Stratasys (SSYS) Intangibles (2011 - 2026)
Stratasys (SSYS) posted Intangibles of $85.49 million for Q2 2026, down 19.4% from $106.01 million a year earlier and down 5.8% from the prior quarter.
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Analysis
Stratasys (SSYS) Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2025, Stratasys' Intangibles came in at $95.84 million, down 9.8% from FY2024.
- Annual Intangibles shows a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- In prior years, Stratasys' Intangibles was $106.25 million in FY2024 (-16.8%), $127.78 million in FY2023 (+5.3%), $121.4 million in FY2022 (-20.3%) and $152.24 million in FY2021 (+15.7%).
- The Q2 2026 figure stands as the lowest quarterly Intangibles since Q3 2020.
- On a year-over-year basis, Intangibles has declined in each of the last ten quarters, with an average decline of 14.0% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was Q3 2021, with growth of 79.8%; the weakest was Q2 2024, with a decline of 21.6%.
- According to Business Quant data, Intangibles for the three prior quarters was $90.72 million (Q1 2026), $95.84 million (Q4 2025) and $101.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 339.52 Bn | 311.22 Bn | 7.76 Bn | 420.00 Mn |
| 2 | Amphenol | 200.47 Bn | 195.05 Bn | 3.55 Bn | 5.29 Bn |
| 3 | Deere | 175.47 Bn | 143.56 Bn | 4.66 Bn | 940.00 Mn |
| 4 | Eaton | 156.31 Bn | 153.50 Bn | 2.86 Bn | 12.61 Bn |
| 5 | Parker-Hannifin | 121.55 Bn | 119.68 Bn | 2.25 Bn | 7.28 Bn |
| 6 | Emerson Electric | 90.51 Bn | 83.25 Bn | 2.66 Bn | 8.69 Bn |
| 7 | 3M | 85.92 Bn | 67.32 Bn | 2.68 Bn | 1.05 Bn |
| 8 | Vertiv Holdings | 82.65 Bn | 73.27 Bn | 1.23 Bn | 1.80 Bn |
| 9 | Illinois Tool Works | 77.64 Bn | 74.20 Bn | 1.90 Bn | 558.00 Mn |
| 10 | Stratasys | 582.23 Mn | -367.58 Mn | 58.24 Mn | 85.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.49 Mn |
| Mar 31, 2026 | 90.72 Mn |
| Dec 31, 2025 | 95.84 Mn |
| Sep 30, 2025 | 101.27 Mn |
| Jun 30, 2025 | 106.01 Mn |
| Mar 31, 2025 | 101.62 Mn |
| Dec 31, 2024 | 106.25 Mn |
| Sep 30, 2024 | 111.88 Mn |
| Jun 30, 2024 | 116.46 Mn |
| Mar 31, 2024 | 121.20 Mn |
| Dec 31, 2023 | 127.78 Mn |
| Sep 30, 2023 | 141.20 Mn |
| Jun 30, 2023 | 148.61 Mn |
| Mar 31, 2023 | 129.76 Mn |
| Dec 31, 2022 | 121.40 Mn |
| Sep 30, 2022 | 129.68 Mn |
| Jun 30, 2022 | 133.66 Mn |
| Mar 31, 2022 | 143.32 Mn |
| Dec 31, 2021 | 152.24 Mn |
| Sep 30, 2021 | 117.01 Mn |
API Access
Stratasys Intangibles 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=intangibles&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();