Trustmark (TRMK) Accumulated Expenses (2010 - 2025)
Trustmark (TRMK) reported Accumulated Expenses of $3.39 million for Q4 2025, up 114.8% from $1.58 million a year earlier.
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Analysis
Trustmark (TRMK) Accumulated Expenses (2010 - 2025) Analysis & Trends
Dating back to Q4 2010, Trustmark's Accumulated Expenses record includes 16 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $1.58 million in FY2024 (+42.3%), $1.11 million in FY2023 (unchanged), $1.11 million in FY2022 (-6.4%) and $1.18 million in FY2021 (-27.4%).
- The Q4 2025 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Trustmark | 2.61 Bn | 2.61 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.39 Mn |
| Dec 31, 2024 | 1.58 Mn |
| Dec 31, 2023 | 1.11 Mn |
| Dec 31, 2022 | 1.11 Mn |
| Dec 31, 2021 | 1.18 Mn |
| Dec 31, 2020 | 1.63 Mn |
| Dec 31, 2019 | 864,000.00 |
| Dec 31, 2018 | 1.00 Mn |
| Dec 31, 2017 | 1.03 Mn |
| Dec 31, 2016 | 878,000.00 |
| Dec 31, 2015 | 718,000.00 |
| Dec 31, 2014 | 543,000.00 |
| Dec 31, 2013 | 2.76 Mn |
| Dec 31, 2012 | 835,000.00 |
| Dec 31, 2011 | 1.16 Mn |
| Dec 31, 2010 | 897,000.00 |
API Access
Trustmark Accumulated Expenses 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=accumulated-expenses&ticker=TRMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TRMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();