First Bancorp (FBP) Professional Fees (2010 - 2026)
First Bancorp's Professional Fees came in at $13.12 million for Q2 2026, up 13.0% from $11.61 million a year earlier and up 1.6% from the prior quarter.
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Analysis
First Bancorp (FBP) Professional Fees (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, First Bancorp reported Professional Fees of $51.04 million, up 7.6% year-over-year; for FY2025, it came in at $48.11 million, down 2.7% from FY2024.
- Professional Fees carries a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- Going back by year, Professional Fees was $49.46 million in FY2024 (+7.9%), $45.84 million in FY2023 (-4.2%), $47.85 million in FY2022 (-20.2%) and $59.96 million in FY2021 (+13.9%).
- The Q2 2026 figure represents the highest quarterly Professional Fees since Q3 2021.
- Year-over-year, Professional Fees has increased for three consecutive quarters, with growth averaging 4.3% over the last eight quarters.
- The fastest year-over-year change in Professional Fees over five years came in Q3 2021 (growth of 17.2%), and the weakest in Q1 2022 (a decline of 40.2%).
- Business Quant data shows FBP's Professional Fees at $12.91 million (Q1 2026), $13.11 million (Q4 2025) and $11.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | First Bancorp | 4.01 Bn | -15.70 Bn | - | 13.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.12 Mn |
| Mar 31, 2026 | 12.91 Mn |
| Dec 31, 2025 | 13.11 Mn |
| Sep 30, 2025 | 11.90 Mn |
| Jun 30, 2025 | 11.61 Mn |
| Mar 31, 2025 | 11.49 Mn |
| Dec 31, 2024 | 11.81 Mn |
| Sep 30, 2024 | 12.54 Mn |
| Jun 30, 2024 | 12.43 Mn |
| Mar 31, 2024 | 12.68 Mn |
| Dec 31, 2023 | 11.25 Mn |
| Sep 30, 2023 | 11.02 Mn |
| Jun 30, 2023 | 11.60 Mn |
| Mar 31, 2023 | 11.97 Mn |
| Dec 31, 2022 | 12.67 Mn |
| Sep 30, 2022 | 12.55 Mn |
| Jun 30, 2022 | 12.04 Mn |
| Mar 31, 2022 | 10.59 Mn |
| Dec 31, 2021 | 11.94 Mn |
| Sep 30, 2021 | 13.55 Mn |
API Access
First 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=FBP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "FBP", "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=FBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();