Bladex (BLX) Occupancy Expense (2020)
Bladex's Occupancy Expense came in at $710.00 for Q1 2026, down 2.7% from $730.00 a year earlier and down 21.1% from the prior quarter.
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Analysis
Bladex (BLX) Occupancy Expense (2020) Analysis & Trends
For FY2025, Bladex's Occupancy Expense was $750.00, up 2.7% from FY2024.
- Occupancy Expense carries a five-year compound annual growth rate of -73.5% (FY2020 to FY2025).
- Going back by year, Occupancy Expense was $730.00 in FY2024 (-1.4%), $740.00 in FY2023 (+19.4%), $620.00 in FY2022 (+5.1%) and $590.00 in FY2021 (-99.9%).
- The five-year range for quarterly Occupancy Expense is -$20.00 (Q2 2025) to $900.00 (Q4 2025).
- Year-over-year, Occupancy Expense increased in three of the last five quarters, with growth averaging 3.2%.
- The fastest year-over-year change in Occupancy Expense over five years came in Q3 2023 (growth of 20.6%), and the weakest in Q2 2021 (a decline of 97.9%).
- Business Quant data shows BLX's Occupancy Expense at $900.00 (Q4 2025), -$10.00 (Q3 2025) and -$20.00 (Q2 2025) in the three quarters before Q1 2026.
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 | - |
API Access
Bladex Occupancy Expense 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=occupancy-expense&ticker=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "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=occupancy-expense&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();