3D Systems (DDD) Cash & Equivalents (2010 - 2026)
3D Systems (DDD) reported Cash & Equivalents of $127.95 million for Q2 2026, up 10.0% from $116.36 million a year earlier and up 50.4% from the prior quarter.
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Analysis
3D Systems (DDD) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, 3D Systems posted Cash & Equivalents of $95.64 million, down 44.2% from FY2024.
- Cash & Equivalents has declined for four consecutive years, though with a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $171.32 million in FY2024 (-48.3%), $331.53 million in FY2023 (-14.6%), $388.13 million in FY2022 (-50.8%) and $789.66 million in FY2021 (+952.7%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q1 2025.
- Year over year, Cash & Equivalents gained in 1 of the last eight quarters, with an average decline of 37.8%.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2021 (growth of 952.7%); the low point was Q2 2024 (a decline of 60.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $85.08 million (Q1 2026), $95.64 million (Q4 2025) and $95.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 329.39 Bn | 301.09 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 185.84 Bn | 180.42 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 170.69 Bn | 138.78 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 145.35 Bn | 142.53 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 115.41 Bn | 113.53 Bn | 2.25 Bn | 501.00 Mn |
| 6 | 3M | 90.98 Bn | 72.42 Bn | 2.78 Bn | 4.84 Bn |
| 7 | Emerson Electric | 88.45 Bn | 81.18 Bn | 2.66 Bn | 2.18 Bn |
| 8 | Illinois Tool Works | 78.12 Bn | 74.67 Bn | 1.90 Bn | 839.00 Mn |
| 9 | Vertiv Holdings | 77.87 Bn | 68.49 Bn | 1.23 Bn | 2.81 Bn |
| 10 | 3D Systems | 437.97 Mn | 33.75 Mn | 34.46 Mn | 127.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.95 Mn |
| Mar 31, 2026 | 85.08 Mn |
| Dec 31, 2025 | 95.64 Mn |
| Sep 30, 2025 | 95.54 Mn |
| Jun 30, 2025 | 116.36 Mn |
| Mar 31, 2025 | 135.04 Mn |
| Dec 31, 2024 | 171.32 Mn |
| Sep 30, 2024 | 190.01 Mn |
| Jun 30, 2024 | 192.73 Mn |
| Mar 31, 2024 | 212.04 Mn |
| Dec 31, 2023 | 331.53 Mn |
| Sep 30, 2023 | 445.55 Mn |
| Jun 30, 2023 | 490.44 Mn |
| Mar 31, 2023 | 525.90 Mn |
| Dec 31, 2022 | 388.13 Mn |
| Sep 30, 2022 | 341.30 Mn |
| Jun 30, 2022 | 298.83 Mn |
| Mar 31, 2022 | 389.27 Mn |
| Dec 31, 2021 | 789.66 Mn |
| Sep 30, 2021 | 502.75 Mn |
API Access
3D Systems Cash & Equivalents 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=cash-and-equivalents&ticker=DDD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();