3D Systems (DDD) Net of Acquisitions & Divestments (2010 - 2026)
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Analysis
3D Systems (DDD) Net of Acquisitions & Divestments (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 315.73 Bn | 287.43 Bn | 7.76 Bn | -106.00 Mn |
| 2 | Amphenol | 182.70 Bn | 177.41 Bn | 3.55 Bn | -92.20 Mn |
| 3 | Deere | 174.18 Bn | 182.94 Bn | 4.66 Bn | -16.00 Mn |
| 4 | Eaton | 142.17 Bn | 139.40 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 110.97 Bn | 109.10 Bn | 2.25 Bn | 15.00 Mn |
| 6 | Emerson Electric | 90.14 Bn | 82.89 Bn | 2.66 Bn | - |
| 7 | 3M | 89.64 Bn | 72.05 Bn | 2.78 Bn | - |
| 8 | Illinois Tool Works | 78.53 Bn | 75.09 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 74.79 Bn | 65.41 Bn | 1.23 Bn | -282.80 Mn |
| 10 | 3D Systems | 505.09 Mn | 100.88 Mn | 34.46 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 100,000.00 |
| Dec 31, 2025 | 2.75 Mn |
| Sep 30, 2025 | -2.50 Mn |
| Jun 30, 2025 | 119.05 Mn |
| Mar 31, 2025 | -550,000.00 |
| Dec 31, 2024 | -550,000.00 |
| Jun 30, 2024 | -2.36 Mn |
| Mar 31, 2024 | 3,000.00 |
| Dec 31, 2023 | 283,000.00 |
| Sep 30, 2023 | -13.59 Mn |
| Jun 30, 2023 | -15.65 Mn |
| Dec 31, 2022 | -18.67 Mn |
| Sep 30, 2022 | -1.39 Mn |
| Jun 30, 2022 | -73.98 Mn |
| Mar 31, 2022 | -9.34 Mn |
| Dec 31, 2021 | -134.93 Mn |
| Sep 30, 2021 | 372.89 Mn |
| Jun 30, 2021 | -10.91 Mn |
| Mar 31, 2021 | 54.75 Mn |
| Dec 31, 2020 | 1.00 Mn |
API Access
3D Systems Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=DDD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=DDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();