Worthington Steel (WS) Operating Margin (2022 - 2026)
Worthington Steel (WS) posted Operating Margin of 2.05% for 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) Operating Margin (2022 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, Operating Margin at Worthington Steel was 0.12%, 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.
- Annual Operating Margin shows a four-year change of -5.61 percentage points (FY2022 to FY2026).
- In prior fiscal years, Worthington Steel's Operating Margin 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 Operating Margin has run from a low of -8.02% in fiscal Q4 2026 to a high of 10.16% in fiscal Q4 2023 over five years.
- On a year-over-year basis, Operating Margin has declined in each of the last four quarters, with an average year-over-year change of -2.85 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was fiscal Q3 2024, with a gain of 7.01 percentage points; the weakest was fiscal Q4 2026, with a drop of 15.99 percentage points.
- According to Business Quant data, Operating Margin for the three prior fiscal quarters was -8.02% (Q4 2026), 0.40% (Q3 2026) and 2.49% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 25.88% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 22.81% |
| 10 | Worthington Steel | 1.97 Bn | 1.84 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 Operating Margin 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=operating-margin&ticker=WS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=WS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();