Stratasys (SSYS) EPS (Diluted) (2011 - 2026)
Stratasys' EPS (Diluted) came in at -$0.20 for Q2 2026, compared with -$0.19 a year earlier.
Analysis
Stratasys (SSYS) EPS (Diluted) (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Stratasys reported EPS (Diluted) of $1.38; for FY2025, it was $1.51.
- Going back by year, EPS (Diluted) was -$1.69 in FY2024, -$1.78 in FY2023, -$0.44 in FY2022 and -$0.98 in FY2021.
- The five-year range for quarterly EPS (Diluted) is -$0.79 (Q3 2025) to $2.53 (Q4 2025).
- Business Quant data shows SSYS's EPS (Diluted) at -$0.27 (Q1 2026), $2.53 (Q4 2025) and -$0.79 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 339.52 Bn | 311.22 Bn | 7.76 Bn | 7.77 |
| 2 | Amphenol | 200.47 Bn | 195.05 Bn | 3.55 Bn | 0.69 |
| 3 | Deere | 175.47 Bn | 143.56 Bn | 4.66 Bn | 5.09 |
| 4 | Eaton | 156.31 Bn | 153.50 Bn | 2.86 Bn | 2.11 |
| 5 | Parker-Hannifin | 121.55 Bn | 119.68 Bn | 2.25 Bn | 8.52 |
| 6 | Emerson Electric | 90.51 Bn | 83.25 Bn | 2.66 Bn | 1.28 |
| 7 | 3M | 85.92 Bn | 67.32 Bn | 2.68 Bn | 1.79 |
| 8 | Vertiv Holdings | 82.65 Bn | 73.27 Bn | 1.23 Bn | 1.27 |
| 9 | Illinois Tool Works | 77.64 Bn | 74.20 Bn | 1.90 Bn | 2.84 |
| 10 | Stratasys | 582.23 Mn | -367.58 Mn | 58.24 Mn | -0.20 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.20 |
| Mar 31, 2026 | -0.29 |
| Dec 31, 2025 | 0.61 |
| Sep 30, 2025 | -0.78 |
| Jun 30, 2025 | -0.24 |
| Mar 31, 2025 | -0.18 |
| Dec 31, 2024 | -0.59 |
| Sep 30, 2024 | -0.38 |
| Jun 30, 2024 | -0.37 |
| Mar 31, 2024 | -0.38 |
| Dec 31, 2023 | -0.22 |
| Sep 30, 2023 | -0.71 |
| Jun 30, 2023 | -0.58 |
| Mar 31, 2023 | -0.33 |
| Dec 31, 2022 | 0.07 |
| Sep 30, 2022 | 0.30 |
| Jun 30, 2022 | -0.38 |
| Mar 31, 2022 | -0.33 |
| Dec 31, 2021 | -0.08 |
| Sep 30, 2021 | -0.33 |
API Access
Stratasys EPS (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=eps-diluted&ticker=SSYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();