Stratasys (SSYS) Total Liabilities (2011 - 2026)
Stratasys (SSYS) posted Total Liabilities of $230.71 million for Q2 2026, down 2.5% from $236.61 million a year earlier and down 6.7% from the prior quarter.
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Analysis
Stratasys (SSYS) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Stratasys' Total Liabilities came in at $230.86 million, down 2.5% from FY2024.
- Annual Total Liabilities has declined for four consecutive years, with a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In prior years, Stratasys' Total Liabilities was $236.76 million in FY2024 (-4.9%), $249.07 million in FY2023 (-17.1%), $300.36 million in FY2022 (-6.5%) and $321.21 million in FY2021 (+39.3%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q4 2020.
- On a year-over-year basis, Total Liabilities increased in three of the last eight quarters, with an average decline of 3.1%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2021, with growth of 44.3%; the weakest was Q2 2024, with a decline of 24.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $247.26 million (Q1 2026), $230.86 million (Q4 2025) and $234.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 255.56 Bn | 227.26 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Deere | 179.70 Bn | 147.79 Bn | 4.66 Bn | 79.61 Bn |
| 3 | Amphenol | 177.67 Bn | 172.37 Bn | 4.02 Bn | 29.76 Bn |
| 4 | Eaton | 127.13 Bn | 124.07 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 113.68 Bn | 111.80 Bn | 2.25 Bn | 15.46 Bn |
| 6 | 3M | 97.60 Bn | 79.05 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 91.05 Bn | 83.78 Bn | 2.66 Bn | 21.81 Bn |
| 8 | Illinois Tool Works | 81.41 Bn | 78.08 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 68.19 Bn | 57.04 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Stratasys | 499.81 Mn | -450.00 Mn | 58.24 Mn | 230.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 230.71 Mn |
| Mar 31, 2026 | 247.26 Mn |
| Dec 31, 2025 | 230.86 Mn |
| Sep 30, 2025 | 234.68 Mn |
| Jun 30, 2025 | 236.61 Mn |
| Mar 31, 2025 | 238.30 Mn |
| Dec 31, 2024 | 236.76 Mn |
| Sep 30, 2024 | 250.90 Mn |
| Jun 30, 2024 | 231.44 Mn |
| Mar 31, 2024 | 233.89 Mn |
| Dec 31, 2023 | 249.07 Mn |
| Sep 30, 2023 | 298.62 Mn |
| Jun 30, 2023 | 307.20 Mn |
| Mar 31, 2023 | 292.63 Mn |
| Dec 31, 2022 | 300.36 Mn |
| Sep 30, 2022 | 318.67 Mn |
| Jun 30, 2022 | 306.13 Mn |
| Mar 31, 2022 | 313.68 Mn |
| Dec 31, 2021 | 321.21 Mn |
| Sep 30, 2021 | 277.56 Mn |
API Access
Stratasys Total Liabilities 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=total-liabilities&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();