3D Systems (DDD) Intangibles (2010 - 2026)
3D Systems (DDD) posted Intangibles of $15.65 million for Q2 2026, down 9.5% from $17.28 million a year earlier and down 3.2% from the prior quarter.
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Analysis
3D Systems (DDD) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, 3D Systems' Intangibles came in at $16.61 million, down 7.8% from FY2024.
- Annual Intangibles has declined for three consecutive years, with a five-year compound annual growth rate of -10.0% (FY2020 to FY2025).
- In prior years, 3D Systems' Intangibles was $18.02 million in FY2024 (-71.3%), $62.72 million in FY2023 (-30.5%), $90.23 million in FY2022 (+96.9%) and $45.84 million in FY2021 (+63.2%).
- The Q2 2026 figure stands as the lowest quarterly Intangibles in data going back to Q4 2010.
- On a year-over-year basis, Intangibles has declined in each of the last 12 quarters, with an average decline of 41.2% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was Q3 2022, with growth of 172.8%; the weakest was Q4 2024, with a decline of 71.3%.
- According to Business Quant data, Intangibles for the three prior quarters was $16.16 million (Q1 2026), $16.61 million (Q4 2025) and $16.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 420.00 Mn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 5.29 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 940.00 Mn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 12.61 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 7.28 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 8.69 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 1.05 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 558.00 Mn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 1.80 Bn |
| 10 | 3D Systems | 446.16 Mn | 41.95 Mn | 34.46 Mn | 15.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.65 Mn |
| Mar 31, 2026 | 16.16 Mn |
| Dec 31, 2025 | 16.61 Mn |
| Sep 30, 2025 | 16.67 Mn |
| Jun 30, 2025 | 17.28 Mn |
| Mar 31, 2025 | 17.87 Mn |
| Dec 31, 2024 | 18.02 Mn |
| Sep 30, 2024 | 20.96 Mn |
| Jun 30, 2024 | 58.28 Mn |
| Mar 31, 2024 | 60.12 Mn |
| Dec 31, 2023 | 62.72 Mn |
| Sep 30, 2023 | 71.54 Mn |
| Jun 30, 2023 | 85.13 Mn |
| Mar 31, 2023 | 88.06 Mn |
| Dec 31, 2022 | 90.23 Mn |
| Sep 30, 2022 | 82.54 Mn |
| Jun 30, 2022 | 70.01 Mn |
| Mar 31, 2022 | 46.21 Mn |
| Dec 31, 2021 | 45.84 Mn |
| Sep 30, 2021 | 30.25 Mn |
API Access
3D Systems Intangibles 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=intangibles&ticker=DDD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=DDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();