Enterprise Financial Services (EFSC) Revenue (2009 - 2026)
Enterprise Financial Services' Revenue came in at $182.19 million for Q2 2026, up 5.1% from $173.37 million a year earlier but down 1.6% from the prior quarter.
Enterprise Financial Services (EFSC) Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Enterprise Financial Services reported Revenue of $767.93 million, up 14.4% year-over-year; for FY2025, it was $739.86 million, up 16.0% from FY2024.
- Revenue has increased in each of the last 11 years, with a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- Going back by year, Revenue was $637.8 million in FY2024 (+1.0%), $631.32 million in FY2023 (+18.4%), $533.07 million in FY2022 (+24.6%) and $427.94 million in FY2021 (+31.9%).
- The five-year range for quarterly Revenue is $114.89 million (Q3 2021) to $206.91 million (Q3 2025).
- Year-over-year, Revenue has increased for nine consecutive quarters, with growth averaging 11.0% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q3 2021 (growth of 51.2%), and the weakest in Q1 2024 (a decline of 4.2%).
- Business Quant data shows EFSC's Revenue at $185.24 million (Q1 2026), $193.59 million (Q4 2025) and $206.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 50.17 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 29.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 18.62 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 20.34 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 13.30 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 18.68 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 21.87 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 9.94 Bn |
| 10 | Enterprise Financial Services | 2.23 Bn | -4.32 Bn | - | 187.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 187.82 Mn |
| Jun 30, 2026 | 182.19 Mn |
| Mar 31, 2026 | 185.24 Mn |
| Dec 31, 2025 | 193.59 Mn |
| Sep 30, 2025 | 206.91 Mn |
| Jun 30, 2025 | 173.37 Mn |
| Mar 31, 2025 | 166.00 Mn |
| Dec 31, 2024 | 167.00 Mn |
| Sep 30, 2024 | 164.89 Mn |
| Jun 30, 2024 | 156.02 Mn |
| Mar 31, 2024 | 149.89 Mn |
| Dec 31, 2023 | 166.18 Mn |
| Sep 30, 2023 | 153.72 Mn |
| Jun 30, 2023 | 154.98 Mn |
| Mar 31, 2023 | 156.43 Mn |
| Dec 31, 2022 | 155.71 Mn |
| Sep 30, 2022 | 133.74 Mn |
| Jun 30, 2022 | 123.81 Mn |
| Mar 31, 2022 | 119.81 Mn |
| Dec 31, 2021 | 124.69 Mn |
Enterprise Financial Services Revenue 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=revenue&ticker=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();