Enterprise Financial Services (EFSC) Other Non-Current Liabilities (2010 - 2026)
Enterprise Financial Services' Other Non-Current Liabilities was $173.54 million in Q2 2026, down 0.6% from $174.6 million a year earlier and down 35.3% from the prior quarter.
Enterprise Financial Services (EFSC) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Enterprise Financial Services came in at $170.75 million, down 9.4% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $188.57 million in FY2024 (+9.4%), $172.34 million in FY2023 (+39.9%), $123.21 million in FY2022 (+16.6%) and $105.68 million in FY2021 (-20.2%).
- Quarterly Other Non-Current Liabilities has moved between $95.58 million (Q1 2022) and $268.12 million (Q1 2026) over five years.
- Compared with a year earlier, Other Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 11.4%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q1 2026 (growth of 70.8%); the worst was Q4 2021 (a decline of 20.2%).
- Per Business Quant data, EFSC's Other Non-Current Liabilities in the three quarters before Q2 2026 was $268.12 million (Q1 2026), $170.75 million (Q4 2025) and $184.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Enterprise Financial Services | 2.14 Bn | 2.14 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 173.54 Mn |
| Mar 31, 2026 | 268.12 Mn |
| Dec 31, 2025 | 170.75 Mn |
| Sep 30, 2025 | 184.54 Mn |
| Jun 30, 2025 | 174.60 Mn |
| Mar 31, 2025 | 156.96 Mn |
| Dec 31, 2024 | 188.57 Mn |
| Sep 30, 2024 | 179.57 Mn |
| Jun 30, 2024 | 165.48 Mn |
| Mar 31, 2024 | 151.54 Mn |
| Dec 31, 2023 | 172.34 Mn |
| Sep 30, 2023 | 165.04 Mn |
| Jun 30, 2023 | 127.97 Mn |
| Mar 31, 2023 | 109.47 Mn |
| Dec 31, 2022 | 123.21 Mn |
| Sep 30, 2022 | 138.26 Mn |
| Jun 30, 2022 | 112.62 Mn |
| Mar 31, 2022 | 95.58 Mn |
| Dec 31, 2021 | 105.68 Mn |
| Sep 30, 2021 | 122.73 Mn |
Enterprise Financial Services Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();