Worthington Enterprises (WOR) EBITDA Margin (2009 - 2026)
Worthington Enterprises' EBITDA Margin was 10.51% in fiscal Q4 2026 (quarter ended May 31, 2026), up 16.12 percentage points from -5.62% a year earlier but down 1.67 percentage points from the prior quarter.
Worthington Enterprises (WOR) EBITDA Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), EBITDA Margin at Worthington Enterprises came in at 9.66%, up 6.41 percentage points from FY2025.
- EBITDA Margin shows a five-year change of +1.62 percentage points (FY2021 to FY2026).
- In earlier fiscal years, EBITDA Margin was 3.25% in FY2025 (+2.67 pp), 0.58% in FY2024 (-9.47 pp), 10.05% in FY2023 (-1.22 pp) and 11.28% in FY2022 (+3.23 pp).
- Quarterly EBITDA Margin has moved between -13.68% (fiscal Q4 2024) and 14.21% (fiscal Q1 2022) over five years.
- Compared with a year earlier, EBITDA Margin has increased for seven straight quarters, with an average year-over-year change of +4.40 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q4 2026 (a gain of 16.12 percentage points); the worst was fiscal Q4 2024 (a drop of 25.50 percentage points).
- Per Business Quant data, WOR's EBITDA Margin in the three fiscal quarters before Q4 2026 was 12.17% (Q3 2026), 7.95% (Q2 2026) and 7.35% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 21.00% |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 17.37% |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 18.41% |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 17.93% |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 15.99% |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 26.21% |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 25.22% |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 25.55% |
| 10 | Worthington Enterprises | 2.96 Bn | 2.58 Bn | 101.89 Mn | 10.51% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 10.51% |
| Feb 28, 2026 | 12.17% |
| Nov 30, 2025 | 7.95% |
| Aug 31, 2025 | 7.35% |
| May 31, 2025 | -5.62% |
| Feb 28, 2025 | 10.78% |
| Nov 30, 2024 | 5.64% |
| Aug 31, 2024 | 2.77% |
| May 31, 2024 | -13.68% |
| Feb 29, 2024 | 5.12% |
| Nov 30, 2023 | 4.57% |
| Aug 31, 2023 | 6.73% |
| May 31, 2023 | 11.82% |
| Feb 28, 2023 | 9.28% |
| Nov 30, 2022 | 1.82% |
| Aug 31, 2022 | 6.72% |
| Feb 28, 2022 | 4.72% |
| Nov 30, 2021 | 9.05% |
| Aug 31, 2021 | 14.21% |
| May 31, 2021 | 13.54% |
Worthington Enterprises EBITDA 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=ebitda-margin&ticker=WOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();