3D Systems (DDD) Short term Debt (2013 - 2026)
3D Systems (DDD) posted Short term Debt of $3.94 million for Q2 2026, unchanged from the prior quarter.
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Analysis
3D Systems (DDD) Short term Debt (2013 - 2026) Analysis & Trends
Since Q4 2013, 3D Systems has reported Short term Debt for 27 quarters.
- Annual Short term Debt shows a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn |
| 10 | 3D Systems | 446.16 Mn | 41.95 Mn | 34.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.94 Mn |
| Mar 31, 2026 | 3.94 Mn |
| Dec 31, 2025 | 3.94 Mn |
| Dec 31, 2020 | 2.05 Mn |
| Sep 30, 2020 | 1.76 Mn |
| Jun 30, 2020 | 1.47 Mn |
| Mar 31, 2020 | 2.51 Mn |
| Dec 31, 2019 | 2.51 Mn |
| Sep 30, 2019 | 3.03 Mn |
| Jun 30, 2019 | 4.05 Mn |
| Mar 31, 2019 | 5.00 Mn |
| Sep 30, 2018 | 651,000.00 |
| Jun 30, 2018 | 646,000.00 |
| Mar 31, 2018 | 661,000.00 |
| Dec 31, 2017 | 644,000.00 |
| Sep 30, 2017 | 632,000.00 |
| Jun 30, 2017 | 613,000.00 |
| Mar 31, 2017 | 584,000.00 |
| Dec 31, 2016 | 572,000.00 |
| Mar 31, 2016 | 555,000.00 |
API Access
3D Systems Short term Debt 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=short-term-debt&ticker=DDD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=DDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();