Ats (ATS) Shares Outstanding (Diluted) (2023 - 2026)
Ats' Weighted Average Shares Outstanding (Diluted) was 98.14 million in fiscal Q2 2027 (quarter ended Sep 27, 2026), up 0.2% from 97.98 million a year earlier and unchanged from the prior quarter.
Ats (ATS) Shares Outstanding (Diluted) (2023 - 2026) Analysis & Trends
From fiscal Q4 2023 onward, Ats has reported Weighted Average Shares Outstanding (Diluted) for 15 quarters.
- Weighted Average Shares Outstanding (Diluted) shows a three-year compound annual growth rate of 2.1% (FY2023 to FY2026).
- In earlier fiscal years, Weighted Average Shares Outstanding (Diluted) was 97.98 million in FY2025 (-0.6%), 98.58 million in FY2024 (+6.9%) and 92.24 million in FY2023.
- Quarterly Weighted Average Shares Outstanding (Diluted) has moved between 92.24 million (fiscal Q4 2023) and 98.58 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for three straight quarters, with growth averaging 0.6% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was fiscal Q3 2025 (growth of 6.9%); the worst was fiscal Q4 2025 (a decline of 0.6%).
- Per Business Quant data, ATS's Weighted Average Shares Outstanding (Diluted) in the three fiscal quarters before Q2 2027 was 98.14 million (Q1 2027), 98.14 million (Q4 2026) and 97.98 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 460.90 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 2.58 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 389.60 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 127.80 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 522.60 Mn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 562.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 285.30 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 392.68 Mn |
| 10 | Ats | 1.69 Bn | 992.13 Mn | 135.40 Mn | 98.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 98.14 Mn |
| Jun 28, 2026 | 98.14 Mn |
| Mar 31, 2026 | 98.14 Mn |
| Dec 28, 2025 | 97.98 Mn |
| Sep 28, 2025 | 97.98 Mn |
| Jun 29, 2025 | 97.98 Mn |
| Mar 31, 2025 | 97.98 Mn |
| Dec 29, 2024 | 98.58 Mn |
| Sep 29, 2024 | 98.58 Mn |
| Jun 30, 2024 | 98.58 Mn |
| Mar 31, 2024 | 98.58 Mn |
| Dec 31, 2023 | 92.24 Mn |
| Oct 1, 2023 | 92.24 Mn |
| Jul 2, 2023 | 92.24 Mn |
| Mar 31, 2023 | 92.24 Mn |
Ats 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=ATS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ATS", "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=ATS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();