3D Systems (DDD) Total Debt (2013 - 2026)
3D Systems (DDD) posted Total Debt of $91.18 million for Q2 2026, down 25.7% from $122.64 million a year earlier but up 0.5% from the prior quarter.
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Analysis
3D Systems (DDD) Total Debt (2013 - 2026) Analysis & Trends
At the end of FY2025, 3D Systems' Total Debt came in at $90.34 million, down 57.4% from FY2024.
- Annual Total Debt has declined for three consecutive years, though with a five-year compound annual growth rate of 33.5% (FY2020 to FY2025).
- In prior years, 3D Systems' Total Debt was $212 million in FY2024 (-33.6%), $319.36 million in FY2023 (-29.0%), $449.51 million in FY2022 (+0.6%) and $446.86 million in FY2021.
- Quarterly Total Debt has run from a low of $90.34 million in Q4 2025 to a high of $451.52 million in Q3 2023 over five years.
- On a year-over-year basis, Total Debt has declined in each of the last five quarters, with an average decline of 38.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was Q2 2023, with growth of 0.6%; the weakest was Q4 2025, with a decline of 57.4%.
- According to Business Quant data, Total Debt for the three prior quarters was $90.73 million (Q1 2026), $90.34 million (Q4 2025) and $122.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 45.15 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 18.81 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 57.74 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 20.61 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 8.52 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 13.11 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 12.55 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 9.69 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 2.94 Bn |
| 10 | 3D Systems | 446.16 Mn | 41.95 Mn | 34.46 Mn | 91.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.18 Mn |
| Mar 31, 2026 | 90.73 Mn |
| Dec 31, 2025 | 90.34 Mn |
| Sep 30, 2025 | 122.60 Mn |
| Jun 30, 2025 | 122.64 Mn |
| Mar 31, 2025 | 212.31 Mn |
| Dec 31, 2024 | 212.00 Mn |
| Sep 30, 2024 | 211.68 Mn |
| Jun 30, 2024 | 211.37 Mn |
| Mar 31, 2024 | 211.05 Mn |
| Dec 31, 2023 | 319.36 Mn |
| Sep 30, 2023 | 451.52 Mn |
| Jun 30, 2023 | 450.85 Mn |
| Mar 31, 2023 | 450.18 Mn |
| Dec 31, 2022 | 449.51 Mn |
| Sep 30, 2022 | 448.85 Mn |
| Jun 30, 2022 | 448.08 Mn |
| Mar 31, 2022 | 447.53 Mn |
| Dec 31, 2021 | 446.86 Mn |
| Dec 31, 2020 | 21.27 Mn |
API Access
3D Systems Total 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=total-debt&ticker=DDD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=DDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();