Worthington Steel (WS) Price to Earnings (2023 - 2026)
Worthington Steel's Price to Earnings was 263.27 in fiscal Q4 2026 (quarter ended May 31, 2026), compared with 11.15 a year earlier.
Analysis
Worthington Steel (WS) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Price to Earnings at Worthington Steel came in at 247.78.
- In earlier fiscal years, Price to Earnings was 11.15 in FY2025 (+5.9%) and 10.52 in FY2024.
- The fiscal Q4 2026 figure marks the highest quarterly Price to Earnings in data going back to fiscal Q2 2024.
- Compared with a year earlier, Price to Earnings was higher in four of the last six quarters, with growth averaging 17.9%.
- Per Business Quant data, WS's Price to Earnings in the three fiscal quarters before Q4 2026 was 17.11 (Q3 2026), 13.52 (Q2 2026) and 13.94 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn |
| 10 | Worthington Steel | 2.07 Bn | 2.16 Bn | 261.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 263.27 |
| Feb 28, 2026 | 17.11 |
| Nov 30, 2025 | 13.52 |
| Aug 31, 2025 | 13.94 |
| May 31, 2025 | 11.15 |
| Feb 28, 2025 | 12.21 |
| Nov 30, 2024 | 15.48 |
| Aug 31, 2024 | 14.04 |
| May 31, 2024 | 10.52 |
| Feb 29, 2024 | 9.25 |
| Nov 30, 2023 | 10.83 |
API Access
Worthington Steel Price to Earnings 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=price-to-earnings&ticker=WS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=WS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();