Enterprise Financial Services Corp (EFSC) Long-Term Debt Repayments (2010 - 2026)
Enterprise Financial Services (EFSC) posted Long-Term Debt Repayments of $54.71 million for Q2 2026, up 21.6% from $44.99 million a year earlier but down 17.3% from the prior quarter.
Enterprise Financial Services Corp (EFSC) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Enterprise Financial Services was $113.89 million, up 62.3% year-over-year; for FY2025, it was $63.25 million, up 453.4% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 71.3% (FY2020 to FY2025).
- In prior years, Enterprise Financial Services' Long-Term Debt Repayments was $11.43 million in FY2024 (+100.0%), $5.71 million in FY2023 (unchanged), $5.71 million in FY2022 (-88.6%) and $50 million in FY2021.
- Quarterly Long-Term Debt Repayments has run from a low of -$6.93 million in Q3 2025 to a high of $66.11 million in Q1 2026 over five years.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q1 2024, with growth of 699.8%; the weakest was Q4 2022, with a decline of 96.8%.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.18 Mn |
| Mar 31, 2026 | 68.37 Mn |
| Dec 31, 2025 | 2.26 Mn |
| Sep 30, 2025 | -4.67 Mn |
| Jun 30, 2025 | 44.99 Mn |
| Mar 31, 2025 | 25.19 Mn |
| Mar 31, 2024 | 11.43 Mn |
| Dec 31, 2023 | 1.43 Mn |
| Sep 30, 2023 | 1.43 Mn |
| Jun 30, 2023 | 1.43 Mn |
| Mar 31, 2023 | 1.43 Mn |
| Dec 31, 2022 | 1.43 Mn |
| Sep 30, 2022 | 1.43 Mn |
| Jun 30, 2022 | 1.43 Mn |
| Mar 31, 2022 | 1.43 Mn |
| Dec 31, 2021 | 51.43 Mn |
| Sep 30, 2021 | 1.43 Mn |
| Jun 30, 2021 | 1.43 Mn |
| Mar 31, 2021 | 2.86 Mn |
| Sep 30, 2020 | 1.43 Mn |
Enterprise Financial Services Corp Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();