Worthington Enterprises (WOR) EBITDA (2009 - 2026)
Worthington Enterprises' EBITDA came in at $39.03 million for fiscal Q4 2026 (quarter ended May 31, 2026), compared with -$17.85 million a year earlier and down 15.3% from the prior quarter.
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Analysis
Worthington Enterprises (WOR) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Worthington Enterprises' EBITDA was $133.48 million, up 255.5% from FY2025.
- EBITDA carries a five-year compound annual growth rate of -12.2% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $37.55 million in FY2025 (+418.2%), $7.25 million in FY2024 (-94.9%), $142.62 million in FY2023 (-3.4%) and $147.62 million in FY2022 (-42.1%).
- The five-year range for quarterly EBITDA is -$186.83 million (fiscal Q4 2022) to $157.86 million (fiscal Q1 2022).
- Year-over-year, EBITDA increased in five of the last six quarters, with growth averaging 61.9%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q1 2026 (growth of 213.1%), and the weakest in fiscal Q2 2023 (a decline of 80.9%).
- Business Quant data shows WOR's EBITDA at $46.1 million (Q3 2026), $26.03 million (Q2 2026) and $22.33 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 601.28 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 290.40 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 401.20 Mn |
| 10 | Worthington Enterprises | 2.96 Bn | 2.58 Bn | 101.89 Mn | 39.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 39.03 Mn |
| Feb 28, 2026 | 46.10 Mn |
| Nov 30, 2025 | 26.03 Mn |
| Aug 31, 2025 | 22.33 Mn |
| May 31, 2025 | -17.85 Mn |
| Feb 28, 2025 | 32.82 Mn |
| Nov 30, 2024 | 15.45 Mn |
| Aug 31, 2024 | 7.13 Mn |
| May 31, 2024 | -43.63 Mn |
| Feb 29, 2024 | 16.23 Mn |
| Nov 30, 2023 | 13.64 Mn |
| Aug 31, 2023 | 21.00 Mn |
| May 31, 2023 | 43.59 Mn |
| Feb 28, 2023 | 32.15 Mn |
| Nov 30, 2022 | 21.34 Mn |
| Aug 31, 2022 | 94.72 Mn |
| May 31, 2022 | -186.83 Mn |
| Feb 28, 2022 | 65.04 Mn |
| Nov 30, 2021 | 111.56 Mn |
| Aug 31, 2021 | 157.86 Mn |
API Access
Worthington Enterprises EBITDA 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&ticker=WOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();