Worthington Enterprises (WOR) Shares Outstanding (2009 - 2026)
Worthington Enterprises (WOR) recorded Shares Outstanding of 48.57 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 1.4% from 49.26 million a year earlier and down 1.0% from the prior quarter.
Worthington Enterprises (WOR) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Worthington Enterprises reported Shares Outstanding of 49.07 million, down 0.7% from FY2025.
- Annual Shares Outstanding has a five-year compound annual growth rate of -1.4% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding came in at 49.4 million in FY2025 (+0.4%), 49.2 million in FY2024 (+1.3%), 48.57 million in FY2023 (-2.8%) and 49.94 million in FY2022 (-5.2%).
- The fiscal Q1 2027 figure is the lowest quarterly Shares Outstanding since fiscal Q4 2023.
- On a year-over-year basis, Shares Outstanding has declined for five consecutive quarters, with an average decline of 0.3% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 1.5% in fiscal Q3 2024, against a decline of 5.2% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 49.07 million (Q4 2026), 49.07 million (Q3 2026) and 49.16 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn | 220.00 Mn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn | 608.00 Mn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn | 821.80 Mn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn | 35.12 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn | 381.00 Mn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn | 581.00 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn | 196.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn | 84.80 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn | 39.40 Mn |
| 10 | Worthington Enterprises | 2.94 Bn | 2.67 Bn | 90.90 Mn | 48.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 48.57 Mn |
| May 31, 2026 | 49.07 Mn |
| Feb 28, 2026 | 49.07 Mn |
| Nov 30, 2025 | 49.16 Mn |
| Aug 31, 2025 | 49.26 Mn |
| May 31, 2025 | 49.40 Mn |
| Feb 28, 2025 | 49.38 Mn |
| Nov 30, 2024 | 49.46 Mn |
| Aug 31, 2024 | 49.49 Mn |
| May 31, 2024 | 49.20 Mn |
| Feb 29, 2024 | 49.32 Mn |
| Nov 30, 2023 | 49.19 Mn |
| Aug 31, 2023 | 48.84 Mn |
| May 31, 2023 | 48.57 Mn |
| Feb 28, 2023 | 48.59 Mn |
| Nov 30, 2022 | 48.56 Mn |
| Aug 31, 2022 | 48.48 Mn |
| May 31, 2022 | 49.94 Mn |
| Feb 28, 2022 | 49.75 Mn |
| Nov 30, 2021 | 50.38 Mn |
Worthington Enterprises Shares Outstanding 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&ticker=WOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "WOR", "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&ticker=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();