Ofg Bancorp (OFG) Provision for Credit Losses (2010 - 2026)
Ofg Bancorp's Provision for Credit Losses was $18.14 million in Q3 2026, down 35.8% from $28.26 million a year earlier but up 38.6% from the prior quarter.
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Analysis
Ofg Bancorp (OFG) Provision for Credit Losses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ofg Bancorp's Provision for Credit Losses was $86.11 million through Sep 30, 2026, down 18.8% year-over-year; for FY2025, it was $107.51 million, up 30.2% from FY2024.
- Provision for Credit Losses has now increased for three consecutive years, with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Provision for Credit Losses was $82.55 million in FY2024 (+36.1%), $60.64 million in FY2023 (+151.4%), $24.12 million in FY2022 and $221,000 in FY2021 (-99.8%).
- Quarterly Provision for Credit Losses has moved between $1.55 million (Q1 2022) and $31.89 million (Q4 2025) over five years.
- Compared with a year earlier, Provision for Credit Losses has declined for three straight quarters, with growth averaging 13.9% over the last eight quarters.
- The best year-over-year quarter for Provision for Credit Losses over five years was Q1 2023 (growth of 509.0%); the worst was Q1 2022 (a decline of 75.5%).
- Per Business Quant data, OFG's Provision for Credit Losses in the three quarters before Q3 2026 was $13.09 million (Q2 2026), $22.99 million (Q1 2026) and $31.89 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.24 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 | - | 103.00 Mn |
| 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 | 13.09 Mn |
| Mar 31, 2026 | 22.99 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 | 30.49 Mn |
| Sep 30, 2024 | 21.36 Mn |
| Jun 30, 2024 | 15.75 Mn |
| Mar 31, 2024 | 15.27 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 Credit 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-credit-losses&ticker=OFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-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-credit-losses&ticker=OFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();