Worthington Steel (WS) Capital Expenditures (2022 - 2026)
Worthington Steel's Capital Expenditures came in at $63 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 114.3% from $29.4 million a year earlier and up 69.8% from the prior quarter.
Worthington Steel (WS) Capital Expenditures (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Worthington Steel reported Capital Expenditures of $154.8 million, up 11.9% year-over-year; for FY2026 (ended May 31, 2026), it came in at $121.2 million, down 7.1% from FY2025.
- Capital Expenditures carries a four-year compound annual growth rate of 35.1% (FY2022 to FY2026).
- Going back by fiscal year, Capital Expenditures was $130.4 million in FY2025 (+26.1%), $103.4 million in FY2024 (+127.3%), $45.5 million in FY2023 (+25.0%) and $36.4 million in FY2022.
- The fiscal Q1 2027 figure represents the highest quarterly Capital Expenditures in data going back to fiscal Q2 2023.
- Year-over-year, Capital Expenditures increased in six of the last eight quarters, with growth averaging 27.7%.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q4 2024 (growth of 392.3%), and the weakest in fiscal Q2 2026 (a decline of 29.0%).
- Business Quant data shows WS's Capital Expenditures at $37.1 million (Q4 2026), $30 million (Q3 2026) and $24.7 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 1.06 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 457.20 Mn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 903.00 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 275.00 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 109.00 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 256.00 Mn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 159.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 102.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 139.10 Mn |
| 10 | Worthington Steel | 1.97 Bn | 1.84 Bn | 261.20 Mn | 63.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 63.00 Mn |
| May 31, 2026 | 37.10 Mn |
| Feb 28, 2026 | 30.00 Mn |
| Nov 30, 2025 | 24.70 Mn |
| Aug 31, 2025 | 29.40 Mn |
| May 31, 2025 | 45.50 Mn |
| Feb 28, 2025 | 28.60 Mn |
| Nov 30, 2024 | 34.80 Mn |
| Aug 31, 2024 | 21.50 Mn |
| May 31, 2024 | 44.80 Mn |
| Feb 29, 2024 | 22.40 Mn |
| Nov 30, 2023 | 18.90 Mn |
| Aug 31, 2023 | 17.30 Mn |
| May 31, 2023 | 9.10 Mn |
| Feb 28, 2023 | 10.80 Mn |
| Nov 30, 2022 | 14.50 Mn |
Worthington Steel Capital Expenditures 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=capital-expenditures&ticker=WS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=WS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();