Eagle Financial Services (EFSI) Property, Plant & Equipment (Net) (2009 - 2026)
Eagle Financial Services' Property, Plant & Equipment (Net) was $14.95 million in Q3 2026, up 0.5% from $14.88 million a year earlier but down 0.1% from the prior quarter.
Eagle Financial Services (EFSI) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Eagle Financial Services came in at $14.91 million, up 4.0% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $14.34 million in FY2024 (-20.8%), $18.11 million in FY2023 (+0.2%), $18.06 million in FY2022 (-1.0%) and $18.25 million in FY2021 (-2.5%).
- Quarterly Property, Plant & Equipment (Net) has moved between $14.34 million (Q4 2024) and $18.42 million (Q3 2023) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for four straight quarters, with an average decline of 8.5% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2025 (growth of 4.0%); the worst was Q4 2024 (a decline of 20.8%).
- Per Business Quant data, EFSI's Property, Plant & Equipment (Net) in the three quarters before Q3 2026 was $14.97 million (Q2 2026), $14.91 million (Q1 2026) and $14.91 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 38.68 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 269.49 Mn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 13.91 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.96 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 11.69 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 8.82 Bn |
| 10 | Eagle Financial Services | 248.41 Mn | -131.07 Mn | - | 14.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.95 Mn |
| Jun 30, 2026 | 14.97 Mn |
| Mar 31, 2026 | 14.91 Mn |
| Dec 31, 2025 | 14.91 Mn |
| Sep 30, 2025 | 14.88 Mn |
| Jun 30, 2025 | 14.69 Mn |
| Mar 31, 2025 | 14.63 Mn |
| Dec 31, 2024 | 14.34 Mn |
| Sep 30, 2024 | 18.10 Mn |
| Jun 30, 2024 | 18.11 Mn |
| Mar 31, 2024 | 17.95 Mn |
| Dec 31, 2023 | 18.11 Mn |
| Sep 30, 2023 | 18.42 Mn |
| Jun 30, 2023 | 18.06 Mn |
| Mar 31, 2023 | 17.83 Mn |
| Dec 31, 2022 | 18.06 Mn |
| Sep 30, 2022 | 17.97 Mn |
| Jun 30, 2022 | 18.16 Mn |
| Mar 31, 2022 | 18.33 Mn |
| Dec 31, 2021 | 18.25 Mn |
Eagle Financial Services Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=EFSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=EFSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();