Stratasys (SSYS) Total Non-Current Liabilities (2011 - 2026)
Stratasys' Total Non-Current Liabilities was $71.26 billion in Q2 2026, up 1.0% from $70.56 billion a year earlier and up 7.1% from the prior quarter.
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Analysis
Stratasys (SSYS) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Stratasys came in at $67.82 million, down 2.5% from FY2024.
- Total Non-Current Liabilities has now declined for four consecutive years, with a five-year compound annual growth rate of -7.1% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $69.54 million in FY2024 (-4.3%), $72.64 million in FY2023 (-19.0%), $89.7 million in FY2022 (-19.0%) and $110.74 million in FY2021 (+12.7%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2011.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last five quarters, with an average decline of 5.6%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2021 (growth of 82.8%); the worst was Q2 2024 (a decline of 32.1%).
- Per Business Quant data, SSYS's Total Non-Current Liabilities in the three quarters before Q2 2026 was $66.56 billion (Q1 2026), $67.82 million (Q4 2025) and $69.44 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 339.52 Bn | 311.22 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 200.47 Bn | 195.05 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 175.47 Bn | 143.56 Bn | 4.66 Bn | - |
| 4 | Eaton | 156.31 Bn | 153.50 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 121.55 Bn | 119.68 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Emerson Electric | 90.51 Bn | 83.25 Bn | 2.66 Bn | 18.30 Bn |
| 7 | 3M | 85.92 Bn | 67.32 Bn | 2.68 Bn | 23.79 Bn |
| 8 | Vertiv Holdings | 82.65 Bn | 73.27 Bn | 1.23 Bn | 10.73 Bn |
| 9 | Illinois Tool Works | 77.64 Bn | 74.20 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Stratasys | 582.23 Mn | -367.58 Mn | 58.24 Mn | 71.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.26 Mn |
| Mar 31, 2026 | 66.56 Mn |
| Dec 31, 2025 | 67.82 Mn |
| Sep 30, 2025 | 69.44 Mn |
| Jun 30, 2025 | 70.56 Mn |
| Mar 31, 2025 | 70.24 Mn |
| Dec 31, 2024 | 69.54 Mn |
| Sep 30, 2024 | 81.48 Mn |
| Jun 30, 2024 | 66.77 Mn |
| Mar 31, 2024 | 65.68 Mn |
| Dec 31, 2023 | 72.64 Mn |
| Sep 30, 2023 | 98.20 Mn |
| Jun 30, 2023 | 98.40 Mn |
| Mar 31, 2023 | 90.49 Mn |
| Dec 31, 2022 | 89.70 Mn |
| Sep 30, 2022 | 104.98 Mn |
| Jun 30, 2022 | 106.63 Mn |
| Mar 31, 2022 | 112.64 Mn |
| Dec 31, 2021 | 110.74 Mn |
| Sep 30, 2021 | 104.79 Mn |
API Access
Stratasys Total Non-Current 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-non-current-liabilities&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();