Stratasys (SSYS) Selling, General & Administrative (2011 - 2026)
Stratasys' Selling, General & Administrative was $52.24 million in Q2 2026, down 7.0% from $56.19 million a year earlier and down 16.7% from the prior quarter.
Powered by 
Analysis
Stratasys (SSYS) Selling, General & Administrative (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Stratasys' Selling, General & Administrative was $227.41 million through Jun 30, 2026, down 0.3% year-over-year; for FY2025, it came in at $222.47 million, down 8.6% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $243.34 million in FY2024 (-6.5%), $260.18 million in FY2023 (+8.1%), $240.75 million in FY2022 (-4.1%) and $250.94 million in FY2021 (+22.3%).
- The Q2 2026 figure marks the lowest quarterly Selling, General & Administrative since Q4 2023.
- Compared with a year earlier, Selling, General & Administrative was higher in two of the last eight quarters, with an average decline of 1.1%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2024 (growth of 40.0%); the worst was Q4 2022 (a decline of 31.4%).
- Per Business Quant data, SSYS's Selling, General & Administrative in the three quarters before Q2 2026 was $62.74 million (Q1 2026), $54.19 million (Q4 2025) and $58.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 339.52 Bn | 311.22 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 200.47 Bn | 195.05 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 175.47 Bn | 143.56 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 156.31 Bn | 153.50 Bn | 2.86 Bn | 1.24 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 | 1.06 Bn |
| 8 | Vertiv Holdings | 82.65 Bn | 73.27 Bn | 1.23 Bn | 494.40 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 | 52.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.24 Mn |
| Mar 31, 2026 | 62.74 Mn |
| Dec 31, 2025 | 54.19 Mn |
| Sep 30, 2025 | 58.24 Mn |
| Jun 30, 2025 | 56.19 Mn |
| Mar 31, 2025 | 53.85 Mn |
| Dec 31, 2024 | 54.60 Mn |
| Sep 30, 2024 | 63.50 Mn |
| Jun 30, 2024 | 60.86 Mn |
| Mar 31, 2024 | 64.37 Mn |
| Dec 31, 2023 | 39.01 Mn |
| Sep 30, 2023 | 84.88 Mn |
| Jun 30, 2023 | 75.58 Mn |
| Mar 31, 2023 | 60.72 Mn |
| Dec 31, 2022 | 45.67 Mn |
| Sep 30, 2022 | 63.23 Mn |
| Jun 30, 2022 | 66.59 Mn |
| Mar 31, 2022 | 65.26 Mn |
| Dec 31, 2021 | 66.58 Mn |
| Sep 30, 2021 | 67.46 Mn |
API Access
Stratasys Selling, General & Administrative 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=selling-general-and-administrative&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();