Wesbanco (WSBC) Return on Sales [ROS] (2010 - 2026)
Wesbanco (WSBC) recorded Return on Sales [ROS] of 85.67% in Q2 2026, up 11.66 percentage points from 74.01% a year earlier but down 0.19 percentage points from the prior quarter.
Wesbanco (WSBC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Wesbanco's Return on Sales [ROS] came in at 87.06% as of Jun 30, 2026, up 5.71 percentage points year-over-year; for FY2025, it was 81.53%, down 9.20 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -704.03 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 90.73% in FY2024 (+18.09 pp), 72.64% in FY2023 (+26.16 pp), 46.47% in FY2022 (-9.20 pp) and 55.68% in FY2021 (-729.88 pp).
- Quarterly Return on Sales [ROS] has ranged from 42.32% in Q1 2022 to 839.10% in Q3 2021 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of +2.22 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 30.51 percentage points in Q1 2024, against a drop of 1309.61 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 85.87% (Q1 2026), 88.29% (Q4 2025) and 88.43% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | Wesbanco | 3.61 Bn | -300.54 Mn | - | 85.67% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.67% |
| Mar 31, 2026 | 85.87% |
| Dec 31, 2025 | 88.29% |
| Sep 30, 2025 | 88.43% |
| Jun 30, 2025 | 74.01% |
| Mar 31, 2025 | 68.42% |
| Dec 31, 2024 | 91.40% |
| Sep 30, 2024 | 94.11% |
| Jun 30, 2024 | 88.36% |
| Mar 31, 2024 | 88.74% |
| Dec 31, 2023 | 79.20% |
| Sep 30, 2023 | 74.18% |
| Jun 30, 2023 | 70.68% |
| Mar 31, 2023 | 58.23% |
| Dec 31, 2022 | 52.72% |
| Sep 30, 2022 | 47.82% |
| Jun 30, 2022 | 42.54% |
| Mar 31, 2022 | 42.32% |
| Dec 31, 2021 | 50.46% |
| Sep 30, 2021 | 839.10% |
Wesbanco 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=WSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "WSBC", "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=WSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();