Enterprise Financial Services (EFSC) Total Debt (2009 - 2026)
Enterprise Financial Services (EFSC) posted Total Debt of $474.08 million for Q2 2026, up 29.0% from $367.44 million a year earlier and up 14.8% from the prior quarter.
Enterprise Financial Services (EFSC) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Enterprise Financial Services' Total Debt came in at $481.41 million, up 10.1% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- In prior years, Enterprise Financial Services' Total Debt was $437.37 million in FY2024 (-3.6%), $453.81 million in FY2023 (-21.7%), $579.55 million in FY2022 (+3.7%) and $558.76 million in FY2021 (-4.4%).
- Quarterly Total Debt has run from a low of $338.22 million in Q3 2023 to a high of $579.55 million in Q4 2022 over five years.
- On a year-over-year basis, Total Debt has increased in each of the last three quarters, with growth averaging 3.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was Q3 2024, with growth of 41.1%; the weakest was Q3 2022, with a decline of 29.2%.
- According to Business Quant data, Total Debt for the three prior quarters was $413.1 million (Q1 2026), $481.41 million (Q4 2025) and $340.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3,583.44 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 47.85 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 380.92 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 388.59 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 9.69 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 1,089.54 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1,617.57 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 112.96 Bn |
| 10 | Enterprise Financial Services | 2.23 Bn | -4.32 Bn | - | 500.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 500.53 Mn |
| Jun 30, 2026 | 680.66 Mn |
| Mar 31, 2026 | 411.69 Mn |
| Dec 31, 2025 | 481.41 Mn |
| Sep 30, 2025 | 663.44 Mn |
| Jun 30, 2025 | 658.39 Mn |
| Mar 31, 2025 | 615.44 Mn |
| Dec 31, 2024 | 437.37 Mn |
| Sep 30, 2024 | 477.22 Mn |
| Jun 30, 2024 | 412.53 Mn |
| Mar 31, 2024 | 476.37 Mn |
| Dec 31, 2023 | 453.81 Mn |
| Sep 30, 2023 | 338.22 Mn |
| Jun 30, 2023 | 505.10 Mn |
| Mar 31, 2023 | 469.06 Mn |
| Dec 31, 2022 | 579.55 Mn |
| Sep 30, 2022 | 352.72 Mn |
| Jun 30, 2022 | 431.86 Mn |
| Mar 31, 2022 | 433.88 Mn |
| Dec 31, 2021 | 558.76 Mn |
Enterprise Financial Services Total Debt 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=total-debt&ticker=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();