Worthington Enterprises (WOR) Revenue (2009 - 2026)
Worthington Enterprises' Revenue was $371.46 million in fiscal Q4 2026 (quarter ended May 31, 2026), up 16.9% from $317.88 million a year earlier but down 1.9% from the prior quarter.
Worthington Enterprises (WOR) Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Revenue at Worthington Enterprises came in at $1.38 billion, up 19.7% from FY2025.
- Revenue shows a five-year compound annual growth rate of -15.3% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $1.15 billion in FY2025 (-7.4%), $1.25 billion in FY2024 (-12.2%), $1.42 billion in FY2023 (+8.3%) and $1.31 billion in FY2022 (-58.7%).
- Quarterly Revenue has moved between -$2.41 billion (fiscal Q4 2022) and $1.41 billion (fiscal Q1 2023) over five years.
- Compared with a year earlier, Revenue has increased for four straight quarters, with growth averaging 6.1% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was fiscal Q3 2022 (growth of 81.6%); the worst was fiscal Q1 2024 (a decline of 77.9%).
- Per Business Quant data, WOR's Revenue in the three fiscal quarters before Q4 2026 was $378.68 million (Q3 2026), $327.45 million (Q2 2026) and $303.71 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 6.35 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 6.61 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 3.27 Bn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 6.35 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 3.86 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 1.47 Bn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 1.99 Bn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 1.15 Bn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 1.57 Bn |
| 10 | Worthington Enterprises | 2.90 Bn | 2.52 Bn | 101.89 Mn | 371.46 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 371.46 Mn |
| Feb 28, 2026 | 378.68 Mn |
| Nov 30, 2025 | 327.45 Mn |
| Aug 31, 2025 | 303.71 Mn |
| May 31, 2025 | 317.88 Mn |
| Feb 28, 2025 | 304.52 Mn |
| Nov 30, 2024 | 274.05 Mn |
| Aug 31, 2024 | 257.31 Mn |
| May 31, 2024 | 318.80 Mn |
| Feb 29, 2024 | 316.76 Mn |
| Nov 30, 2023 | 298.23 Mn |
| Aug 31, 2023 | 311.92 Mn |
| May 31, 2023 | 368.80 Mn |
| Feb 28, 2023 | 346.32 Mn |
| Nov 30, 2022 | 1.18 Bn |
| Aug 31, 2022 | 1.41 Bn |
| May 31, 2022 | -2.41 Bn |
| Feb 28, 2022 | 1.38 Bn |
| Nov 30, 2021 | 1.23 Bn |
| Aug 31, 2021 | 1.11 Bn |
Worthington Enterprises Revenue 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=revenue&ticker=WOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();