S&T Bancorp (STBA) Return on Sales [ROS] (2010 - 2026)
S&T Bancorp (STBA) reported Return on Sales [ROS] of 662.60% for Q2 2026, down 39.77 percentage points from 702.37% a year earlier and down 29.00 percentage points from the prior quarter.
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Analysis
S&T Bancorp (STBA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, S&T Bancorp's Return on Sales [ROS] came in at 686.63%, down 39.03 percentage points year-over-year; for FY2025, it was 708.59%, down 30.56 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +547.87 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 739.15% in FY2024 (+80.10 pp), 659.05% in FY2023 (+259.70 pp), 399.35% in FY2022 (+74.99 pp) and 324.36% in FY2021 (+163.63 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q3 2023.
- Year over year, Return on Sales [ROS] has now declined in each of the last seven quarters, with an average year-over-year change of -18.91 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2023 (a gain of 314.11 percentage points); the low point was Q4 2021 (a drop of 108.67 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 691.60% (Q1 2026), 676.04% (Q4 2025) and 717.59% (Q3 2025).
Peer Set
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 | S&T Bancorp | 1.75 Bn | -3.18 Bn | - | 662.60% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 662.60% |
| Mar 31, 2026 | 691.60% |
| Dec 31, 2025 | 676.04% |
| Sep 30, 2025 | 717.59% |
| Jun 30, 2025 | 702.37% |
| Mar 31, 2025 | 740.84% |
| Dec 31, 2024 | 719.21% |
| Sep 30, 2024 | 740.70% |
| Jun 30, 2024 | 746.29% |
| Mar 31, 2024 | 751.35% |
| Dec 31, 2023 | 747.68% |
| Sep 30, 2023 | 653.79% |
| Jun 30, 2023 | 606.92% |
| Mar 31, 2023 | 627.11% |
| Dec 31, 2022 | 546.78% |
| Sep 30, 2022 | 426.09% |
| Jun 30, 2022 | 316.82% |
| Mar 31, 2022 | 313.00% |
| Dec 31, 2021 | 254.00% |
| Sep 30, 2021 | 309.09% |
API Access
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_KEYimport 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();