Popular (BPOP) Loans - Loss Allowance (2024 - 2026)
Popular (BPOP) reported Loans - Loss Allowance of $784.83 million for Q2 2026, up 2.0% from $769.49 million a year earlier but down 4.7% from the prior quarter.
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Analysis
Popular (BPOP) Loans - Loss Allowance (2024 - 2026) Analysis & Trends
At the end of FY2025, Popular posted Loans - Loss Allowance of $808.06 million, up 8.3% from FY2024.
- By year, Loans - Loss Allowance came in at $746.02 million in FY2024.
- Five-year quarterly Loans - Loss Allowance spans a low of $746.02 million in Q4 2024 and a high of $823.73 million in Q1 2026.
- Year over year, Loans - Loss Allowance has now increased in each of the last three quarters.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 347,603.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 13.11 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 | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.91 Bn |
| 10 | Popular | 9.93 Bn | 9.82 Bn | - | 784.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 784.83 Mn |
| Mar 31, 2026 | 823.73 Mn |
| Dec 31, 2025 | 808.06 Mn |
| Jun 30, 2025 | 769.49 Mn |
| Mar 31, 2025 | 762.15 Mn |
| Dec 31, 2024 | 746.02 Mn |
API Access
Popular Loans - Loss Allowance 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=loans-loss-allowance&ticker=BPOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "ticker": "BPOP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=loans-loss-allowance&ticker=BPOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();