Princeton Bancorp (BPRN) Professional Fees (2022 - 2026)
Princeton Bancorp (BPRN) reported Professional Fees of $786,000 for Q3 2026, down 26.3% from $1.07 million a year earlier and down 19.3% from the prior quarter.
Princeton Bancorp (BPRN) Professional Fees (2022 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Princeton Bancorp's Professional Fees came in at $3.31 million, down 1.0% year-over-year; for FY2025, it was $3.34 million, up 29.6% from FY2024.
- Professional Fees has a four-year compound annual growth rate of 8.2% (FY2021 to FY2025).
- By year, Professional Fees came in at $2.58 million in FY2024 (+25.0%), $2.06 million in FY2023 (-16.6%), $2.47 million in FY2022 (+1.6%) and $2.43 million in FY2021.
- Five-year quarterly Professional Fees spans a low of $425,000 in Q4 2023 and a high of $1.07 million in Q3 2025.
- Year over year, Professional Fees gained in five of the last eight quarters, with growth averaging 27.9%.
- The high point for year-over-year Professional Fees in five years was Q4 2024 (growth of 87.1%); the low point was Q3 2026 (a decline of 26.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $974,000 (Q2 2026), $760,000 (Q1 2026) and $789,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Princeton Bancorp | 303.50 Mn | -75.99 Mn | - | 786,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 786,000.00 |
| Jun 30, 2026 | 974,000.00 |
| Mar 31, 2026 | 760,000.00 |
| Dec 31, 2025 | 789,000.00 |
| Sep 30, 2025 | 1.07 Mn |
| Jun 30, 2025 | 721,000.00 |
| Mar 31, 2025 | 761,000.00 |
| Dec 31, 2024 | 795,000.00 |
| Sep 30, 2024 | 654,000.00 |
| Jun 30, 2024 | 602,000.00 |
| Mar 31, 2024 | 524,000.00 |
| Dec 31, 2023 | 425,000.00 |
| Sep 30, 2023 | 614,000.00 |
| Jun 30, 2023 | 556,000.00 |
| Mar 31, 2023 | 465,000.00 |
| Dec 31, 2022 | 541,000.00 |
| Sep 30, 2022 | 786,000.00 |
| Jun 30, 2022 | 582,000.00 |
| Mar 31, 2022 | 561,000.00 |
Princeton 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=BPRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "BPRN", "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=BPRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();