3D Systems (DDD) Total Current Liabilities (2010 - 2026)
3D Systems (DDD) recorded Total Current Liabilities of $107.6 million in Q2 2026, down 23.9% from $141.31 million a year earlier and down 12.8% from the prior quarter.
3D Systems (DDD) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, 3D Systems reported Total Current Liabilities of $120.62 million, down 13.3% from FY2024.
- Annual Total Current Liabilities has declined for four straight years, with a five-year compound annual growth rate of -7.2% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $139.1 million in FY2024 (-5.5%), $147.19 million in FY2023 (-3.0%), $151.81 million in FY2022 (-14.7%) and $178.01 million in FY2021 (+1.3%).
- The Q2 2026 figure is the lowest quarterly Total Current Liabilities since Q3 2013.
- On a year-over-year basis, Total Current Liabilities has declined for four consecutive quarters, with an average decline of 7.4% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 4.8% in Q3 2021, against a decline of 23.9% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $123.41 million (Q1 2026), $120.62 million (Q4 2025) and $132.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.72 Bn | 306.42 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 195.14 Bn | 189.72 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 171.42 Bn | 139.51 Bn | 4.66 Bn | - |
| 4 | Eaton | 148.20 Bn | 145.38 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 118.81 Bn | 116.94 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Emerson Electric | 89.29 Bn | 82.03 Bn | 2.66 Bn | 10.77 Bn |
| 7 | 3M | 88.88 Bn | 70.28 Bn | 2.68 Bn | 11.38 Bn |
| 8 | Illinois Tool Works | 78.59 Bn | 75.15 Bn | 1.90 Bn | 5.95 Bn |
| 9 | Vertiv Holdings | 78.31 Bn | 68.94 Bn | 1.23 Bn | 7.24 Bn |
| 10 | 3D Systems | 440.95 Mn | 36.73 Mn | 34.46 Mn | 107.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.60 Mn |
| Mar 31, 2026 | 123.41 Mn |
| Dec 31, 2025 | 120.62 Mn |
| Sep 30, 2025 | 132.35 Mn |
| Jun 30, 2025 | 141.31 Mn |
| Mar 31, 2025 | 144.02 Mn |
| Dec 31, 2024 | 139.10 Mn |
| Sep 30, 2024 | 138.92 Mn |
| Jun 30, 2024 | 137.07 Mn |
| Mar 31, 2024 | 145.92 Mn |
| Dec 31, 2023 | 147.19 Mn |
| Sep 30, 2023 | 137.93 Mn |
| Jun 30, 2023 | 153.91 Mn |
| Mar 31, 2023 | 154.01 Mn |
| Dec 31, 2022 | 151.81 Mn |
| Sep 30, 2022 | 152.37 Mn |
| Jun 30, 2022 | 162.37 Mn |
| Mar 31, 2022 | 150.24 Mn |
| Dec 31, 2021 | 178.01 Mn |
| Sep 30, 2021 | 168.19 Mn |
3D Systems Total Current Liabilities 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-current-liabilities&ticker=DDD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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-current-liabilities&ticker=DDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();