Worthington Steel (WS) Return on Sales [ROS] (2022 - 2026)
Worthington Steel's Return on Sales [ROS] was 2.05% in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 3.48 percentage points from 5.53% a year earlier but up 10.07 percentage points from the prior quarter.
Worthington Steel (WS) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Worthington Steel's Return on Sales [ROS] was 0.12% through Aug 31, 2026, down 4.73 percentage points year-over-year; for FY2026 (ended May 31, 2026), it came in at -0.04%, down 4.79 percentage points from FY2025.
- Return on Sales [ROS] shows a four-year change of -5.61 percentage points (FY2022 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 4.75% in FY2025 (-0.92 pp), 5.67% in FY2024 (+2.34 pp), 3.33% in FY2023 (-2.23 pp) and 5.57% in FY2022.
- Quarterly Return on Sales [ROS] has moved between -8.02% (fiscal Q4 2026) and 10.16% (fiscal Q4 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for four straight quarters, with an average year-over-year change of -2.85 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q3 2024 (a gain of 7.01 percentage points); the worst was fiscal Q4 2026 (a drop of 15.99 percentage points).
- Per Business Quant data, WS's Return on Sales [ROS] in the three fiscal quarters before Q1 2027 was -8.02% (Q4 2026), 0.40% (Q3 2026) and 2.49% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 316.37 Bn | 288.06 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 182.54 Bn | 177.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 174.00 Bn | 142.10 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 143.29 Bn | 140.47 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 111.15 Bn | 109.27 Bn | 2.25 Bn | 23.86% |
| 6 | Emerson Electric | 90.75 Bn | 83.49 Bn | 2.66 Bn | 26.92% |
| 7 | 3M | 90.56 Bn | 72.00 Bn | 2.78 Bn | 23.66% |
| 8 | Illinois Tool Works | 79.29 Bn | 75.85 Bn | 1.90 Bn | 26.67% |
| 9 | Vertiv Holdings | 75.18 Bn | 65.80 Bn | 1.23 Bn | 19.48% |
| 10 | Worthington Steel | 2.05 Bn | 1.54 Bn | 261.20 Mn | 2.05% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.05% |
| May 31, 2026 | -8.02% |
| Feb 28, 2026 | 0.40% |
| Nov 30, 2025 | 2.49% |
| Aug 31, 2025 | 5.53% |
| May 31, 2025 | 7.97% |
| Feb 28, 2025 | 2.66% |
| Nov 30, 2024 | 2.56% |
| Aug 31, 2024 | 5.20% |
| May 31, 2024 | 7.39% |
| Feb 29, 2024 | 8.23% |
| Nov 30, 2023 | -1.09% |
| Aug 31, 2023 | 7.69% |
| May 31, 2023 | 10.16% |
| Feb 28, 2023 | 1.22% |
| Nov 30, 2022 | -2.29% |
Worthington Steel 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=WS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "WS", "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=WS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();