Stratasys (SSYS) Operating Expenses (2011 - 2026)
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Analysis
Stratasys (SSYS) Operating Expenses (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 255.56 Bn | 227.26 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Deere | 179.70 Bn | 147.79 Bn | 4.66 Bn | 10.73 Bn |
| 3 | Amphenol | 177.67 Bn | 172.37 Bn | 4.02 Bn | 995.40 Mn |
| 4 | Eaton | 127.13 Bn | 124.07 Bn | 3.11 Bn | 1.52 Bn |
| 5 | Parker-Hannifin | 113.68 Bn | 111.80 Bn | 2.25 Bn | 874.00 Mn |
| 6 | 3M | 97.60 Bn | 79.05 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 91.05 Bn | 83.78 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 81.41 Bn | 78.08 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 68.19 Bn | 57.04 Bn | 1.64 Bn | 557.10 Mn |
| 10 | Stratasys | 499.81 Mn | -450.00 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();