Enterprise Financial Services (EFSC) Total Liabilities (2009 - 2026)
Enterprise Financial Services (EFSC) reported Total Liabilities of $15.88 billion for Q3 2026, up 10.1% from $14.42 billion a year earlier and up 3.4% from the prior quarter.
Enterprise Financial Services (EFSC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Enterprise Financial Services posted Total Liabilities of $15.26 billion, up 10.8% from FY2024.
- Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- By year, Total Liabilities came in at $13.77 billion in FY2024 (+7.6%), $12.8 billion in FY2023 (+11.0%), $11.53 billion in FY2022 (-4.0%) and $12.01 billion in FY2021 (+38.5%).
- The Q3 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year over year, Total Liabilities has now increased in each of the last 14 quarters, with growth averaging 9.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2021 (growth of 38.5%); the low point was Q1 2023 (a decline of 4.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $15.36 billion (Q2 2026), $15.21 billion (Q1 2026) and $15.26 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 3,248.55 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 2,055.50 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 2,075.41 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2,571.74 Bn |
| 10 | Enterprise Financial Services | 2.23 Bn | -4.32 Bn | - | 15.88 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.88 Bn |
| Jun 30, 2026 | 15.36 Bn |
| Mar 31, 2026 | 15.21 Bn |
| Dec 31, 2025 | 15.26 Bn |
| Sep 30, 2025 | 14.42 Bn |
| Jun 30, 2025 | 14.15 Bn |
| Mar 31, 2025 | 13.81 Bn |
| Dec 31, 2024 | 13.77 Bn |
| Sep 30, 2024 | 13.12 Bn |
| Jun 30, 2024 | 12.86 Bn |
| Mar 31, 2024 | 12.88 Bn |
| Dec 31, 2023 | 12.80 Bn |
| Sep 30, 2023 | 12.41 Bn |
| Jun 30, 2023 | 12.25 Bn |
| Mar 31, 2023 | 11.73 Bn |
| Dec 31, 2022 | 11.53 Bn |
| Sep 30, 2022 | 11.55 Bn |
| Jun 30, 2022 | 11.64 Bn |
| Mar 31, 2022 | 12.23 Bn |
| Dec 31, 2021 | 12.01 Bn |
Enterprise Financial Services Total 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=total-liabilities&ticker=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();