Ofg Bancorp (OFG) Operating Expenses (2010 - 2026)
Ofg Bancorp (OFG) recorded Operating Expenses of $96.27 million in Q3 2026, down 0.3% from $96.55 million a year earlier and down 6.4% from the prior quarter.
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Analysis
Ofg Bancorp (OFG) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Ofg Bancorp's Operating Expenses came in at $398.81 million as of Sep 30, 2026, up 3.7% year-over-year; for FY2025, it was $389.81 million, up 3.8% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $375.69 million in FY2024 (+3.4%), $363.37 million in FY2023 (+5.2%), $345.55 million in FY2022 (+6.1%) and $325.76 million in FY2021 (-5.7%).
- Quarterly Operating Expenses has ranged from $81.16 million in Q1 2022 to $105.01 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 3.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 11.2% in Q1 2023, against a decline of 2.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $102.83 million (Q2 2026), $94.7 million (Q1 2026) and $105.01 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 27.30 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 19.72 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 8.82 Bn |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 7.02 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 13.71 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 11.31 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 13.74 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 17.50 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 14.55 Bn |
| 10 | Ofg Bancorp | 2.14 Bn | -846.10 Mn | - | 96.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 96.27 Mn |
| Jun 30, 2026 | 102.83 Mn |
| Mar 31, 2026 | 94.70 Mn |
| Dec 31, 2025 | 105.01 Mn |
| Sep 30, 2025 | 96.55 Mn |
| Jun 30, 2025 | 94.80 Mn |
| Mar 31, 2025 | 93.45 Mn |
| Dec 31, 2024 | 99.72 Mn |
| Sep 30, 2024 | 91.60 Mn |
| Jun 30, 2024 | 92.96 Mn |
| Mar 31, 2024 | 91.41 Mn |
| Dec 31, 2023 | 94.10 Mn |
| Sep 30, 2023 | 90.16 Mn |
| Jun 30, 2023 | 88.89 Mn |
| Mar 31, 2023 | 90.22 Mn |
| Dec 31, 2022 | 91.64 Mn |
| Sep 30, 2022 | 87.49 Mn |
| Jun 30, 2022 | 85.26 Mn |
| Mar 31, 2022 | 81.16 Mn |
| Dec 31, 2021 | 86.49 Mn |
API Access
Ofg Bancorp Operating 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=operating-expenses&ticker=OFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=OFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();