Ofg Bancorp (OFG) Professional Fees (2010 - 2026)
Ofg Bancorp's Professional Fees was $4.84 million in Q2 2026, up 0.5% from $4.81 million a year earlier but down 22.1% from the prior quarter.
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Analysis
Ofg Bancorp (OFG) Professional Fees (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ofg Bancorp's Professional Fees was $24.83 million through Jun 30, 2026, up 26.1% year-over-year; for FY2025, it came in at $23.71 million, up 25.6% from FY2024.
- Professional Fees shows a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In earlier years, Professional Fees was $18.88 million in FY2024 (+0.6%), $18.76 million in FY2023 (-24.5%), $24.84 million in FY2022 (+23.7%) and $20.08 million in FY2021 (+17.2%).
- Quarterly Professional Fees has moved between $3.57 million (Q4 2023) and $8.44 million (Q4 2025) over five years.
- Compared with a year earlier, Professional Fees has increased for four straight quarters, with growth averaging 20.6% over the last eight quarters.
- The best year-over-year quarter for Professional Fees over five years was Q4 2025 (growth of 76.6%); the worst was Q4 2023 (a decline of 36.4%).
- Per Business Quant data, OFG's Professional Fees in the three quarters before Q2 2026 was $6.21 million (Q1 2026), $8.44 million (Q4 2025) and $5.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 3.90 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 606.00 Mn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 411.67 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 700.00 Mn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 424.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.17 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | - |
| 10 | Ofg Bancorp | 2.14 Bn | -846.10 Mn | - | 4.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.34 Mn |
| Jun 30, 2026 | 4.84 Mn |
| Mar 31, 2026 | 6.21 Mn |
| Dec 31, 2025 | 8.44 Mn |
| Sep 30, 2025 | 5.34 Mn |
| Jun 30, 2025 | 4.81 Mn |
| Mar 31, 2025 | 5.12 Mn |
| Dec 31, 2024 | 4.78 Mn |
| Sep 30, 2024 | 4.98 Mn |
| Jun 30, 2024 | 5.12 Mn |
| Mar 31, 2024 | 4.00 Mn |
| Dec 31, 2023 | 3.57 Mn |
| Sep 30, 2023 | 4.81 Mn |
| Jun 30, 2023 | 5.32 Mn |
| Mar 31, 2023 | 5.06 Mn |
| Dec 31, 2022 | 5.62 Mn |
| Sep 30, 2022 | 6.44 Mn |
| Jun 30, 2022 | 7.36 Mn |
| Mar 31, 2022 | 5.42 Mn |
| Dec 31, 2021 | 5.14 Mn |
API Access
Ofg Bancorp Professional Fees 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=professional-fees&ticker=OFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=OFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();