Stratasys (SSYS) Shares Outstanding (Diluted) (2011 - 2026)
Stratasys' Weighted Average Shares Outstanding (Diluted) came in at 82.3 million for Q2 2026, up 15.6% from 71.18 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Stratasys (SSYS) Shares Outstanding (Diluted) (2011 - 2026) Analysis & Trends
Going back to Q3 2011, Stratasys' Weighted Average Shares Outstanding (Diluted) data covers 60 quarters.
- Weighted Average Shares Outstanding (Diluted) has increased in each of the last six years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 71.18 million in FY2024 (+2.8%), 69.23 million in FY2023 (+4.1%), 66.49 million in FY2022 (+4.8%) and 63.47 million in FY2021 (+15.6%).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has increased for 23 consecutive quarters, with growth averaging 7.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding (Diluted) ranged from 2.2% (Q3 2021) to 15.6% (Q2 2026).
- Business Quant data shows SSYS's Weighted Average Shares Outstanding (Diluted) at 82.3 million (Q1 2026), 82.3 million (Q4 2025) and 71.18 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 253.27 Bn | 224.57 Bn | 7.35 Bn | 460.90 Mn |
| 2 | Deere | 178.91 Bn | 187.67 Bn | 4.66 Bn | 270.70 Mn |
| 3 | Amphenol | 176.82 Bn | 171.66 Bn | 4.02 Bn | 2.58 Bn |
| 4 | Eaton | 126.90 Bn | 123.88 Bn | 3.11 Bn | 389.60 Mn |
| 5 | Parker-Hannifin | 112.58 Bn | 110.57 Bn | 2.26 Bn | 127.80 Mn |
| 6 | 3M | 97.01 Bn | 79.42 Bn | 2.78 Bn | 522.60 Mn |
| 7 | Emerson Electric | 90.65 Bn | 83.40 Bn | 2.66 Bn | 561.10 Mn |
| 8 | Illinois Tool Works | 81.12 Bn | 77.79 Bn | 1.91 Bn | 285.30 Mn |
| 9 | Vertiv Holdings | 68.02 Bn | 56.87 Bn | 1.64 Bn | 392.68 Mn |
| 10 | Stratasys | 526.13 Mn | -423.68 Mn | 58.24 Mn | 82.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.30 Mn |
| Mar 31, 2026 | 82.30 Mn |
| Dec 31, 2025 | 82.30 Mn |
| Sep 30, 2025 | 71.18 Mn |
| Jun 30, 2025 | 71.18 Mn |
| Mar 31, 2025 | 71.18 Mn |
| Dec 31, 2024 | 71.18 Mn |
| Sep 30, 2024 | 69.23 Mn |
| Jun 30, 2024 | 69.23 Mn |
| Mar 31, 2024 | 69.23 Mn |
| Dec 31, 2023 | 69.23 Mn |
| Sep 30, 2023 | 66.49 Mn |
| Jun 30, 2023 | 66.49 Mn |
| Mar 31, 2023 | 66.49 Mn |
| Dec 31, 2022 | 66.49 Mn |
| Sep 30, 2022 | 63.47 Mn |
| Jun 30, 2022 | 63.47 Mn |
| Mar 31, 2022 | 63.47 Mn |
| Dec 31, 2021 | 63.47 Mn |
| Sep 30, 2021 | 54.92 Mn |
API Access
Stratasys 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=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SSYS", "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=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();