Ofg Bancorp (OFG) Provision for Losses (2010 - 2026)
Ofg Bancorp (OFG) posted Provision for Losses of $13.01 million for Q2 2026, down 40.0% from $21.68 million a year earlier and down 42.2% from the prior quarter.
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Analysis
Ofg Bancorp (OFG) Provision for Losses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Losses at Ofg Bancorp was $95.64 million, down 3.3% year-over-year; for FY2025, it was $107.51 million, up 30.7% from FY2024.
- Annual Provision for Losses has increased for three consecutive years, with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In prior years, Ofg Bancorp's Provision for Losses was $82.25 million in FY2024 (+35.6%), $60.64 million in FY2023 (+151.4%), $24.12 million in FY2022 and $221,000 in FY2021 (-99.8%).
- The Q2 2026 figure stands as the lowest quarterly Provision for Losses since Q1 2023.
- On a year-over-year basis, Provision for Losses increased in six of the last eight quarters, with growth averaging 22.2%.
- The strongest year-over-year quarter for Provision for Losses in the past five years was Q1 2023, with growth of 509.0%; the weakest was Q1 2022, with a decline of 75.5%.
- According to Business Quant data, Provision for Losses for the three prior quarters was $22.48 million (Q1 2026), $31.89 million (Q4 2025) and $28.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.30 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 717.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 985.00 Mn |
| 10 | Ofg Bancorp | 2.14 Bn | -846.10 Mn | - | 18.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.14 Mn |
| Jun 30, 2026 | 13.01 Mn |
| Mar 31, 2026 | 22.48 Mn |
| Dec 31, 2025 | 31.89 Mn |
| Sep 30, 2025 | 28.26 Mn |
| Jun 30, 2025 | 21.68 Mn |
| Mar 31, 2025 | 25.69 Mn |
| Dec 31, 2024 | 30.19 Mn |
| Sep 30, 2024 | 21.36 Mn |
| Jun 30, 2024 | 15.58 Mn |
| Mar 31, 2024 | 15.12 Mn |
| Dec 31, 2023 | 19.72 Mn |
| Sep 30, 2023 | 16.43 Mn |
| Jun 30, 2023 | 15.04 Mn |
| Mar 31, 2023 | 9.45 Mn |
| Dec 31, 2022 | 8.76 Mn |
| Sep 30, 2022 | 7.12 Mn |
| Jun 30, 2022 | 6.69 Mn |
| Mar 31, 2022 | 1.55 Mn |
| Dec 31, 2021 | 7.20 Mn |
API Access
Ofg Bancorp 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=OFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "OFG", "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=OFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();