Simmons First National (SFNC) Return on Sales [ROS] (2009 - 2026)
Simmons First National's Return on Sales [ROS] came in at 76.62% for Q2 2026, down 19.96 percentage points from 96.58% a year earlier and down 2.40 percentage points from the prior quarter.
Simmons First National (SFNC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Simmons First National reported Return on Sales [ROS] of -6.69%, down 106.64 percentage points year-over-year; for FY2025, it was -2.20%, down 112.42 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -52.20 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 110.22% in FY2024 (+15.81 pp), 94.41% in FY2023 (+43.59 pp), 50.82% in FY2022 (-1.77 pp) and 52.59% in FY2021 (+2.59 pp).
- The five-year range for quarterly Return on Sales [ROS] is 12.41% (Q3 2025) to 115.58% (Q3 2024).
- Year-over-year, Return on Sales [ROS] has declined for seven consecutive quarters, with an average year-over-year change of -23.41 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 73.12 percentage points), and the weakest in Q3 2025 (a drop of 103.16 percentage points).
- Business Quant data shows SFNC's Return on Sales [ROS] at 79.02% (Q1 2026), 82.03% (Q4 2025) and 12.41% (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 | Simmons First National | 3.42 Bn | 765.02 Mn | - | 64.51% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 64.51% |
| Jun 30, 2026 | 76.62% |
| Mar 31, 2026 | 79.02% |
| Dec 31, 2025 | 82.03% |
| Sep 30, 2025 | 12.41% |
| Jun 30, 2025 | 96.58% |
| Mar 31, 2025 | 87.14% |
| Dec 31, 2024 | 103.16% |
| Sep 30, 2024 | 115.58% |
| Jun 30, 2024 | 112.57% |
| Mar 31, 2024 | 110.59% |
| Dec 31, 2023 | 105.47% |
| Sep 30, 2023 | 108.73% |
| Jun 30, 2023 | 97.23% |
| Mar 31, 2023 | 70.43% |
| Dec 31, 2022 | 70.11% |
| Sep 30, 2022 | 56.89% |
| Jun 30, 2022 | 24.11% |
| Mar 31, 2022 | 50.81% |
| Dec 31, 2021 | 38.58% |
Simmons First National 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=SFNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SFNC", "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=SFNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();