Stratasys (SSYS) Cash & Equivalents (2011 - 2026)
Stratasys' Cash & Equivalents came in at $92.53 million for Q2 2026, up 30.2% from $71.07 million a year earlier and up 28.9% from the prior quarter.
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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 -19.1% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $70.2 million in FY2024 (-15.0%), $82.59 million in FY2023 (-45.1%), $150.47 million in FY2022 (-38.1%) and $243.18 million in FY2021 (-10.6%).
- The five-year range for quarterly Cash & Equivalents is $63.96 million (Q3 2024) to $332.87 million (Q3 2021).
- Year-over-year, Cash & Equivalents has increased for five consecutive quarters, with growth averaging 0.3% 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 | 256.79 Bn | 228.09 Bn | 7.35 Bn | 7.93 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 4.17 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 528.00 Mn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 711.00 Mn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 4.84 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 2.18 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 809.00 Mn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 3.51 Bn |
| 10 | Stratasys | 523.07 Mn | -426.75 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();