Stratasys (SSYS) Operating Expenses (2011 - 2026)
Stratasys (SSYS) reported Operating Expenses of $71.71 million for Q2 2026, down 5.8% from $76.11 million a year earlier and down 12.4% from the prior quarter.
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Analysis
Stratasys (SSYS) Operating Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Stratasys' Operating Expenses came in at $304.62 million, down 3.7% year-over-year; for FY2025, it was $299.78 million, down 12.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -15.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $342.48 million in FY2024 (-3.4%), $354.6 million in FY2023 (+6.3%), $333.63 million in FY2022 (-1.7%) and $339.24 million in FY2021 (-49.8%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2023.
- Year over year, Operating Expenses gained in two of the last eight quarters, with an average decline of 4.7%.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 30.1%); the low point was Q3 2021 (a decline of 80.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $81.89 million (Q1 2026), $72.22 million (Q4 2025) and $78.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 339.52 Bn | 311.22 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 200.47 Bn | 195.05 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 175.47 Bn | 143.56 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 156.31 Bn | 153.50 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 121.55 Bn | 119.68 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 90.51 Bn | 83.25 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 85.92 Bn | 67.32 Bn | 2.68 Bn | 5.52 Bn |
| 8 | Vertiv Holdings | 82.65 Bn | 73.27 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 77.64 Bn | 74.20 Bn | 1.90 Bn | - |
| 10 | Stratasys | 582.23 Mn | -367.58 Mn | 58.24 Mn | 71.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.71 Mn |
| Mar 31, 2026 | 81.89 Mn |
| Dec 31, 2025 | 72.22 Mn |
| Sep 30, 2025 | 78.80 Mn |
| Jun 30, 2025 | 76.11 Mn |
| Mar 31, 2025 | 72.64 Mn |
| Dec 31, 2024 | 79.39 Mn |
| Sep 30, 2024 | 88.20 Mn |
| Jun 30, 2024 | 86.54 Mn |
| Mar 31, 2024 | 88.35 Mn |
| Dec 31, 2023 | 64.08 Mn |
| Sep 30, 2023 | 108.45 Mn |
| Jun 30, 2023 | 99.88 Mn |
| Mar 31, 2023 | 82.19 Mn |
| Dec 31, 2022 | 67.05 Mn |
| Sep 30, 2022 | 86.38 Mn |
| Jun 30, 2022 | 90.94 Mn |
| Mar 31, 2022 | 89.26 Mn |
| Dec 31, 2021 | 89.20 Mn |
| Sep 30, 2021 | 90.11 Mn |
API Access
Stratasys Operating Expenses 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=operating-expenses&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();