Simmons First National (SFNC) Return on Sales [ROS] (2010 - 2026)
Simmons First National's Return on Sales [ROS] came in at 542.24% for Q2 2026, down 72.87 percentage points from 615.11% a year earlier and down 0.31 percentage points from the prior quarter.
Simmons First National (SFNC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Simmons First National reported Return on Sales [ROS] of -8.05%, down 604.15 percentage points year-over-year; for FY2025, it was -2.20%, down 645.74 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -317.97 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 643.54% in FY2024 (+54.18 pp), 589.37% in FY2023 (+236.39 pp), 352.98% in FY2022 (+41.20 pp) and 311.78% in FY2021 (-3.99 pp).
- The five-year range for quarterly Return on Sales [ROS] is -1694.34% (Q3 2025) to 672.44% (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 -327.22 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 438.36 percentage points), and the weakest in Q3 2025 (a drop of 2299.00 percentage points).
- Business Quant data shows SFNC's Return on Sales [ROS] at 542.55% (Q1 2026), 576.99% (Q4 2025) and -1694.34% (Q3 2025) in the three quarters before Q2 2026.
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 | Simmons First National | 3.31 Bn | 3.25 Bn | - | 542.24% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 542.24% |
| Mar 31, 2026 | 542.55% |
| Dec 31, 2025 | 576.99% |
| Sep 30, 2025 | -1,694.34% |
| Jun 30, 2025 | 615.11% |
| Mar 31, 2025 | 536.22% |
| Dec 31, 2024 | 628.68% |
| Sep 30, 2024 | 604.66% |
| Jun 30, 2024 | 672.44% |
| Mar 31, 2024 | 670.07% |
| Dec 31, 2023 | 581.17% |
| Sep 30, 2023 | 661.55% |
| Jun 30, 2023 | 613.97% |
| Mar 31, 2023 | 498.41% |
| Dec 31, 2022 | 536.65% |
| Sep 30, 2022 | 401.96% |
| Jun 30, 2022 | 175.61% |
| Mar 31, 2022 | 295.49% |
| Dec 31, 2021 | 225.17% |
| Sep 30, 2021 | 343.94% |
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();