3D Systems (DDD) Payables (2010 - 2026)
3D Systems (DDD) posted Payables of $32.78 million for Q3 2026, down 16.3% from $39.18 million a year earlier but up 1.1% from the prior quarter.
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Analysis
3D Systems (DDD) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, 3D Systems' Payables came in at $41.02 million, down 2.0% from FY2024.
- Annual Payables has declined for four consecutive years, with a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- In prior years, 3D Systems' Payables was $41.83 million in FY2024 (-15.9%), $49.76 million in FY2023 (-7.6%), $53.83 million in FY2022 (-6.2%) and $57.37 million in FY2021 (+27.0%).
- Quarterly Payables has run from a low of $32.43 million in Q2 2026 to a high of $62.23 million in Q2 2022 over five years.
- On a year-over-year basis, Payables has declined in each of the last 16 quarters, with an average decline of 8.4% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was Q2 2022, with growth of 29.7%; the weakest was Q2 2024, with a decline of 30.1%.
- According to Business Quant data, Payables for the three prior quarters was $32.43 million (Q2 2026), $39.4 million (Q1 2026) and $41.02 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 15.43 Bn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 5.18 Bn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | 14.11 Bn |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 7.51 Bn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 2.67 Bn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 3.04 Bn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 1.61 Bn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | 1.11 Bn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 3.24 Bn |
| 10 | 3D Systems | 314.42 Mn | -112.65 Mn | 34.78 Mn | 32.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 32.78 Mn |
| Jun 30, 2026 | 32.43 Mn |
| Mar 31, 2026 | 39.40 Mn |
| Dec 31, 2025 | 41.02 Mn |
| Sep 30, 2025 | 39.18 Mn |
| Jun 30, 2025 | 36.36 Mn |
| Mar 31, 2025 | 39.77 Mn |
| Dec 31, 2024 | 41.83 Mn |
| Sep 30, 2024 | 42.41 Mn |
| Jun 30, 2024 | 41.27 Mn |
| Mar 31, 2024 | 40.41 Mn |
| Dec 31, 2023 | 49.76 Mn |
| Sep 30, 2023 | 46.11 Mn |
| Jun 30, 2023 | 59.02 Mn |
| Mar 31, 2023 | 51.42 Mn |
| Dec 31, 2022 | 53.83 Mn |
| Sep 30, 2022 | 53.42 Mn |
| Jun 30, 2022 | 62.23 Mn |
| Mar 31, 2022 | 57.35 Mn |
| Dec 31, 2021 | 57.37 Mn |
API Access
3D Systems Payables 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=payables&ticker=DDD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=DDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();