Eagle Bancorp (EGBN) Wages, Salaries and Other (2010 - 2026)
Eagle Bancorp's Wages, Salaries and Other came in at $23.37 million for Q2 2026, up 6.5% from $21.94 million a year earlier and up 0.5% from the prior quarter.
Eagle Bancorp (EGBN) Wages, Salaries and Other (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Eagle Bancorp reported Wages, Salaries and Other of $90.56 million, up 2.7% year-over-year; for FY2025, it was $87.86 million, up 0.1% from FY2024.
- Wages, Salaries and Other has increased in each of the last three years, with a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Going back by year, Wages, Salaries and Other was $87.77 million in FY2024 (+1.9%), $86.1 million in FY2023 (+2.4%), $84.05 million in FY2022 (-4.9%) and $88.4 million in FY2021 (+18.8%).
- The Q2 2026 figure represents the highest quarterly Wages, Salaries and Other since Q1 2023.
- Year-over-year, Wages, Salaries and Other has increased for three consecutive quarters, with growth averaging 4.5% over the last eight quarters.
- The fastest year-over-year change in Wages, Salaries and Other over five years came in Q1 2023 (growth of 42.0%), and the weakest in Q4 2023 (a decline of 22.3%).
- Business Quant data shows EGBN's Wages, Salaries and Other at $23.25 million (Q1 2026), $22.66 million (Q4 2025) and $21.29 million (Q3 2025) in the three quarters before Q2 2026.
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 Bancorp | 1.03 Bn | 1.03 Bn | - | 23.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.37 Mn |
| Mar 31, 2026 | 23.25 Mn |
| Dec 31, 2025 | 22.66 Mn |
| Sep 30, 2025 | 21.29 Mn |
| Jun 30, 2025 | 21.94 Mn |
| Mar 31, 2025 | 21.97 Mn |
| Dec 31, 2024 | 22.60 Mn |
| Sep 30, 2024 | 21.68 Mn |
| Jun 30, 2024 | 21.77 Mn |
| Mar 31, 2024 | 21.73 Mn |
| Dec 31, 2023 | 18.42 Mn |
| Sep 30, 2023 | 21.55 Mn |
| Jun 30, 2023 | 21.96 Mn |
| Mar 31, 2023 | 24.17 Mn |
| Dec 31, 2022 | 23.69 Mn |
| Sep 30, 2022 | 21.54 Mn |
| Jun 30, 2022 | 21.81 Mn |
| Mar 31, 2022 | 17.02 Mn |
| Dec 31, 2021 | 24.61 Mn |
| Sep 30, 2021 | 22.15 Mn |
Eagle 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=EGBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "EGBN", "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=EGBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();