Worthington Steel (WS) Shares Outstanding (Diluted) (2022 - 2026)
Worthington Steel (WS) reported Shares Outstanding (Diluted) of 50.8 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 0.6% from 50.5 million a year earlier but down 0.2% from the prior quarter.
Worthington Steel (WS) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
Dating back to fiscal Q2 2023, Worthington Steel's Shares Outstanding (Diluted) record includes 15 quarters.
- Shares Outstanding (Diluted) has increased for three consecutive fiscal years, with a four-year compound annual growth rate of 0.8% (FY2022 to FY2026).
- By fiscal year, Shares Outstanding (Diluted) came in at 50.5 million in FY2025 (+1.4%), 49.8 million in FY2024 (+1.0%), 49.3 million in FY2023 (unchanged) and 49.3 million in FY2022.
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 49.3 million in fiscal Q2 2023 and a high of 50.9 million in fiscal Q3 2026.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last ten quarters, with growth averaging 1.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 0.0% (fiscal Q2 2024) to 2.6% (fiscal Q2 2025).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 50.9 million (Q3 2026), 50.7 million (Q2 2026) and 50.6 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 128.10 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 561.10 Mn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 522.60 Mn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 392.75 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 287.00 Mn |
| 10 | Worthington Steel | 2.05 Bn | 1.53 Bn | 261.20 Mn | 50.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 50.00 Mn |
| May 31, 2026 | 50.80 Mn |
| Feb 28, 2026 | 50.90 Mn |
| Nov 30, 2025 | 50.70 Mn |
| Aug 31, 2025 | 50.60 Mn |
| May 31, 2025 | 50.50 Mn |
| Feb 28, 2025 | 50.50 Mn |
| Nov 30, 2024 | 50.60 Mn |
| Aug 31, 2024 | 50.40 Mn |
| May 31, 2024 | 49.80 Mn |
| Feb 29, 2024 | 50.30 Mn |
| Nov 30, 2023 | 49.30 Mn |
| Aug 31, 2023 | 49.30 Mn |
| May 31, 2023 | 49.30 Mn |
| Feb 28, 2023 | 49.30 Mn |
| Nov 30, 2022 | 49.30 Mn |
Worthington Steel Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=WS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=WS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();