Worthington Enterprises (WOR) Return on Sales [ROS] (2009 - 2026)
Worthington Enterprises (WOR) reported Return on Sales [ROS] of 6.23% for fiscal Q4 2026 (quarter ended May 31, 2026), up 15.80 percentage points from -9.56% a year earlier but down 2.10 percentage points from the prior quarter.
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Analysis
Worthington Enterprises (WOR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Worthington Enterprises posted Return on Sales [ROS] of 5.52%, up 6.45 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of +0.24 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at -0.93% in FY2025 (+4.97 pp), -5.90% in FY2024 (-8.00 pp), 2.10% in FY2023 (-1.62 pp) and 3.73% in FY2022 (-1.55 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -17.58% in fiscal Q4 2024 and a high of 12.22% in fiscal Q1 2022.
- Year over year, Return on Sales [ROS] has now increased in each of the last eight quarters, with an average year-over-year change of +5.59 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q1 2022 (a gain of 16.51 percentage points); the low point was fiscal Q4 2024 (a drop of 21.73 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 8.33% (Q3 2026), 3.75% (Q2 2026) and 3.04% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 14.92% |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 17.09% |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 12.99% |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 14.76% |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 23.59% |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 22.12% |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 22.45% |
| 10 | Worthington Enterprises | 2.95 Bn | 2.57 Bn | 101.89 Mn | 6.23% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 6.23% |
| Feb 28, 2026 | 8.33% |
| Nov 30, 2025 | 3.75% |
| Aug 31, 2025 | 3.04% |
| May 31, 2025 | -9.56% |
| Feb 28, 2025 | 6.85% |
| Nov 30, 2024 | 1.28% |
| Aug 31, 2024 | -1.83% |
| May 31, 2024 | -17.58% |
| Feb 29, 2024 | 1.35% |
| Nov 30, 2023 | -4.82% |
| Aug 31, 2023 | -2.35% |
| May 31, 2023 | 4.15% |
| Feb 28, 2023 | 1.16% |
| Nov 30, 2022 | -0.60% |
| Aug 31, 2022 | 4.74% |
| May 31, 2022 | 3.73% |
| Feb 28, 2022 | 2.73% |
| Nov 30, 2021 | 7.34% |
| Aug 31, 2021 | 12.22% |
API Access
Worthington Enterprises 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=WOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "WOR", "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=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();