Stratasys (SSYS) Return on Sales [ROS] (2011 - 2026)
Stratasys' Return on Sales [ROS] came in at -9.79% for Q2 2026, up 2.25 percentage points from -12.04% a year earlier and up 10.21 percentage points from the prior quarter.
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Analysis
Stratasys (SSYS) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Stratasys reported Return on Sales [ROS] of -15.25%, down 3.88 percentage points year-over-year; for FY2025, it was -13.15%, up 1.81 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +74.40 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -14.96% in FY2024 (-1.01 pp), -13.95% in FY2023 (-5.18 pp), -8.77% in FY2022 (+4.26 pp) and -13.04% in FY2021 (+74.52 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q1 2025.
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of -0.32 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2021 (a gain of 302.33 percentage points), and the weakest in Q3 2023 (a drop of 16.76 percentage points).
- Business Quant data shows SSYS's Return on Sales [ROS] at -19.99% (Q1 2026), -14.83% (Q4 2025) and -16.58% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 26.92% |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 22.81% |
| 10 | Stratasys | 523.07 Mn | -426.75 Mn | 58.24 Mn | -9.79% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.79% |
| Mar 31, 2026 | -19.99% |
| Dec 31, 2025 | -14.83% |
| Sep 30, 2025 | -16.58% |
| Jun 30, 2025 | -12.04% |
| Mar 31, 2025 | -9.12% |
| Dec 31, 2024 | -6.45% |
| Sep 30, 2024 | -18.19% |
| Jun 30, 2024 | -18.87% |
| Mar 31, 2024 | -16.98% |
| Dec 31, 2023 | 3.63% |
| Sep 30, 2023 | -26.40% |
| Jun 30, 2023 | -21.07% |
| Mar 31, 2023 | -11.24% |
| Dec 31, 2022 | 1.00% |
| Sep 30, 2022 | -9.63% |
| Jun 30, 2022 | -14.13% |
| Mar 31, 2022 | -11.98% |
| Dec 31, 2021 | -9.68% |
| Sep 30, 2021 | -13.78% |
API Access
Stratasys Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();