Enterprise Financial Services (EFSC) EBITDA Margin (2009 - 2026)
Enterprise Financial Services' EBITDA Margin came in at 63.77% for Q2 2026, down 12.90 percentage points from 76.67% a year earlier and down 3.85 percentage points from the prior quarter.
Enterprise Financial Services (EFSC) EBITDA Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Enterprise Financial Services reported EBITDA Margin of 69.92%, down 9.05 percentage points year-over-year; for FY2025, it came in at 75.14%, down 6.89 percentage points from FY2024.
- EBITDA Margin carries a five-year change of +32.44 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was 82.03% in FY2024 (+9.40 pp), 72.63% in FY2023 (+14.18 pp), 58.46% in FY2022 (+10.90 pp) and 47.56% in FY2021 (+4.86 pp).
- The Q2 2026 figure represents the lowest quarterly EBITDA Margin since Q4 2022.
- Year-over-year, EBITDA Margin has declined for six consecutive quarters, with an average year-over-year change of -4.87 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q3 2022 (a gain of 34.74 percentage points), and the weakest in Q3 2021 (a drop of 19.27 percentage points).
- Business Quant data shows EFSC's EBITDA Margin at 67.62% (Q1 2026), 70.95% (Q4 2025) and 76.43% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 139.87% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Enterprise Financial Services | 2.23 Bn | -4.32 Bn | - | 65.45% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 65.45% |
| Jun 30, 2026 | 64.21% |
| Mar 31, 2026 | 67.96% |
| Dec 31, 2025 | 70.95% |
| Sep 30, 2025 | 76.94% |
| Jun 30, 2025 | 77.28% |
| Mar 31, 2025 | 77.41% |
| Dec 31, 2024 | 78.93% |
| Sep 30, 2024 | 84.25% |
| Jun 30, 2024 | 84.35% |
| Mar 31, 2024 | 82.70% |
| Dec 31, 2023 | 74.77% |
| Sep 30, 2023 | 78.33% |
| Jun 30, 2023 | 72.78% |
| Mar 31, 2023 | 67.05% |
| Dec 31, 2022 | 62.28% |
| Sep 30, 2022 | 58.81% |
| Jun 30, 2022 | 53.20% |
| Mar 31, 2022 | 58.28% |
| Dec 31, 2021 | 58.77% |
Enterprise Financial Services EBITDA Margin 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-margin&ticker=EFSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();