Enterprise Financial Services (EFSC) Professional Fees (2012 - 2026)
Enterprise Financial Services (EFSC) posted Professional Fees of $1.97 million for Q2 2026, down 3.2% from $2.03 million a year earlier but up 25.1% from the prior quarter.
Enterprise Financial Services (EFSC) Professional Fees (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Professional Fees at Enterprise Financial Services was $9.38 million, up 28.9% year-over-year; for FY2025, it came in at $9.61 million, up 53.5% from FY2024.
- Annual Professional Fees shows a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- In prior years, Enterprise Financial Services' Professional Fees was $6.26 million in FY2024 (+9.4%), $5.72 million in FY2023 (-19.2%), $7.08 million in FY2022 (+65.1%) and $4.29 million in FY2021 (+8.9%).
- Quarterly Professional Fees has run from a low of $901,000 in Q3 2021 to a high of $3.23 million in Q4 2025 over five years.
- On a year-over-year basis, Professional Fees increased in six of the last eight quarters, with growth averaging 35.3%.
- The strongest year-over-year quarter for Professional Fees in the past five years was Q4 2022, with growth of 151.2%; the weakest was Q4 2023, with a decline of 59.6%.
- According to Business Quant data, Professional Fees for the three prior quarters was $1.57 million (Q1 2026), $3.23 million (Q4 2025) and $2.62 million (Q3 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 | Enterprise Financial Services | 2.23 Bn | -4.32 Bn | - | 1.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.68 Mn |
| Jun 30, 2026 | 1.97 Mn |
| Mar 31, 2026 | 1.57 Mn |
| Dec 31, 2025 | 3.23 Mn |
| Sep 30, 2025 | 2.62 Mn |
| Jun 30, 2025 | 2.03 Mn |
| Mar 31, 2025 | 1.73 Mn |
| Dec 31, 2024 | 1.93 Mn |
| Sep 30, 2024 | 1.60 Mn |
| Jun 30, 2024 | 1.30 Mn |
| Mar 31, 2024 | 1.44 Mn |
| Dec 31, 2023 | 1.12 Mn |
| Sep 30, 2023 | 1.41 Mn |
| Jun 30, 2023 | 1.57 Mn |
| Mar 31, 2023 | 1.63 Mn |
| Dec 31, 2022 | 2.76 Mn |
| Sep 30, 2022 | 1.60 Mn |
| Jun 30, 2022 | 1.54 Mn |
| Mar 31, 2022 | 1.18 Mn |
| Dec 31, 2021 | 1.10 Mn |
Enterprise Financial Services 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=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "EFSC", "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=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();