3D Systems (DDD) Other Operating Expenses (2010 - 2025)
3D Systems (DDD) reported Other Operating Expenses of $760,000 for Q4 2025, down 38.4% from $1.23 million a year earlier.
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Analysis
3D Systems (DDD) Other Operating Expenses (2010 - 2025) Analysis & Trends
Dating back to Q4 2010, 3D Systems' Other Operating Expenses record includes 10 quarters.
- Other Operating Expenses has a five-year compound annual growth rate of -56.4% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $144.97 million in FY2024 (-52.1%) and $302.79 million in FY2023.
- The Q4 2025 figure ranks as the lowest quarterly Other Operating Expenses since Q1 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 337.14 Bn | 308.83 Bn | 7.76 Bn |
| 2 | Amphenol | 196.52 Bn | 191.10 Bn | 3.55 Bn |
| 3 | Deere | 169.79 Bn | 137.88 Bn | 4.66 Bn |
| 4 | Eaton | 152.20 Bn | 149.38 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.08 Bn | 118.20 Bn | 2.25 Bn |
| 6 | Emerson Electric | 90.92 Bn | 83.66 Bn | 2.66 Bn |
| 7 | 3M | 88.73 Bn | 70.13 Bn | 2.68 Bn |
| 8 | Vertiv Holdings | 82.11 Bn | 72.73 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 78.99 Bn | 75.55 Bn | 1.90 Bn |
| 10 | 3D Systems | 455.10 Mn | 50.89 Mn | 34.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 760,000.00 |
| Dec 31, 2024 | 1.23 Mn |
| Sep 30, 2024 | 143.73 Mn |
| Dec 31, 2023 | 289.19 Mn |
| Sep 30, 2023 | 13.60 Mn |
| Sep 30, 2020 | 48.30 Mn |
| Mar 31, 2018 | 1,000.00 |
| Dec 31, 2015 | 537.18 Mn |
| Dec 31, 2011 | 1,000.00 |
| Dec 31, 2010 | -1,000.00 |
API Access
3D Systems Other Operating Expenses 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=other-operating-expenses&ticker=DDD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=DDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();