3D Systems (DDD) EV to EBITDA (2011 - 2021)
3D Systems' (DDD) EV to EBITDA came in at 1271.26 for Q4 2021, up 218.4% from the prior quarter.
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Analysis
3D Systems (DDD) EV to EBITDA (2011 - 2021) Analysis & Trends
Since Q2 2011, 3D Systems has reported EV to EBITDA for 28 quarters.
- In prior years, 3D Systems' EV to EBITDA was 65.94 in FY2018 (-37.8%) and 106.07 in FY2017 (+76.7%).
- The Q4 2021 figure stands as the highest quarterly EV to EBITDA in data going back to Q2 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn |
| 10 | 3D Systems | 446.16 Mn | 41.95 Mn | 34.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 1,271.26 |
| Sep 30, 2021 | 399.25 |
| Mar 31, 2019 | 108.33 |
| Dec 31, 2018 | 65.94 |
| Sep 30, 2018 | 109.17 |
| Dec 31, 2017 | 106.07 |
| Sep 30, 2017 | 83.28 |
| Jun 30, 2017 | 74.00 |
| Mar 31, 2017 | 52.21 |
| Dec 31, 2016 | 60.04 |
| Sep 30, 2015 | 147.77 |
| Jun 30, 2015 | 46.25 |
| Mar 31, 2015 | 46.78 |
| Dec 31, 2014 | 41.46 |
| Sep 30, 2014 | 54.34 |
| Jun 30, 2014 | 58.90 |
| Mar 31, 2014 | 52.98 |
| Dec 31, 2013 | 83.43 |
| Sep 30, 2013 | 47.97 |
| Jun 30, 2013 | 43.37 |
API Access
3D Systems EV to EBITDA 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=ev-to-ebitda&ticker=DDD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=DDD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();