Enterprise Financial Services (EFSC) EBIT (2009 - 2026)
Enterprise Financial Services (EFSC) reported EBIT of $112.84 million for Q2 2026, down 13.5% from $130.4 million a year earlier and down 7.4% from the prior quarter.
Enterprise Financial Services (EFSC) EBIT (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Enterprise Financial Services' EBIT came in at $524.34 million, up 0.6% year-over-year; for FY2025, it was $545.39 million, up 6.1% from FY2024.
- EBIT has increased for five consecutive years, with a five-year compound annual growth rate of 33.9% (FY2020 to FY2025).
- By year, EBIT came in at $514.2 million in FY2024 (+14.6%), $448.85 million in FY2023 (+49.3%), $300.64 million in FY2022 (+56.9%) and $191.67 million in FY2021 (+51.2%).
- The Q2 2026 figure ranks as the lowest quarterly EBIT since Q2 2023.
- Year over year, EBIT gained in six of the last eight quarters, with growth averaging 3.8%.
- The high point for year-over-year EBIT in five years was Q3 2022 (growth of 211.3%); the low point was Q3 2021 (a decline of 18.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $121.8 million (Q1 2026), $133.92 million (Q4 2025) and $155.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 46.15 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 26.78 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.97 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 19.42 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 18.35 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 26.03 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 18.49 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.11 Bn |
| 10 | Enterprise Financial Services | 2.23 Bn | -4.32 Bn | - | 118.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 118.69 Mn |
| Jun 30, 2026 | 112.84 Mn |
| Mar 31, 2026 | 121.80 Mn |
| Dec 31, 2025 | 133.92 Mn |
| Sep 30, 2025 | 155.78 Mn |
| Jun 30, 2025 | 130.40 Mn |
| Mar 31, 2025 | 125.30 Mn |
| Dec 31, 2024 | 129.66 Mn |
| Sep 30, 2024 | 135.62 Mn |
| Jun 30, 2024 | 128.30 Mn |
| Mar 31, 2024 | 120.62 Mn |
| Dec 31, 2023 | 121.88 Mn |
| Sep 30, 2023 | 116.32 Mn |
| Jun 30, 2023 | 109.89 Mn |
| Mar 31, 2023 | 100.77 Mn |
| Dec 31, 2022 | 94.34 Mn |
| Sep 30, 2022 | 75.63 Mn |
| Jun 30, 2022 | 64.18 Mn |
| Mar 31, 2022 | 66.49 Mn |
| Dec 31, 2021 | 70.24 Mn |
Enterprise Financial Services EBIT 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=ebit&ticker=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();