Trustmark (TRMK) Wages, Salaries and Other (2009 - 2026)
Trustmark (TRMK) recorded Wages, Salaries and Other of $72.99 million in Q2 2026, up 6.9% from $68.3 million a year earlier but down 1.7% from the prior quarter.
Trustmark (TRMK) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
On a TTM basis, Trustmark's Wages, Salaries and Other came in at $293.82 million as of Jun 30, 2026, up 7.7% year-over-year; for FY2025, it came in at $283.38 million, up 6.4% from FY2024.
- Annual Wages, Salaries and Other has a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- Across earlier years, Wages, Salaries and Other came in at $266.24 million in FY2024 (-0.8%), $268.27 million in FY2023 (+5.5%), $254.25 million in FY2022 (-10.5%) and $284.16 million in FY2021 (+4.4%).
- Quarterly Wages, Salaries and Other has ranged from $40.28 million in Q4 2022 to $75.08 million in Q4 2025 over the past five years.
- On a year-over-year basis, Wages, Salaries and Other has increased for six consecutive quarters, with growth averaging 5.0% over the last eight quarters.
- Peak year-over-year performance for Wages, Salaries and Other in the last five years was growth of 72.1% in Q4 2023, against a decline of 41.0% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $74.24 million (Q1 2026), $75.08 million (Q4 2025) and $71.51 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 | Trustmark | 2.67 Bn | 2.67 Bn | - | 72.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.99 Mn |
| Mar 31, 2026 | 74.24 Mn |
| Dec 31, 2025 | 75.08 Mn |
| Sep 30, 2025 | 71.51 Mn |
| Jun 30, 2025 | 68.30 Mn |
| Mar 31, 2025 | 68.49 Mn |
| Dec 31, 2024 | 69.22 Mn |
| Sep 30, 2024 | 66.69 Mn |
| Jun 30, 2024 | 64.84 Mn |
| Mar 31, 2024 | 65.49 Mn |
| Dec 31, 2023 | 69.33 Mn |
| Sep 30, 2023 | 67.37 Mn |
| Jun 30, 2023 | 66.80 Mn |
| Mar 31, 2023 | 74.06 Mn |
| Dec 31, 2022 | 40.28 Mn |
| Sep 30, 2022 | 72.71 Mn |
| Jun 30, 2022 | 71.68 Mn |
| Mar 31, 2022 | 69.59 Mn |
| Dec 31, 2021 | 68.26 Mn |
| Sep 30, 2021 | 74.62 Mn |
Trustmark 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=TRMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "TRMK", "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=TRMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();