Ofg Bancorp (OFG) Interest Expenses (2010 - 2026)
Ofg Bancorp's Interest Expenses came in at $39.85 million for Q2 2026, down 6.1% from $42.42 million a year earlier and down 1.1% from the prior quarter.
Ofg Bancorp (OFG) Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ofg Bancorp reported Interest Expenses of $170.06 million, up 3.2% year-over-year; for FY2025, it came in at $172.47 million, up 6.6% from FY2024.
- Interest Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $161.84 million in FY2024 (+83.9%), $88.01 million in FY2023 (+162.8%), $33.49 million in FY2022 (-19.9%) and $41.83 million in FY2021 (-35.6%).
- The Q2 2026 figure represents the lowest quarterly Interest Expenses since Q1 2024.
- Year-over-year, Interest Expenses increased in seven of the last eight quarters, with growth averaging 14.8%.
- The fastest year-over-year change in Interest Expenses over five years came in Q4 2023 (growth of 212.7%), and the weakest in Q4 2021 (a decline of 41.1%).
- Business Quant data shows OFG's Interest Expenses at $40.31 million (Q1 2026), $44.48 million (Q4 2025) and $45.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Ofg Bancorp | 2.12 Bn | -1.05 Bn | - | 39.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.85 Mn |
| Mar 31, 2026 | 40.31 Mn |
| Dec 31, 2025 | 44.48 Mn |
| Sep 30, 2025 | 45.42 Mn |
| Jun 30, 2025 | 42.42 Mn |
| Mar 31, 2025 | 40.15 Mn |
| Dec 31, 2024 | 41.03 Mn |
| Sep 30, 2024 | 41.16 Mn |
| Jun 30, 2024 | 40.33 Mn |
| Mar 31, 2024 | 39.32 Mn |
| Dec 31, 2023 | 32.66 Mn |
| Sep 30, 2023 | 23.92 Mn |
| Jun 30, 2023 | 18.34 Mn |
| Mar 31, 2023 | 13.09 Mn |
| Dec 31, 2022 | 10.45 Mn |
| Sep 30, 2022 | 8.17 Mn |
| Jun 30, 2022 | 7.13 Mn |
| Mar 31, 2022 | 7.76 Mn |
| Dec 31, 2021 | 8.41 Mn |
| Sep 30, 2021 | 9.43 Mn |
Ofg Bancorp Interest Expenses 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=interest-expenses&ticker=OFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=OFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();