3D Systems (DDD) Non-Current Assets (2010 - 2026)
3D Systems (DDD) posted Non-Current Assets of $169.63 million for Q2 2026, down 14.2% from $197.72 million a year earlier and down 1.6% from the prior quarter.
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Analysis
3D Systems (DDD) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, 3D Systems' Non-Current Assets came in at $175.02 million, down 2.8% from FY2024.
- Annual Non-Current Assets has declined for three consecutive years, with a five-year compound annual growth rate of -14.2% (FY2020 to FY2025).
- In prior years, 3D Systems' Non-Current Assets was $180.02 million in FY2024 (-50.4%), $362.84 million in FY2023 (-40.7%), $612.37 million in FY2022 (+18.4%) and $517.36 million in FY2021 (+37.8%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q3 2011.
- On a year-over-year basis, Non-Current Assets has declined in each of the last 11 quarters, with an average decline of 29.5% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2022, with growth of 90.5%; the weakest was Q3 2024, with a decline of 69.6%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $172.46 million (Q1 2026), $175.02 million (Q4 2025) and $193.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | - |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 32.55 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 20.81 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 9.89 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 5.92 Bn |
| 10 | 3D Systems | 446.16 Mn | 41.95 Mn | 34.46 Mn | 169.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 169.63 Mn |
| Mar 31, 2026 | 172.46 Mn |
| Dec 31, 2025 | 175.02 Mn |
| Sep 30, 2025 | 193.32 Mn |
| Jun 30, 2025 | 197.72 Mn |
| Mar 31, 2025 | 181.47 Mn |
| Dec 31, 2024 | 180.02 Mn |
| Sep 30, 2024 | 198.26 Mn |
| Jun 30, 2024 | 347.80 Mn |
| Mar 31, 2024 | 351.37 Mn |
| Dec 31, 2023 | 362.84 Mn |
| Sep 30, 2023 | 653.04 Mn |
| Jun 30, 2023 | 646.78 Mn |
| Mar 31, 2023 | 632.09 Mn |
| Dec 31, 2022 | 612.37 Mn |
| Sep 30, 2022 | 566.11 Mn |
| Jun 30, 2022 | 586.11 Mn |
| Mar 31, 2022 | 518.84 Mn |
| Dec 31, 2021 | 517.36 Mn |
| Sep 30, 2021 | 297.14 Mn |
API Access
3D Systems Non-Current Assets 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=non-current-assets&ticker=DDD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();