Embassy Bancorp (EMYB) Wages, Salaries and Other (2010 - 2026)
Embassy Bancorp (EMYB) posted Wages, Salaries and Other of $3.83 million for Q2 2026, unchanged from $3.83 million a year earlier and down 1.0% from the prior quarter.
Embassy Bancorp (EMYB) Wages, Salaries and Other (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Wages, Salaries and Other at Embassy Bancorp was $15.38 million, up 4.4% year-over-year; for FY2025, it came in at $15.1 million, up 6.0% from FY2024.
- Annual Wages, Salaries and Other has increased for ten consecutive years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In prior years, Embassy Bancorp's Wages, Salaries and Other was $14.25 million in FY2024 (+3.4%), $13.77 million in FY2023 (+2.8%), $13.4 million in FY2022 (+10.3%) and $12.15 million in FY2021 (+9.5%).
- Quarterly Wages, Salaries and Other has run from a low of $2.97 million in Q4 2023 to a high of $3.92 million in Q4 2025 over five years.
- On a year-over-year basis, Wages, Salaries and Other increased in seven of the last eight quarters, with growth averaging 7.5%.
- The strongest year-over-year quarter for Wages, Salaries and Other in the past five years was Q4 2024, with growth of 23.0%; the weakest was Q4 2023, with a decline of 13.8%.
- According to Business Quant data, Wages, Salaries and Other for the three prior quarters was $3.87 million (Q1 2026), $3.92 million (Q4 2025) and $3.77 million (Q3 2025).
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 | Embassy Bancorp | 157.67 Mn | 157.67 Mn | - | 3.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.83 Mn |
| Mar 31, 2026 | 3.87 Mn |
| Dec 31, 2025 | 3.92 Mn |
| Sep 30, 2025 | 3.77 Mn |
| Jun 30, 2025 | 3.83 Mn |
| Mar 31, 2025 | 3.59 Mn |
| Dec 31, 2024 | 3.65 Mn |
| Sep 30, 2024 | 3.67 Mn |
| Jun 30, 2024 | 3.48 Mn |
| Mar 31, 2024 | 3.45 Mn |
| Dec 31, 2023 | 2.97 Mn |
| Sep 30, 2023 | 3.49 Mn |
| Jun 30, 2023 | 3.59 Mn |
| Mar 31, 2023 | 3.73 Mn |
| Dec 31, 2022 | 3.44 Mn |
| Sep 30, 2022 | 3.38 Mn |
| Jun 30, 2022 | 3.33 Mn |
| Mar 31, 2022 | 3.26 Mn |
| Dec 31, 2021 | 3.27 Mn |
| Sep 30, 2021 | 3.04 Mn |
Embassy Bancorp 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=EMYB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "EMYB", "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=EMYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();