Enterprise Financial Services (EFSC) EBITDA (2010 - 2026)
Enterprise Financial Services (EFSC) posted EBITDA of $116.18 million for Q2 2026, down 12.6% from $132.92 million a year earlier and down 7.2% from the prior quarter.
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Analysis
Enterprise Financial Services (EFSC) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Enterprise Financial Services was $536.95 million, up 1.3% year-over-year; for FY2025, it was $555.9 million, up 6.3% from FY2024.
- Annual EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 32.0% (FY2020 to FY2025).
- In prior years, Enterprise Financial Services' EBITDA was $523.18 million in FY2024 (+14.1%), $458.54 million in FY2023 (+47.2%), $311.61 million in FY2022 (+53.1%) and $203.52 million in FY2021 (+46.9%).
- The Q2 2026 figure stands as the lowest quarterly EBITDA since Q2 2023.
- On a year-over-year basis, EBITDA increased in six of the last eight quarters, with growth averaging 4.0%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2022, with growth of 186.3%; the weakest was Q3 2021, with a decline of 16.4%.
- According to Business Quant data, EBITDA for the three prior quarters was $125.26 million (Q1 2026), $137.36 million (Q4 2025) and $158.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Enterprise Financial Services | 2.14 Bn | 2.14 Bn | - | 116.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.18 Mn |
| Mar 31, 2026 | 125.26 Mn |
| Dec 31, 2025 | 137.36 Mn |
| Sep 30, 2025 | 158.15 Mn |
| Jun 30, 2025 | 132.92 Mn |
| Mar 31, 2025 | 127.48 Mn |
| Dec 31, 2024 | 131.81 Mn |
| Sep 30, 2024 | 137.86 Mn |
| Jun 30, 2024 | 130.58 Mn |
| Mar 31, 2024 | 122.92 Mn |
| Dec 31, 2023 | 124.26 Mn |
| Sep 30, 2023 | 118.71 Mn |
| Jun 30, 2023 | 112.30 Mn |
| Mar 31, 2023 | 103.28 Mn |
| Dec 31, 2022 | 96.98 Mn |
| Sep 30, 2022 | 78.32 Mn |
| Jun 30, 2022 | 66.93 Mn |
| Mar 31, 2022 | 69.39 Mn |
| Dec 31, 2021 | 73.28 Mn |
| Sep 30, 2021 | 27.36 Mn |
API Access
Enterprise Financial Services EBITDA 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=ebitda&ticker=EFSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();