Trustmark (TRMK) Change in Net Loans (2009 - 2026)
Trustmark (TRMK) reported Change in Net Loans of $106.8 million for Q2 2026, down 53.2% from $227.96 million a year earlier and down 48.5% from the prior quarter.
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Analysis
Trustmark (TRMK) Change in Net Loans (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Trustmark's Change in Net Loans came in at $539.49 million, up 62.9% year-over-year; for FY2025, it was $609.54 million, up 175.8% from FY2024.
- Change in Net Loans has a five-year compound annual growth rate of -9.9% (FY2020 to FY2025).
- By year, Change in Net Loans came in at $220.97 million in FY2024 (-71.0%), $761.93 million in FY2023 (-60.4%), $1.93 billion in FY2022 (+873.4%) and $197.8 million in FY2021 (-80.8%).
- Five-year quarterly Change in Net Loans spans a low of -$99.75 million in Q3 2021 and a high of $635.46 million in Q3 2022.
- Year over year, Change in Net Loans gained in three of the last four quarters, with growth averaging 14.7%.
- The high point for year-over-year Change in Net Loans in five years was Q4 2022 (growth of 927.1%); the low point was Q2 2023 (a decline of 78.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $207.45 million (Q1 2026), $136.06 million (Q4 2025) and $89.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (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 | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 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 | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Trustmark | 2.61 Bn | 2.61 Bn | - | 106.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.80 Mn |
| Mar 31, 2026 | 207.45 Mn |
| Dec 31, 2025 | 136.06 Mn |
| Sep 30, 2025 | 89.18 Mn |
| Jun 30, 2025 | 227.96 Mn |
| Mar 31, 2025 | 156.34 Mn |
| Dec 31, 2024 | -2.89 Mn |
| Sep 30, 2024 | -50.28 Mn |
| Jun 30, 2024 | 160.05 Mn |
| Mar 31, 2024 | 114.10 Mn |
| Dec 31, 2023 | 144.32 Mn |
| Sep 30, 2023 | 204.75 Mn |
| Jun 30, 2023 | 117.63 Mn |
| Mar 31, 2023 | 295.24 Mn |
| Dec 31, 2022 | 615.02 Mn |
| Sep 30, 2022 | 635.46 Mn |
| Jun 30, 2022 | 540.40 Mn |
| Mar 31, 2022 | 134.45 Mn |
| Dec 31, 2021 | 59.88 Mn |
| Sep 30, 2021 | -99.75 Mn |
API Access
Trustmark Change in Net Loans 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=change-in-net-loans&ticker=TRMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=TRMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();