Stratasys (SSYS) Amortization - Intangibles (2016 - 2025)
Stratasys (SSYS) recorded Amortization - Intangibles of $4.75 million in Q4 2025, down 12.8% from $5.45 million a year earlier.
Powered by 
Analysis
Stratasys (SSYS) Amortization - Intangibles (2016 - 2025) Analysis & Trends
On a TTM basis, Stratasys' Amortization - Intangibles came in at $22.58 million as of Dec 31, 2025, down 8.9% year-over-year; for FY2022, it came in at $28.16 million.
- Annual Amortization - Intangibles has a four-year compound annual growth rate of 5.5% (FY2018 to FY2022).
- Across earlier years, Amortization - Intangibles came in at $16.48 million in FY2020 and $22.77 million in FY2018.
- The Q4 2025 figure is the lowest quarterly Amortization - Intangibles since Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 255.56 Bn | 227.26 Bn | 7.76 Bn |
| 2 | Deere | 179.70 Bn | 147.79 Bn | 4.66 Bn |
| 3 | Amphenol | 177.67 Bn | 172.37 Bn | 4.02 Bn |
| 4 | Eaton | 127.13 Bn | 124.07 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 113.68 Bn | 111.80 Bn | 2.25 Bn |
| 6 | 3M | 97.60 Bn | 79.05 Bn | 2.78 Bn |
| 7 | Emerson Electric | 91.05 Bn | 83.78 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 81.41 Bn | 78.08 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 68.19 Bn | 57.04 Bn | 1.64 Bn |
| 10 | Stratasys | 499.81 Mn | -450.00 Mn | 58.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.75 Mn |
| Dec 31, 2024 | 5.45 Mn |
| Mar 31, 2024 | 5.08 Mn |
| Dec 31, 2023 | 7.30 Mn |
| Mar 31, 2022 | 6.97 Mn |
| Dec 31, 2019 | 5.22 Mn |
| Dec 31, 2017 | 10.39 Mn |
| Dec 31, 2016 | 210,000.00 |
API Access
Stratasys Amortization - 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=amortization-intangibles&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();