Eagle Financial Services (EFSI) Depreciation and Depletion (2009 - 2026)
Eagle Financial Services' Depreciation and Depletion was $215,000 in Q2 2026, up 12.6% from $191,000 a year earlier and up 5.4% from the prior quarter.
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Analysis
Eagle Financial Services (EFSI) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Eagle Financial Services' Depreciation and Depletion was $810,000 through Jun 30, 2026, down 6.9% year-over-year; for FY2025, it came in at $780,000, down 20.3% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of -5.4% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $979,000 in FY2024 (-2.3%), $1 million in FY2023 (+2.3%), $979,000 in FY2022 (-1.7%) and $996,000 in FY2021 (-3.1%).
- The Q2 2026 figure marks the highest quarterly Depreciation and Depletion since Q4 2024.
- Compared with a year earlier, Depreciation and Depletion was higher in two of the last eight quarters, with an average decline of 9.6%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q2 2026 (growth of 12.6%); the worst was Q2 2025 (a decline of 23.6%).
- Per Business Quant data, EFSI's Depreciation and Depletion in the three quarters before Q2 2026 was $204,000 (Q1 2026), $198,000 (Q4 2025) and $193,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 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 | - | 243.13 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Eagle Financial Services | 248.41 Mn | -131.07 Mn | - | 219,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 219,000.00 |
| Jun 30, 2026 | 215,000.00 |
| Mar 31, 2026 | 204,000.00 |
| Dec 31, 2025 | 198,000.00 |
| Sep 30, 2025 | 193,000.00 |
| Jun 30, 2025 | 191,000.00 |
| Mar 31, 2025 | 198,000.00 |
| Dec 31, 2024 | 237,000.00 |
| Sep 30, 2024 | 244,000.00 |
| Jun 30, 2024 | 250,000.00 |
| Mar 31, 2024 | 248,000.00 |
| Dec 31, 2023 | 257,000.00 |
| Sep 30, 2023 | 253,000.00 |
| Jun 30, 2023 | 248,000.00 |
| Mar 31, 2023 | 244,000.00 |
| Dec 31, 2022 | 245,000.00 |
| Sep 30, 2022 | 243,000.00 |
| Jun 30, 2022 | 244,000.00 |
| Mar 31, 2022 | 247,000.00 |
| Dec 31, 2021 | 246,000.00 |
API Access
Eagle Financial Services Depreciation and Depletion 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=depreciation-and-depletion&ticker=EFSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=EFSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();