Southside Bancshares (SBSI) Return on Sales [ROS] (2009 - 2026)
Southside Bancshares (SBSI) posted Return on Sales [ROS] of 109.19% for Q3 2026, down 8.08 percentage points from 117.27% a year earlier and down 1.78 percentage points from the prior quarter.
Southside Bancshares (SBSI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Southside Bancshares was 108.70%, down 3.37 percentage points year-over-year; for FY2025, it came in at 111.64%, down 6.87 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +53.38 percentage points (FY2020 to FY2025).
- In prior years, Southside Bancshares' Return on Sales [ROS] was 118.51% in FY2024 (+20.51 pp), 98.00% in FY2023 (+34.70 pp), 63.30% in FY2022 (-2.53 pp) and 65.83% in FY2021 (+7.58 pp).
- Quarterly Return on Sales [ROS] has run from a low of 55.52% in Q1 2022 to a high of 123.48% in Q2 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -4.83 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2023, with a gain of 39.25 percentage points; the weakest was Q1 2022, with a drop of 21.41 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 110.97% (Q2 2026), 103.67% (Q1 2026) and 111.18% (Q4 2025).
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 | Southside Bancshares | 1.05 Bn | -562.60 Mn | - | 109.19% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 109.19% |
| Jun 30, 2026 | 110.97% |
| Mar 31, 2026 | 103.67% |
| Dec 31, 2025 | 111.18% |
| Sep 30, 2025 | 117.27% |
| Jun 30, 2025 | 106.65% |
| Mar 31, 2025 | 113.40% |
| Dec 31, 2024 | 112.79% |
| Sep 30, 2024 | 118.10% |
| Jun 30, 2024 | 123.48% |
| Mar 31, 2024 | 119.77% |
| Dec 31, 2023 | 112.27% |
| Sep 30, 2023 | 95.73% |
| Jun 30, 2023 | 106.73% |
| Mar 31, 2023 | 98.64% |
| Dec 31, 2022 | 83.90% |
| Sep 30, 2022 | 73.62% |
| Jun 30, 2022 | 68.50% |
| Mar 31, 2022 | 66.64% |
| Dec 31, 2021 | 74.44% |
Southside 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=SBSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SBSI", "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=SBSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();