Eagle Financial Services (EFSI) Total Liabilities (2010 - 2026)
Eagle Financial Services' Total Liabilities was $1.68 billion in Q3 2026, down 4.1% from $1.75 billion a year earlier but up 1.3% from the prior quarter.
Eagle Financial Services (EFSI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Eagle Financial Services came in at $1.7 billion, down 2.7% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $1.75 billion in FY2024 (+1.7%), $1.72 billion in FY2023 (+13.3%), $1.51 billion in FY2022 (+27.0%) and $1.19 billion in FY2021 (+16.4%).
- Quarterly Total Liabilities has moved between $1.19 billion (Q4 2021) and $1.86 billion (Q2 2025) over five years.
- Compared with a year earlier, Total Liabilities has declined for five straight quarters, with an average decline of 1.0% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2023 (growth of 29.9%); the worst was Q2 2026 (a decline of 10.9%).
- Per Business Quant data, EFSI's Total Liabilities in the three quarters before Q3 2026 was $1.65 billion (Q2 2026), $1.65 billion (Q1 2026) and $1.7 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | 3,241.48 Bn |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 2,055.50 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 2,075.41 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | 2,532.15 Bn |
| 10 | Eagle Financial Services | 247.33 Mn | 247.33 Mn | - | 1.65 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.65 Bn |
| Mar 31, 2026 | 1.65 Bn |
| Dec 31, 2025 | 1.70 Bn |
| Sep 30, 2025 | 1.75 Bn |
| Jun 30, 2025 | 1.86 Bn |
| Mar 31, 2025 | 1.73 Bn |
| Dec 31, 2024 | 1.75 Bn |
| Sep 30, 2024 | 1.76 Bn |
| Jun 30, 2024 | 1.68 Bn |
| Mar 31, 2024 | 1.68 Bn |
| Dec 31, 2023 | 1.72 Bn |
| Sep 30, 2023 | 1.70 Bn |
| Jun 30, 2023 | 1.67 Bn |
| Mar 31, 2023 | 1.65 Bn |
| Dec 31, 2022 | 1.51 Bn |
| Sep 30, 2022 | 1.37 Bn |
| Jun 30, 2022 | 1.30 Bn |
| Mar 31, 2022 | 1.27 Bn |
| Dec 31, 2021 | 1.19 Bn |
| Sep 30, 2021 | 1.14 Bn |
Eagle 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=EFSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "EFSI", "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=EFSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();