Trustmark (TRMK) EBITDA (2009 - 2026)
Trustmark's EBITDA came in at $160.04 million for Q2 2026, up 1.7% from $157.44 million a year earlier and up 7.3% from the prior quarter.
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Analysis
Trustmark (TRMK) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Trustmark reported EBITDA of $627.92 million, down 1.3% year-over-year; for FY2025, it came in at $627.16 million, up 40.0% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- Going back by year, EBITDA was $448.03 million in FY2024 (-17.5%), $542.74 million in FY2023 (+271.5%), $146.11 million in FY2022 (-40.5%) and $245.39 million in FY2021 (-10.1%).
- The Q2 2026 figure represents the highest quarterly EBITDA since Q3 2024.
- Year-over-year, EBITDA increased in five of the last seven quarters, with growth averaging 4.0%.
- The fastest year-over-year change in EBITDA over five years came in Q1 2023 (growth of 164.0%), and the weakest in Q3 2021 (a decline of 47.1%).
- Business Quant data shows TRMK's EBITDA at $149.16 million (Q1 2026), $158.94 million (Q4 2025) and $159.78 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Trustmark | 2.63 Bn | 2.63 Bn | - | 160.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.04 Mn |
| Mar 31, 2026 | 149.16 Mn |
| Dec 31, 2025 | 158.94 Mn |
| Sep 30, 2025 | 159.78 Mn |
| Jun 30, 2025 | 157.44 Mn |
| Mar 31, 2025 | 151.00 Mn |
| Dec 31, 2024 | 158.47 Mn |
| Sep 30, 2024 | 169.05 Mn |
| Jun 30, 2024 | -30.07 Mn |
| Mar 31, 2024 | 150.58 Mn |
| Dec 31, 2023 | 146.22 Mn |
| Sep 30, 2023 | 136.41 Mn |
| Jun 30, 2023 | 135.06 Mn |
| Mar 31, 2023 | 128.61 Mn |
| Dec 31, 2022 | -26.78 Mn |
| Sep 30, 2022 | 68.41 Mn |
| Jun 30, 2022 | 55.77 Mn |
| Mar 31, 2022 | 48.72 Mn |
| Dec 31, 2021 | 47.72 Mn |
| Sep 30, 2021 | 43.74 Mn |
API Access
Trustmark EBITDA 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=ebitda&ticker=TRMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TRMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();