3D Systems (DDD) Capital Expenditures (2010 - 2026)
3D Systems' Capital Expenditures was $3.83 million in Q2 2026, up 30.0% from $2.95 million a year earlier and up 86.2% from the prior quarter.
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Analysis
3D Systems (DDD) Capital Expenditures (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, 3D Systems' Capital Expenditures was $10.09 million through Jun 30, 2026, down 31.4% year-over-year; for FY2025, it came in at $9.94 million, down 38.3% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $16.12 million in FY2024 (-40.7%), $27.18 million in FY2023 (+30.0%), $20.91 million in FY2022 (+11.3%) and $18.79 million in FY2021 (+37.7%).
- The Q2 2026 figure marks the highest quarterly Capital Expenditures since Q4 2024.
- Compared with a year earlier, Capital Expenditures was higher in 1 of the last eight quarters, with an average decline of 25.1%.
- The best year-over-year quarter for Capital Expenditures over five years was Q1 2023 (growth of 121.3%); the worst was Q1 2024 (a decline of 64.7%).
- Per Business Quant data, DDD's Capital Expenditures in the three quarters before Q2 2026 was $2.06 million (Q1 2026), $1.95 million (Q4 2025) and $2.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.66 Bn | 306.36 Bn | 7.76 Bn | 1.11 Bn |
| 2 | Amphenol | 195.03 Bn | 189.61 Bn | 3.55 Bn | 355.50 Mn |
| 3 | Deere | 170.95 Bn | 139.05 Bn | 4.66 Bn | 903.00 Mn |
| 4 | Eaton | 148.23 Bn | 145.41 Bn | 2.86 Bn | 253.00 Mn |
| 5 | Parker-Hannifin | 118.99 Bn | 117.12 Bn | 2.25 Bn | 173.00 Mn |
| 6 | Emerson Electric | 89.42 Bn | 82.16 Bn | 2.66 Bn | 102.00 Mn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 223.00 Mn |
| 8 | Illinois Tool Works | 78.63 Bn | 75.19 Bn | 1.90 Bn | 92.00 Mn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 173.30 Mn |
| 10 | 3D Systems | 441.69 Mn | 37.48 Mn | 34.46 Mn | 3.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.83 Mn |
| Mar 31, 2026 | 2.06 Mn |
| Dec 31, 2025 | 1.95 Mn |
| Sep 30, 2025 | 2.25 Mn |
| Jun 30, 2025 | 2.95 Mn |
| Mar 31, 2025 | 2.80 Mn |
| Dec 31, 2024 | 5.32 Mn |
| Sep 30, 2024 | 3.65 Mn |
| Jun 30, 2024 | 3.96 Mn |
| Mar 31, 2024 | 3.19 Mn |
| Dec 31, 2023 | 6.19 Mn |
| Sep 30, 2023 | 7.45 Mn |
| Jun 30, 2023 | 4.52 Mn |
| Mar 31, 2023 | 9.03 Mn |
| Dec 31, 2022 | 3.85 Mn |
| Sep 30, 2022 | 6.69 Mn |
| Jun 30, 2022 | 6.29 Mn |
| Mar 31, 2022 | 4.08 Mn |
| Dec 31, 2021 | 3.98 Mn |
| Sep 30, 2021 | 6.61 Mn |
API Access
3D Systems Capital Expenditures 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=capital-expenditures&ticker=DDD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();