3D Systems (DDD) Total Current Liabilities (2010 - 2026)
3D Systems (DDD) recorded Total Current Liabilities of $121.84 million in Q3 2026, down 7.9% from $132.35 million a year earlier but up 13.2% 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%).
- Quarterly Total Current Liabilities has ranged from $107.6 million in Q2 2026 to $178.01 million in Q4 2021 over the past five years.
- On a year-over-year basis, Total Current Liabilities has declined for five consecutive quarters, with an average decline of 8.5% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 3.1% in Q2 2025, against a decline of 23.9% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $107.6 million (Q2 2026), $123.41 million (Q1 2026) and $120.62 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 40.67 Bn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 10.04 Bn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 12.99 Bn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 9.22 Bn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 11.87 Bn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 10.77 Bn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | 5.10 Bn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 8.71 Bn |
| 10 | 3D Systems | 314.42 Mn | -112.65 Mn | 34.78 Mn | 121.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 121.84 Mn |
| 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 |
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();