Enterprise Financial Services (EFSC) Wages, Salaries and Other (2010 - 2026)
Enterprise Financial Services (EFSC) posted Wages, Salaries and Other of $53.11 million for Q2 2026, up 5.9% from $50.16 million a year earlier but down 4.7% from the prior quarter.
Enterprise Financial Services (EFSC) Wages, Salaries and Other (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Wages, Salaries and Other at Enterprise Financial Services was $209.17 million, up 9.3% year-over-year; for FY2025, it was $198.67 million, up 8.7% from FY2024.
- Annual Wages, Salaries and Other has increased for ten consecutive years, with a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- In prior years, Enterprise Financial Services' Wages, Salaries and Other was $182.71 million in FY2024 (+11.0%), $164.57 million in FY2023 (+11.9%), $147.03 million in FY2022 (+17.7%) and $124.9 million in FY2021 (+35.3%).
- Quarterly Wages, Salaries and Other has run from a low of $33.49 million in Q4 2021 to a high of $55.76 million in Q1 2026 over five years.
- On a year-over-year basis, Wages, Salaries and Other has increased in each of the last 25 quarters, with growth averaging 11.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Wages, Salaries and Other ranged from 3.9% (Q4 2023) to 53.0% (Q3 2021).
- According to Business Quant data, Wages, Salaries and Other for the three prior quarters was $55.76 million (Q1 2026), $50.65 million (Q4 2025) and $49.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | Enterprise Financial Services | 2.18 Bn | 2.18 Bn | - | 53.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.11 Mn |
| Mar 31, 2026 | 55.76 Mn |
| Dec 31, 2025 | 50.65 Mn |
| Sep 30, 2025 | 49.64 Mn |
| Jun 30, 2025 | 50.16 Mn |
| Mar 31, 2025 | 48.21 Mn |
| Dec 31, 2024 | 47.57 Mn |
| Sep 30, 2024 | 45.36 Mn |
| Jun 30, 2024 | 44.52 Mn |
| Mar 31, 2024 | 45.26 Mn |
| Dec 31, 2023 | 39.65 Mn |
| Sep 30, 2023 | 40.77 Mn |
| Jun 30, 2023 | 41.64 Mn |
| Mar 31, 2023 | 42.50 Mn |
| Dec 31, 2022 | 38.18 Mn |
| Sep 30, 2022 | 37.00 Mn |
| Jun 30, 2022 | 36.03 Mn |
| Mar 31, 2022 | 35.83 Mn |
| Dec 31, 2021 | 33.49 Mn |
| Sep 30, 2021 | 33.72 Mn |
Enterprise 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=EFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "EFSC", "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=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();