Stratasys (SSYS) Revenue (2011 - 2026)
Stratasys' Revenue was $137.61 million in Q2 2026, down 0.3% from $138.09 million a year earlier but up 3.7% from the prior quarter.
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Analysis
Stratasys (SSYS) Revenue (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Stratasys' Revenue was $449.65 million through Jun 30, 2026, down 2.1% year-over-year; for FY2025, it came in at $551.1 million, down 3.7% from FY2024.
- Revenue has now declined for three consecutive years, though with a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In earlier years, Revenue was $572.46 million in FY2024 (-8.8%), $627.6 million in FY2023 (-3.7%), $651.48 million in FY2022 (+7.3%) and $607.22 million in FY2021 (+16.6%).
- Quarterly Revenue has moved between $42.38 million (Q4 2025) and $166.6 million (Q2 2022) over five years.
- Compared with a year earlier, Revenue has declined for four straight quarters, with an average decline of 4.0% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q1 2022 (growth of 272.6%); the worst was Q3 2024 (a decline of 13.6%).
- Per Business Quant data, SSYS's Revenue in the three quarters before Q2 2026 was $132.7 million (Q1 2026), $42.38 million (Q4 2025) and $136.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 339.52 Bn | 311.22 Bn | 7.76 Bn | 20.54 Bn |
| 2 | Amphenol | 200.47 Bn | 195.05 Bn | 3.55 Bn | 8.76 Bn |
| 3 | Deere | 175.47 Bn | 143.56 Bn | 4.66 Bn | 12.61 Bn |
| 4 | Eaton | 156.31 Bn | 153.50 Bn | 2.86 Bn | 8.53 Bn |
| 5 | Parker-Hannifin | 121.55 Bn | 119.68 Bn | 2.25 Bn | 5.76 Bn |
| 6 | Emerson Electric | 90.51 Bn | 83.25 Bn | 2.66 Bn | 4.87 Bn |
| 7 | 3M | 85.92 Bn | 67.32 Bn | 2.68 Bn | 6.50 Bn |
| 8 | Vertiv Holdings | 82.65 Bn | 73.27 Bn | 1.23 Bn | 3.27 Bn |
| 9 | Illinois Tool Works | 77.64 Bn | 74.20 Bn | 1.90 Bn | 4.30 Bn |
| 10 | Stratasys | 582.23 Mn | -367.58 Mn | 58.24 Mn | 137.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.61 Mn |
| Mar 31, 2026 | 132.70 Mn |
| Dec 31, 2025 | 140.00 Mn |
| Sep 30, 2025 | 136.97 Mn |
| Jun 30, 2025 | 138.09 Mn |
| Mar 31, 2025 | 136.05 Mn |
| Dec 31, 2024 | 150.36 Mn |
| Sep 30, 2024 | 140.01 Mn |
| Jun 30, 2024 | 138.04 Mn |
| Mar 31, 2024 | 144.05 Mn |
| Dec 31, 2023 | 156.34 Mn |
| Sep 30, 2023 | 162.13 Mn |
| Jun 30, 2023 | 159.75 Mn |
| Mar 31, 2023 | 149.38 Mn |
| Dec 31, 2022 | 159.26 Mn |
| Sep 30, 2022 | 162.19 Mn |
| Jun 30, 2022 | 166.60 Mn |
| Mar 31, 2022 | 163.43 Mn |
| Dec 31, 2021 | 167.02 Mn |
| Sep 30, 2021 | 159.01 Mn |
API Access
Stratasys Revenue 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=revenue&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();