Worthington Steel (WS) Property, Plant & Equipment (Net) (2023 - 2026)
Worthington Steel (WS) posted Property, Plant & Equipment (Net) of $1.1 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 67.7% from $656 million a year earlier and up 69.5% from the prior quarter.
Worthington Steel (WS) Property, Plant & Equipment (Net) (2023 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Worthington Steel's Property, Plant & Equipment (Net) came in at $649.3 million, up 18.4% from FY2025.
- Annual Property, Plant & Equipment (Net) has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 16.1% (FY2023 to FY2026).
- In prior fiscal years, Worthington Steel's Property, Plant & Equipment (Net) was $548.2 million in FY2025 (+15.5%), $474.8 million in FY2024 (+14.6%) and $414.4 million in FY2023.
- The fiscal Q1 2027 figure stands as the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2023.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last eight quarters, with growth averaging 28.9% over the last eight quarters.
- The year-over-year growth in Property, Plant & Equipment (Net) has ranged between 14.6% (fiscal Q4 2024) and 67.7% (fiscal Q1 2027) over the last five years.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior fiscal quarters was $649.3 million (Q4 2026), $677.9 million (Q3 2026) and $663.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 315.73 Bn | 287.43 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 182.70 Bn | 177.41 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 174.18 Bn | 182.94 Bn | 4.66 Bn | - |
| 4 | Eaton | 142.17 Bn | 139.40 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 110.97 Bn | 109.10 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Emerson Electric | 90.14 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 7 | 3M | 89.64 Bn | 72.05 Bn | 2.78 Bn | 6.97 Bn |
| 8 | Illinois Tool Works | 78.53 Bn | 75.09 Bn | 1.90 Bn | 2.24 Bn |
| 9 | Vertiv Holdings | 74.79 Bn | 65.41 Bn | 1.23 Bn | 1.18 Bn |
| 10 | Worthington Steel | 2.09 Bn | 2.18 Bn | 261.20 Mn | 1.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.10 Bn |
| May 31, 2026 | 649.30 Mn |
| Feb 28, 2026 | 677.90 Mn |
| Nov 30, 2025 | 663.40 Mn |
| Aug 31, 2025 | 656.00 Mn |
| May 31, 2025 | 548.20 Mn |
| Feb 28, 2025 | 516.70 Mn |
| Nov 30, 2024 | 505.20 Mn |
| Aug 31, 2024 | 486.60 Mn |
| May 31, 2024 | 474.80 Mn |
| Feb 29, 2024 | 447.40 Mn |
| Nov 30, 2023 | 433.40 Mn |
| May 31, 2023 | 414.40 Mn |
Worthington Steel Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=WS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=WS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();