Trustmark (TRMK) Cash from Operations (2009 - 2026)
Trustmark (TRMK) posted Cash from Operations of $56.77 million for Q2 2026, up 51.0% from $37.61 million a year earlier and up 109.5% from the prior quarter.
Trustmark (TRMK) Cash from Operations (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Trustmark was $207.75 million, down 25.5% year-over-year; for FY2025, it was $243.9 million, up 108.6% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- In prior years, Trustmark's Cash from Operations was $116.93 million in FY2024 (-40.6%), $196.89 million in FY2023 (-33.6%), $296.52 million in FY2022 (-15.0%) and $348.77 million in FY2021 (+433.7%).
- Quarterly Cash from Operations has run from a low of -$58.54 million in Q1 2024 to a high of $106.37 million in Q3 2023 over five years.
- On a year-over-year basis, Cash from Operations increased in four of the last seven quarters, with growth averaging 12.7%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q2 2025, with growth of 125.1%; the weakest was Q1 2023, with a decline of 95.9%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $27.1 million (Q1 2026), $57.64 million (Q4 2025) and $66.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 6.78 Bn |
| 10 | Trustmark | 2.63 Bn | 2.63 Bn | - | 56.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.77 Mn |
| Mar 31, 2026 | 27.10 Mn |
| Dec 31, 2025 | 57.64 Mn |
| Sep 30, 2025 | 66.24 Mn |
| Jun 30, 2025 | 37.61 Mn |
| Mar 31, 2025 | 82.42 Mn |
| Dec 31, 2024 | 99.26 Mn |
| Sep 30, 2024 | 59.50 Mn |
| Jun 30, 2024 | 16.71 Mn |
| Mar 31, 2024 | -58.54 Mn |
| Dec 31, 2023 | 64.19 Mn |
| Sep 30, 2023 | 106.37 Mn |
| Jun 30, 2023 | 23.78 Mn |
| Mar 31, 2023 | 2.56 Mn |
| Dec 31, 2022 | 68.05 Mn |
| Sep 30, 2022 | 77.80 Mn |
| Jun 30, 2022 | 88.80 Mn |
| Mar 31, 2022 | 61.87 Mn |
| Dec 31, 2021 | 101.57 Mn |
| Sep 30, 2021 | 59.08 Mn |
Trustmark Cash from Operations 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=cash-from-operations&ticker=TRMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=TRMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();