Stratasys (SSYS) Cash & Equivalents (2011 - 2026)
Stratasys' Cash & Equivalents came in at $92.53 million for Q2 2026, up 28.7% from $71.92 million a year earlier and up 28.9% from the prior quarter.
Powered by 
Analysis
Stratasys (SSYS) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2025, Stratasys' Cash & Equivalents was $94.53 million, up 34.7% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -20.3% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $70.2 million in FY2024 (-53.4%), $150.69 million in FY2023 (-38.1%), $243.29 million in FY2022 (-10.6%) and $272.22 million in FY2021 (-7.3%).
- The five-year range for quarterly Cash & Equivalents is $64.83 million (Q3 2024) to $332.99 million (Q3 2021).
- Year-over-year, Cash & Equivalents has increased for five consecutive quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2025 (growth of 34.7%), and the weakest in Q1 2024 (a decline of 56.4%).
- Business Quant data shows SSYS's Cash & Equivalents at $71.79 million (Q1 2026), $94.53 million (Q4 2025) and $71.47 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 339.98 Bn | 311.67 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 199.73 Bn | 194.31 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 175.36 Bn | 143.45 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 155.36 Bn | 152.54 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 122.38 Bn | 120.51 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Emerson Electric | 91.03 Bn | 83.77 Bn | 2.66 Bn | 2.18 Bn |
| 7 | 3M | 86.63 Bn | 68.03 Bn | 2.68 Bn | 2.96 Bn |
| 8 | Vertiv Holdings | 80.89 Bn | 71.51 Bn | 1.23 Bn | 2.81 Bn |
| 9 | Illinois Tool Works | 78.46 Bn | 75.02 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Stratasys | 580.19 Mn | -369.62 Mn | 58.24 Mn | 92.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.53 Mn |
| Mar 31, 2026 | 71.79 Mn |
| Dec 31, 2025 | 94.53 Mn |
| Sep 30, 2025 | 71.47 Mn |
| Jun 30, 2025 | 71.07 Mn |
| Mar 31, 2025 | 70.06 Mn |
| Dec 31, 2024 | 70.20 Mn |
| Sep 30, 2024 | 63.96 Mn |
| Jun 30, 2024 | 70.86 Mn |
| Mar 31, 2024 | 91.09 Mn |
| Dec 31, 2023 | 82.59 Mn |
| Sep 30, 2023 | 104.56 Mn |
| Jun 30, 2023 | 144.37 Mn |
| Mar 31, 2023 | 209.14 Mn |
| Dec 31, 2022 | 150.47 Mn |
| Sep 30, 2022 | 150.67 Mn |
| Jun 30, 2022 | 255.89 Mn |
| Mar 31, 2022 | 293.65 Mn |
| Dec 31, 2021 | 243.18 Mn |
| Sep 30, 2021 | 332.87 Mn |
API Access
Stratasys Cash & Equivalents 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=cash-and-equivalents&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();