Trustmark (TRMK) Return on Sales [ROS] (2009 - 2026)
Trustmark (TRMK) reported Return on Sales [ROS] of 71.84% for Q2 2026, down 2.43 percentage points from 74.27% a year earlier but up 3.08 percentage points from the prior quarter.
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Analysis
Trustmark (TRMK) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Trustmark's Return on Sales [ROS] came in at 71.71%, down 4.74 percentage points year-over-year; for FY2025, it came in at 250.78%, up 73.76 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +108.74 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 177.03% in FY2024 (-114.78 pp), 291.81% in FY2023 (+156.58 pp), 135.22% in FY2022 (+5.23 pp) and 130.00% in FY2021 (-12.05 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -26.30% in Q4 2022 and a high of 82.87% in Q3 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of +6.09 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2023 (a gain of 60.71 percentage points); the low point was Q4 2022 (a drop of 50.61 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 68.76% (Q1 2026), 72.10% (Q4 2025) and 74.14% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Trustmark | 2.67 Bn | 2.67 Bn | - | 71.84% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.84% |
| Mar 31, 2026 | 68.76% |
| Dec 31, 2025 | 72.10% |
| Sep 30, 2025 | 74.14% |
| Jun 30, 2025 | 74.27% |
| Mar 31, 2025 | 73.17% |
| Dec 31, 2024 | 75.61% |
| Sep 30, 2024 | 82.87% |
| Jun 30, 2024 | 49.05% |
| Mar 31, 2024 | 82.48% |
| Dec 31, 2023 | 34.41% |
| Sep 30, 2023 | 72.18% |
| Jun 30, 2023 | 71.05% |
| Mar 31, 2023 | 64.00% |
| Dec 31, 2022 | -26.30% |
| Sep 30, 2022 | 31.13% |
| Jun 30, 2022 | 27.43% |
| Mar 31, 2022 | 24.94% |
| Dec 31, 2021 | 24.31% |
| Sep 30, 2021 | 20.88% |
API Access
Trustmark Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TRMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TRMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();