Bladex (BLX) Provision for Losses (2010 - 2025)
Bladex's Provision for Losses came in at $6.48 million for Q3 2025, up 82.7% from $3.55 million a year earlier and up 29.1% from the prior quarter.
Powered by 
Analysis
Bladex (BLX) Provision for Losses (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Bladex reported Provision for Losses of $20.76 million, down 10.6% year-over-year; for FY2024, it was $17.3 million, down 37.0% from FY2023.
- Going back by year, Provision for Losses was $27.46 million in FY2023 (+40.7%), $19.52 million in FY2022 (+738.5%), $2.33 million in FY2021 and -$1.46 million in FY2020.
- The Q3 2025 figure represents the highest quarterly Provision for Losses since Q2 2024.
- Year-over-year, Provision for Losses increased in four of the last eight quarters, with growth averaging 11.1%.
- The fastest year-over-year change in Provision for Losses over five years came in Q3 2022 (growth of 525.7%), and the weakest in Q4 2021 (a decline of 88.5%).
- Business Quant data shows BLX's Provision for Losses at $5.02 million (Q2 2025), $5.22 million (Q1 2025) and $4.04 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 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 | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 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 | 6.48 Mn |
| Jun 30, 2025 | 5.02 Mn |
| Mar 31, 2025 | 5.22 Mn |
| Dec 31, 2024 | 4.04 Mn |
| Sep 30, 2024 | 3.55 Mn |
| Jun 30, 2024 | 6.68 Mn |
| Mar 31, 2024 | 3.03 Mn |
| Dec 31, 2023 | 9.95 Mn |
| Sep 30, 2023 | 6.49 Mn |
| Jun 30, 2023 | 4.69 Mn |
| Mar 31, 2023 | 6.33 Mn |
| Dec 31, 2022 | 5.75 Mn |
| Sep 30, 2022 | 4.82 Mn |
| Jun 30, 2022 | 833,000.00 |
| Mar 31, 2022 | 8.11 Mn |
| Dec 31, 2021 | 200,000.00 |
| Sep 30, 2021 | -800,000.00 |
| Jun 30, 2021 | 1.38 Mn |
| Dec 31, 2020 | 300,000.00 |
| Sep 30, 2020 | 1.50 Mn |
API Access
Bladex Provision for Losses 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=provision-for-losses&ticker=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();