First Mid Bancshares (FMBH) Return on Sales [ROS] (2009 - 2026)
First Mid Bancshares' Return on Sales [ROS] came in at 65.94% for Q2 2026, down 2.28 percentage points from 68.22% a year earlier but up 0.39 percentage points from the prior quarter.
First Mid Bancshares (FMBH) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, First Mid Bancshares reported Return on Sales [ROS] of 66.07%, down 2.42 percentage points year-over-year; for FY2025, it came in at 66.97%, down 4.73 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +26.06 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 71.70% in FY2024 (+2.08 pp), 69.62% in FY2023 (+22.16 pp), 47.46% in FY2022 (+12.92 pp) and 34.54% in FY2021 (-6.36 pp).
- The five-year range for quarterly Return on Sales [ROS] is 38.53% (Q1 2022) to 74.04% (Q2 2024).
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -2.58 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 31.00 percentage points), and the weakest in Q3 2025 (a drop of 7.66 percentage points).
- Business Quant data shows FMBH's Return on Sales [ROS] at 65.56% (Q1 2026), 67.29% (Q4 2025) and 65.58% (Q3 2025) in the three quarters before Q2 2026.
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 Mid Bancshares | 1.36 Bn | -201.53 Mn | - | 74.37% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 74.37% |
| Jun 30, 2026 | 65.94% |
| Mar 31, 2026 | 65.56% |
| Dec 31, 2025 | 67.29% |
| Sep 30, 2025 | 65.58% |
| Jun 30, 2025 | 68.22% |
| Mar 31, 2025 | 66.81% |
| Dec 31, 2024 | 65.95% |
| Sep 30, 2024 | 73.24% |
| Jun 30, 2024 | 74.04% |
| Mar 31, 2024 | 73.98% |
| Dec 31, 2023 | 68.30% |
| Sep 30, 2023 | 68.69% |
| Jun 30, 2023 | 72.94% |
| Mar 31, 2023 | 69.12% |
| Dec 31, 2022 | 60.64% |
| Sep 30, 2022 | 48.97% |
| Jun 30, 2022 | 41.94% |
| Mar 31, 2022 | 38.53% |
| Dec 31, 2021 | 41.99% |
First Mid Bancshares 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=FMBH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FMBH", "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=FMBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();