Stratasys (SSYS) Return on Capital Employed [ROCE] (2012 - 2026)
Stratasys (SSYS) reported Return on Capital Employed [ROCE] of -9.26% for Q2 2026, down 2.24 percentage points from -7.02% a year earlier but up 0.45 percentage points from the prior quarter.
Stratasys (SSYS) Return on Capital Employed [ROCE] (2012 - 2026) Analysis & Trends
For FY2025, Stratasys posted Return on Capital Employed [ROCE] of -8.16%, up 1.21 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +35.12 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -9.37% in FY2024 (-0.78 pp), -8.58% in FY2023 (-3.18 pp), -5.40% in FY2022 (+3.17 pp) and -8.58% in FY2021 (+34.70 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -10.04% in Q1 2024 and a high of -5.20% in Q1 2023.
- Year over year, Return on Capital Employed [ROCE] gained in five of the last eight quarters, with an average year-over-year change of +0.52 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q4 2021 (a gain of 48.19 percentage points); the low point was Q1 2024 (a drop of 4.84 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -9.70% (Q1 2026), -7.90% (Q4 2025) and -6.48% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 22.25% |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 25.53% |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | - |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 12.64% |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 17.64% |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 18.67% |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 14.90% |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 38.87% |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 31.72% |
| 10 | Stratasys | 523.07 Mn | -426.75 Mn | 58.24 Mn | -9.26% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.26% |
| Mar 31, 2026 | -9.70% |
| Dec 31, 2025 | -7.90% |
| Sep 30, 2025 | -6.48% |
| Jun 30, 2025 | -7.02% |
| Mar 31, 2025 | -8.58% |
| Dec 31, 2024 | -9.64% |
| Sep 30, 2024 | -7.70% |
| Jun 30, 2024 | -9.46% |
| Mar 31, 2024 | -10.04% |
| Dec 31, 2023 | -8.92% |
| Sep 30, 2023 | -9.11% |
| Jun 30, 2023 | -6.29% |
| Mar 31, 2023 | -5.20% |
| Dec 31, 2022 | -5.43% |
| Sep 30, 2022 | -7.24% |
| Jun 30, 2022 | -7.78% |
| Mar 31, 2022 | -7.54% |
| Dec 31, 2021 | -7.60% |
| Sep 30, 2021 | -6.22% |
Stratasys Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=SSYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();