| Dec 31, 2024 | 49.18 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 |
| Jun 30, 2021 | 3.84 Mn |
API Access
Bladex Other 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=other-accumulated-expenses&ticker=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();