Trustmark (TRMK) Total Liabilities (2009 - 2026)
Trustmark (TRMK) posted Total Liabilities of $17.05 billion for Q2 2026, up 3.0% from $16.54 billion a year earlier and up 1.1% from the prior quarter.
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Analysis
Trustmark (TRMK) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Trustmark's Total Liabilities came in at $16.8 billion, up 3.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In prior years, Trustmark's Total Liabilities was $16.19 billion in FY2024 (-5.1%), $17.06 billion in FY2023 (+3.3%), $16.52 billion in FY2022 (+4.2%) and $15.85 billion in FY2021 (+7.0%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q4 2023.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with growth averaging 0.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2021, with growth of 12.6%; the weakest was Q4 2024, with a decline of 5.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $16.86 billion (Q1 2026), $16.8 billion (Q4 2025) and $16.69 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 2,099.88 Bn |
| 10 | Trustmark | 2.63 Bn | 2.63 Bn | - | 17.05 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.05 Bn |
| Mar 31, 2026 | 16.86 Bn |
| Dec 31, 2025 | 16.80 Bn |
| Sep 30, 2025 | 16.69 Bn |
| Jun 30, 2025 | 16.54 Bn |
| Mar 31, 2025 | 16.27 Bn |
| Dec 31, 2024 | 16.19 Bn |
| Sep 30, 2024 | 16.50 Bn |
| Jun 30, 2024 | 16.57 Bn |
| Mar 31, 2024 | 16.69 Bn |
| Dec 31, 2023 | 17.06 Bn |
| Sep 30, 2023 | 16.82 Bn |
| Jun 30, 2023 | 16.85 Bn |
| Mar 31, 2023 | 17.32 Bn |
| Dec 31, 2022 | 16.52 Bn |
| Sep 30, 2022 | 15.68 Bn |
| Jun 30, 2022 | 15.36 Bn |
| Mar 31, 2022 | 15.81 Bn |
| Dec 31, 2021 | 15.85 Bn |
| Sep 30, 2021 | 15.60 Bn |
API Access
Trustmark Total Liabilities 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=total-liabilities&ticker=TRMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TRMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();