Stratasys (SSYS) EV to EBITDA (2012 - 2023)
Stratasys' (SSYS) EV to EBITDA was 459.62 for Q1 2023, up 156.4% from the prior quarter.
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Analysis
Stratasys (SSYS) EV to EBITDA (2012 - 2023) Analysis & Trends
Over the twelve months ended Mar 31, 2023, Stratasys' EV to EBITDA came in at -164.26; for FY2022, it was 179.23.
- By year, EV to EBITDA came in at 19.88 in FY2019 (+80.2%) and 11.03 in FY2018 (-46.4%).
- The Q1 2023 figure ranks as the highest quarterly EV to EBITDA in data going back to Q3 2012.
- The high point for year-over-year EV to EBITDA in five years was Q4 2019 (growth of 80.2%); the low point was Q2 2018 (a decline of 78.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 255.56 Bn | 227.26 Bn | 7.76 Bn |
| 2 | Deere | 179.70 Bn | 147.79 Bn | 4.66 Bn |
| 3 | Amphenol | 177.67 Bn | 172.37 Bn | 4.02 Bn |
| 4 | Eaton | 127.13 Bn | 124.07 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 113.68 Bn | 111.80 Bn | 2.25 Bn |
| 6 | 3M | 97.60 Bn | 79.05 Bn | 2.78 Bn |
| 7 | Emerson Electric | 91.05 Bn | 83.78 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 81.41 Bn | 78.08 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 68.19 Bn | 57.04 Bn | 1.64 Bn |
| 10 | Stratasys | 499.81 Mn | -450.00 Mn | 58.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 459.62 |
| Dec 31, 2022 | 179.23 |
| Mar 31, 2020 | 24.29 |
| Dec 31, 2019 | 19.88 |
| Sep 30, 2019 | 19.53 |
| Jun 30, 2019 | 23.06 |
| Mar 31, 2019 | 17.32 |
| Dec 31, 2018 | 11.03 |
| Sep 30, 2018 | 17.23 |
| Jun 30, 2018 | 15.82 |
| Mar 31, 2018 | 17.95 |
| Dec 31, 2017 | 20.58 |
| Sep 30, 2017 | 47.67 |
| Jun 30, 2017 | 71.81 |
| Mar 31, 2017 | 102.19 |
| Dec 31, 2016 | 96.10 |
| Sep 30, 2014 | 122.55 |
| Jun 30, 2014 | 52.63 |
| Mar 31, 2014 | 43.62 |
| Dec 31, 2013 | 50.22 |
API Access
Stratasys 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=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "SSYS", "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=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();