Worthington Enterprises (WOR) Operating Expenses (2009 - 2026)
Worthington Enterprises (WOR) reported Operating Expenses of $77.88 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 6.6% from $73.04 million a year earlier but down 1.1% from the prior quarter.
Worthington Enterprises (WOR) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Worthington Enterprises' Operating Expenses came in at $306.9 million, up 7.8% year-over-year; for FY2026 (ended May 31, 2026), it came in at $302.07 million, up 8.3% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of -5.8% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $278.94 million in FY2025 (-10.8%), $312.8 million in FY2024 (+9.1%), $286.75 million in FY2023 (+2.8%) and $278.81 million in FY2022 (-31.5%).
- Five-year quarterly Operating Expenses spans a low of -$1.33 million in fiscal Q4 2022 and a high of $103.53 million in fiscal Q2 2023.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 1.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2024 (growth of 34.2%); the low point was fiscal Q2 2024 (a decline of 31.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $78.73 million (Q4 2026), $77.93 million (Q3 2026) and $72.37 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 5.49 Bn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 314.17 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 3.29 Bn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 283.90 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 381.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 263.60 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 198.00 Mn |
| 10 | Worthington Enterprises | 2.94 Bn | 2.67 Bn | 90.90 Mn | 77.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 77.88 Mn |
| May 31, 2026 | 78.73 Mn |
| Feb 28, 2026 | 77.93 Mn |
| Nov 30, 2025 | 72.37 Mn |
| Aug 31, 2025 | 73.04 Mn |
| May 31, 2025 | 72.83 Mn |
| Feb 28, 2025 | 68.38 Mn |
| Nov 30, 2024 | 70.54 Mn |
| Aug 31, 2024 | 67.19 Mn |
| May 31, 2024 | 101.83 Mn |
| Feb 29, 2024 | 65.83 Mn |
| Nov 30, 2023 | 70.59 Mn |
| Aug 31, 2023 | 74.54 Mn |
| May 31, 2023 | 75.90 Mn |
| Feb 28, 2023 | 72.18 Mn |
| Nov 30, 2022 | 103.53 Mn |
| Aug 31, 2022 | 102.35 Mn |
| May 31, 2022 | -1.33 Mn |
| Feb 28, 2022 | 102.44 Mn |
| Nov 30, 2021 | 94.13 Mn |
Worthington Enterprises Operating Expenses 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-expenses&ticker=WOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();