3D Systems (DDD) Total Non-Current Liabilities (2010 - 2026)
3D Systems' Total Non-Current Liabilities came in at $238.89 million for Q2 2026, down 25.2% from $319.33 million a year earlier and down 6.6% from the prior quarter.
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Analysis
3D Systems (DDD) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, 3D Systems' Total Non-Current Liabilities was $257.37 million, down 36.9% from FY2024.
- Total Non-Current Liabilities has declined in each of the last four years, though with a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $407.65 million in FY2024 (-23.2%), $530.51 million in FY2023 (-18.3%), $649.21 million in FY2022 (-3.7%) and $674.46 million in FY2021 (+168.6%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q3 2021.
- Year-over-year, Total Non-Current Liabilities has declined for 11 consecutive quarters, with an average decline of 26.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2022 (growth of 210.9%), and the weakest in Q2 2024 (a decline of 40.0%).
- Business Quant data shows DDD's Total Non-Current Liabilities at $255.69 million (Q1 2026), $257.37 million (Q4 2025) and $307.85 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.66 Bn | 306.36 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 195.03 Bn | 189.61 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 170.95 Bn | 139.05 Bn | 4.66 Bn | - |
| 4 | Eaton | 148.23 Bn | 145.41 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 118.99 Bn | 117.12 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Emerson Electric | 89.42 Bn | 82.16 Bn | 2.66 Bn | 18.30 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 23.79 Bn |
| 8 | Illinois Tool Works | 78.63 Bn | 75.19 Bn | 1.90 Bn | 7.65 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 10.73 Bn |
| 10 | 3D Systems | 441.69 Mn | 37.48 Mn | 34.46 Mn | 238.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 238.89 Mn |
| Mar 31, 2026 | 255.69 Mn |
| Dec 31, 2025 | 257.37 Mn |
| Sep 30, 2025 | 307.85 Mn |
| Jun 30, 2025 | 319.33 Mn |
| Mar 31, 2025 | 411.89 Mn |
| Dec 31, 2024 | 407.65 Mn |
| Sep 30, 2024 | 408.90 Mn |
| Jun 30, 2024 | 407.72 Mn |
| Mar 31, 2024 | 418.63 Mn |
| Dec 31, 2023 | 530.51 Mn |
| Sep 30, 2023 | 672.85 Mn |
| Jun 30, 2023 | 679.08 Mn |
| Mar 31, 2023 | 668.86 Mn |
| Dec 31, 2022 | 649.21 Mn |
| Sep 30, 2022 | 653.47 Mn |
| Jun 30, 2022 | 662.45 Mn |
| Mar 31, 2022 | 645.24 Mn |
| Dec 31, 2021 | 674.46 Mn |
| Sep 30, 2021 | 216.86 Mn |
API Access
3D Systems 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=DDD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "DDD", "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=DDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();