3D Systems (DDD) Receivables (2010 - 2026)
3D Systems (DDD) posted Receivables of $86.23 million for Q3 2026, down 2.1% from $88.07 million a year earlier but up 7.6% from the prior quarter.
Analysis
3D Systems (DDD) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, 3D Systems' Receivables came in at $83.81 million, down 17.4% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- In prior years, 3D Systems' Receivables was $101.47 million in FY2024 (unchanged), $101.5 million in FY2023 (+7.3%), $94.56 million in FY2022 (-11.2%) and $106.54 million in FY2021 (-6.8%).
- Quarterly Receivables has run from a low of $80.17 million in Q2 2026 to a high of $111.9 million in Q3 2023 over five years.
- On a year-over-year basis, Receivables has declined in each of the last six quarters, with an average decline of 8.0% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q2 2022, with growth of 20.8%; the weakest was Q1 2026, with a decline of 17.6%.
- According to Business Quant data, Receivables for the three prior quarters was $80.17 million (Q2 2026), $86.24 million (Q1 2026) and $83.81 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 13.44 Bn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 7.78 Bn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | 10.19 Bn |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 8.31 Bn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 3.77 Bn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 4.12 Bn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 3.65 Bn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | 3.52 Bn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 4.38 Bn |
| 10 | 3D Systems | 314.42 Mn | -112.65 Mn | 34.78 Mn | 86.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 86.23 Mn |
| Jun 30, 2026 | 80.17 Mn |
| Mar 31, 2026 | 86.24 Mn |
| Dec 31, 2025 | 83.81 Mn |
| Sep 30, 2025 | 88.07 Mn |
| Jun 30, 2025 | 97.11 Mn |
| Mar 31, 2025 | 104.69 Mn |
| Dec 31, 2024 | 101.47 Mn |
| Sep 30, 2024 | 99.22 Mn |
| Jun 30, 2024 | 97.45 Mn |
| Mar 31, 2024 | 102.79 Mn |
| Dec 31, 2023 | 101.50 Mn |
| Sep 30, 2023 | 111.90 Mn |
| Jun 30, 2023 | 98.05 Mn |
| Mar 31, 2023 | 94.68 Mn |
| Dec 31, 2022 | 94.56 Mn |
| Sep 30, 2022 | 100.31 Mn |
| Jun 30, 2022 | 107.01 Mn |
| Mar 31, 2022 | 100.34 Mn |
| Dec 31, 2021 | 106.54 Mn |
API Access
3D Systems Receivables 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=receivables&ticker=DDD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();