S&T Bancorp (STBA) Return on Sales [ROS] (2009 - 2026)
S&T Bancorp (STBA) reported Return on Sales [ROS] of 79.00% for Q2 2026, down 3.26 percentage points from 82.26% a year earlier and down 1.27 percentage points from the prior quarter.
S&T Bancorp (STBA) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, S&T Bancorp's Return on Sales [ROS] came in at 80.33%, down 8.08 percentage points year-over-year; for FY2025, it was 83.14%, down 6.96 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +64.83 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 90.10% in FY2024 (+14.60 pp), 75.50% in FY2023 (+23.66 pp), 51.84% in FY2022 (+8.17 pp) and 43.67% in FY2021 (+25.35 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 35.39% in Q4 2021 and a high of 91.79% in Q3 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last five quarters, with an average year-over-year change of -2.27 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2022 (a gain of 26.12 percentage points); the low point was Q4 2025 (a drop of 12.71 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 80.27% (Q1 2026), 78.42% (Q4 2025) and 83.70% (Q3 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 | S&T Bancorp | 1.81 Bn | -3.09 Bn | - | 81.05% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 81.05% |
| Jun 30, 2026 | 79.00% |
| Mar 31, 2026 | 80.27% |
| Dec 31, 2025 | 78.42% |
| Sep 30, 2025 | 83.70% |
| Jun 30, 2025 | 82.26% |
| Mar 31, 2025 | 88.77% |
| Dec 31, 2024 | 91.14% |
| Sep 30, 2024 | 91.79% |
| Jun 30, 2024 | 90.86% |
| Mar 31, 2024 | 86.64% |
| Dec 31, 2023 | 84.93% |
| Sep 30, 2023 | 77.18% |
| Jun 30, 2023 | 69.75% |
| Mar 31, 2023 | 70.08% |
| Dec 31, 2022 | 61.51% |
| Sep 30, 2022 | 53.23% |
| Jun 30, 2022 | 43.95% |
| Mar 31, 2022 | 46.33% |
| Dec 31, 2021 | 35.39% |
S&T Bancorp 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=STBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "STBA", "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=STBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();