Trustmark (TRMK) Mortgage Banking (2009 - 2026)
Trustmark's Mortgage Banking came in at $8.91 million for Q2 2026, up 3.6% from $8.6 million a year earlier but down 0.2% from the prior quarter.
Trustmark (TRMK) Mortgage Banking (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Trustmark reported Mortgage Banking of $33.56 million, up 8.7% year-over-year; for FY2025, it came in at $33.08 million, up 24.2% from FY2024.
- Mortgage Banking carries a five-year compound annual growth rate of -23.4% (FY2020 to FY2025).
- Going back by year, Mortgage Banking was $26.63 million in FY2024 (+1.6%), $26.22 million in FY2023 (-7.4%), $28.31 million in FY2022 (-55.6%) and $63.75 million in FY2021 (-49.3%).
- The five-year range for quarterly Mortgage Banking is $3.41 million (Q4 2022) to $14 million (Q3 2021).
- Year-over-year, Mortgage Banking has increased for five consecutive quarters, with growth averaging 21.6% over the last eight quarters.
- The fastest year-over-year change in Mortgage Banking over five years came in Q2 2025 (growth of 104.6%), and the weakest in Q4 2022 (a decline of 70.6%).
- Business Quant data shows TRMK's Mortgage Banking at $8.93 million (Q1 2026), $7.53 million (Q4 2025) and $8.18 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 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 | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Trustmark | 2.63 Bn | 2.63 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.91 Mn |
| Mar 31, 2026 | 8.93 Mn |
| Dec 31, 2025 | 7.53 Mn |
| Sep 30, 2025 | 8.18 Mn |
| Jun 30, 2025 | 8.60 Mn |
| Mar 31, 2025 | 8.77 Mn |
| Dec 31, 2024 | 7.39 Mn |
| Sep 30, 2024 | 6.12 Mn |
| Jun 30, 2024 | 4.20 Mn |
| Mar 31, 2024 | 8.92 Mn |
| Dec 31, 2023 | 5.52 Mn |
| Sep 30, 2023 | 6.46 Mn |
| Jun 30, 2023 | 6.60 Mn |
| Mar 31, 2023 | 7.64 Mn |
| Dec 31, 2022 | 3.41 Mn |
| Sep 30, 2022 | 6.88 Mn |
| Jun 30, 2022 | 8.15 Mn |
| Mar 31, 2022 | 9.87 Mn |
| Dec 31, 2021 | 11.61 Mn |
| Sep 30, 2021 | 14.00 Mn |
Trustmark Mortgage Banking 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=mortgage-banking&ticker=TRMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "mortgage-banking", "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=mortgage-banking&ticker=TRMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();