Eagle Financial Services (EFSI) Wages, Salaries and Other (2010 - 2026)
Eagle Financial Services (EFSI) recorded Wages, Salaries and Other of $9.21 million in Q2 2026, up 17.4% from $7.85 million a year earlier and up 11.9% from the prior quarter.
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Analysis
Eagle Financial Services (EFSI) Wages, Salaries and Other (2010 - 2026) Analysis & Trends
On a TTM basis, Eagle Financial Services' Wages, Salaries and Other came in at $35.62 million as of Jun 30, 2026, up 16.6% year-over-year; for FY2025, it was $33.2 million, up 10.5% from FY2024.
- Annual Wages, Salaries and Other has a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- Across earlier years, Wages, Salaries and Other came in at $30.06 million in FY2024 (-0.8%), $30.31 million in FY2023 (+17.8%), $25.73 million in FY2022 (+17.7%) and $21.85 million in FY2021 (+20.9%).
- Quarterly Wages, Salaries and Other has ranged from $5.88 million in Q4 2021 to $9.46 million in Q4 2025 over the past five years.
- On a year-over-year basis, Wages, Salaries and Other has increased for five consecutive quarters, with growth averaging 9.2% over the last eight quarters.
- Peak year-over-year performance for Wages, Salaries and Other in the last five years was growth of 26.4% in Q2 2023, against a decline of 2.8% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.23 million (Q1 2026), $9.46 million (Q4 2025) and $8.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 15.16 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 10.99 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 8.19 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 4.51 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 6.10 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 8.85 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 3.54 Bn |
| 10 | Eagle Financial Services | 253.97 Mn | 253.97 Mn | - | 9.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.21 Mn |
| Mar 31, 2026 | 8.23 Mn |
| Dec 31, 2025 | 9.46 Mn |
| Sep 30, 2025 | 8.72 Mn |
| Jun 30, 2025 | 7.85 Mn |
| Mar 31, 2025 | 7.18 Mn |
| Dec 31, 2024 | 7.97 Mn |
| Sep 30, 2024 | 7.55 Mn |
| Jun 30, 2024 | 7.35 Mn |
| Mar 31, 2024 | 7.19 Mn |
| Dec 31, 2023 | 7.85 Mn |
| Sep 30, 2023 | 7.60 Mn |
| Jun 30, 2023 | 7.56 Mn |
| Mar 31, 2023 | 7.30 Mn |
| Dec 31, 2022 | 6.86 Mn |
| Sep 30, 2022 | 6.94 Mn |
| Jun 30, 2022 | 5.98 Mn |
| Mar 31, 2022 | 5.95 Mn |
| Dec 31, 2021 | 5.88 Mn |
| Sep 30, 2021 | 5.95 Mn |
API Access
Eagle Financial Services Wages, Salaries and Other 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=wages-salaries-and-other&ticker=EFSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=EFSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();