Worthington Steel (WS) Operating Expenses (2022 - 2026)
Worthington Steel (WS) recorded Operating Expenses of $81.1 million in fiscal Q4 2026 (quarter ended May 31, 2026), up 33.8% from $60.6 million a year earlier and up 13.4% from the prior quarter.
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Analysis
Worthington Steel (WS) Operating Expenses (2022 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Worthington Steel reported Operating Expenses of $290.4 million, up 24.0% from FY2025.
- Annual Operating Expenses has increased for four straight fiscal years, with a four-year compound annual growth rate of 15.0% (FY2022 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $234.2 million in FY2025 (+4.4%), $224.4 million in FY2024 (+14.1%), $196.6 million in FY2023 (+18.6%) and $165.8 million in FY2022.
- The fiscal Q4 2026 figure is the highest quarterly Operating Expenses in data going back to fiscal Q2 2023.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 14.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 33.8% in fiscal Q4 2026, against a decline of 4.9% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $71.5 million (Q3 2026), $70.9 million (Q2 2026) and $66.9 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 5.52 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 490.50 Mn |
| 10 | Worthington Steel | 2.06 Bn | 1.72 Bn | 118.80 Mn | 81.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 81.10 Mn |
| Feb 28, 2026 | 71.50 Mn |
| Nov 30, 2025 | 70.90 Mn |
| Aug 31, 2025 | 66.90 Mn |
| May 31, 2025 | 60.60 Mn |
| Feb 28, 2025 | 55.50 Mn |
| Nov 30, 2024 | 61.10 Mn |
| Aug 31, 2024 | 57.00 Mn |
| May 31, 2024 | 63.70 Mn |
| Feb 29, 2024 | 52.80 Mn |
| Nov 30, 2023 | 54.10 Mn |
| Aug 31, 2023 | 53.80 Mn |
| May 31, 2023 | 53.10 Mn |
| Feb 28, 2023 | 49.70 Mn |
| Nov 30, 2022 | 46.40 Mn |
API Access
Worthington Steel 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=WS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WS", "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=WS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();