ENB Financial (ENBP) Professional Fees (2009 - 2026)
ENB Financial's Professional Fees came in at $1.08 million for Q2 2026, up 33.2% from $811,000 a year earlier and up 13.0% from the prior quarter.
ENB Financial (ENBP) Professional Fees (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, ENB Financial reported Professional Fees of $3.82 million, up 13.3% year-over-year; for FY2025, it came in at $3.43 million, up 4.8% from FY2024.
- Professional Fees has increased in each of the last four years, with a four-year compound annual growth rate of 13.1% (FY2021 to FY2025).
- Going back by year, Professional Fees was $3.28 million in FY2024 (+2.5%), $3.2 million in FY2023 (+16.6%), $2.74 million in FY2022 (+30.7%) and $2.1 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Professional Fees in data going back to Q2 2010.
- Year-over-year, Professional Fees increased in five of the last eight quarters, with growth averaging 9.5%.
- The fastest year-over-year change in Professional Fees over five years came in Q4 2022 (growth of 44.2%), and the weakest in Q3 2024 (a decline of 9.9%).
- Business Quant data shows ENBP's Professional Fees at $956,000 (Q1 2026), $868,000 (Q4 2025) and $912,000 (Q3 2025) in the three quarters before Q2 2026.
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 | ENB Financial | 181.39 Mn | 181.39 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.08 Mn |
| Mar 31, 2026 | 956,000.00 |
| Dec 31, 2025 | 868,000.00 |
| Sep 30, 2025 | 912,000.00 |
| Jun 30, 2025 | 811,000.00 |
| Mar 31, 2025 | 843,000.00 |
| Dec 31, 2024 | 882,000.00 |
| Sep 30, 2024 | 831,000.00 |
| Jun 30, 2024 | 825,000.00 |
| Mar 31, 2024 | 711,000.00 |
| Dec 31, 2023 | 770,000.00 |
| Sep 30, 2023 | 922,000.00 |
| Jun 30, 2023 | 843,000.00 |
| Mar 31, 2023 | 663,000.00 |
| Dec 31, 2022 | 760,000.00 |
| Sep 30, 2022 | 720,000.00 |
| Jun 30, 2022 | 633,000.00 |
| Mar 31, 2022 | 630,000.00 |
| Dec 31, 2021 | 527,000.00 |
| Sep 30, 2021 | 535,000.00 |
ENB Financial 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=ENBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "ENBP", "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=ENBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();