Twin Disc (TWIN) Shares Outstanding (2009 - 2026)
Twin Disc's Weighted Average Shares Outstanding came in at 14.24 million for fiscal Q1 2027 (quarter ended Sep 25, 2026), up 2.0% from 13.96 million a year earlier and up 0.8% from the prior quarter.
Twin Disc (TWIN) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Twin Disc's Weighted Average Shares Outstanding was 14.12 million, up 1.9% from FY2025.
- Weighted Average Shares Outstanding has increased in each of the last ten fiscal years, with a five-year compound annual growth rate of 1.3% (FY2021 to FY2026).
- Going back by fiscal year, Weighted Average Shares Outstanding was 13.86 million in FY2025 (+1.3%), 13.68 million in FY2024 (+1.6%), 13.47 million in FY2023 (+0.9%) and 13.35 million in FY2022 (+0.8%).
- The fiscal Q1 2027 figure represents the highest quarterly Weighted Average Shares Outstanding in data going back to fiscal Q3 2009.
- Year-over-year, Weighted Average Shares Outstanding has increased for 40 consecutive quarters, with growth averaging 1.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 0.3% in fiscal Q2 2022 to 2.2% in fiscal Q3 2026.
- Business Quant data shows TWIN's Weighted Average Shares Outstanding at 14.12 million (Q4 2026), 14.2 million (Q3 2026) and 14.17 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 459.10 Mn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 2.47 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 269.80 Mn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 388.60 Mn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 126.10 Mn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 518.80 Mn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 559.60 Mn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 284.60 Mn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 385.00 Mn |
| 10 | Twin Disc | 350.53 Mn | 277.27 Mn | 25.43 Mn | 14.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 25, 2026 | 14.24 Mn |
| Jun 30, 2026 | 14.12 Mn |
| Mar 27, 2026 | 14.20 Mn |
| Dec 26, 2025 | 14.17 Mn |
| Sep 26, 2025 | 13.96 Mn |
| Jun 30, 2025 | 13.86 Mn |
| Mar 28, 2025 | 13.90 Mn |
| Dec 27, 2024 | 13.87 Mn |
| Sep 27, 2024 | 13.78 Mn |
| Jun 30, 2024 | 13.68 Mn |
| Mar 29, 2024 | 13.74 Mn |
| Dec 29, 2023 | 13.72 Mn |
| Sep 29, 2023 | 13.53 Mn |
| Jun 30, 2023 | 13.47 Mn |
| Mar 31, 2023 | 13.50 Mn |
| Dec 30, 2022 | 13.46 Mn |
| Sep 30, 2022 | 13.41 Mn |
| Jun 30, 2022 | 13.35 Mn |
| Mar 25, 2022 | 13.40 Mn |
| Dec 31, 2021 | 13.30 Mn |
Twin Disc 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=TWIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "TWIN", "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=TWIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();