First Merchants (FRME) Return on Sales [ROS] (2009 - 2026)
First Merchants (FRME) reported Return on Sales [ROS] of 76.31% for Q2 2026, down 22.18 percentage points from 98.49% a year earlier and down 2.83 percentage points from the prior quarter.
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Analysis
First Merchants (FRME) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, First Merchants' Return on Sales [ROS] came in at 87.43%, down 13.00 percentage points year-over-year; for FY2025, it was 97.73%, down 4.11 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +49.69 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 101.84% in FY2024 (+8.49 pp), 93.35% in FY2023 (+39.15 pp), 54.20% in FY2022 (+0.98 pp) and 53.22% in FY2021 (+5.18 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q4 2022.
- 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 -6.08 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 59.21 percentage points); the low point was Q2 2026 (a drop of 22.18 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 79.14% (Q1 2026), 95.18% (Q4 2025) and 100.34% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | First Merchants | 256.31 Mn | 256.31 Mn | - | 91.62% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 91.62% |
| Jun 30, 2026 | 76.31% |
| Mar 31, 2026 | 79.14% |
| Dec 31, 2025 | 95.18% |
| Sep 30, 2025 | 100.34% |
| Jun 30, 2025 | 98.49% |
| Mar 31, 2025 | 96.97% |
| Dec 31, 2024 | 99.88% |
| Sep 30, 2024 | 106.63% |
| Jun 30, 2024 | 94.93% |
| Mar 31, 2024 | 106.44% |
| Dec 31, 2023 | 98.29% |
| Sep 30, 2023 | 99.94% |
| Jun 30, 2023 | 94.48% |
| Mar 31, 2023 | 81.41% |
| Dec 31, 2022 | 72.46% |
| Sep 30, 2022 | 56.84% |
| Jun 30, 2022 | 35.27% |
| Mar 31, 2022 | 49.24% |
| Dec 31, 2021 | 49.88% |
API Access
First Merchants 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=FRME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FRME", "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=FRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();