Scientific Industries (SCND) EV to EBIT (2011 - 2020)
Scientific Industries' (SCND) EV to EBIT stood at 127.97 in Q3 2020, compared with 5.65 a year earlier and up 576.1% from the prior quarter.
Scientific Industries (SCND) EV to EBIT (2011 - 2020) Analysis & Trends
On a TTM basis, Scientific Industries' EV to EBIT came in at 82.99 as of Mar 31, 2020; for FY2019, it came in at 6.29.
- Across earlier years, EV to EBIT came in at 11.66 in FY2016.
- The Q3 2020 figure is the highest quarterly EV to EBIT since Q2 2012.
- Per Business Quant, the preceding three quarters came in at 18.93 (Q2 2020), 15.51 (Q1 2020) and 6.29 (Q4 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 127.97 |
| Dec 31, 2019 | 18.93 |
| Sep 30, 2019 | 15.51 |
| Jun 30, 2019 | 6.29 |
| Mar 31, 2019 | 5.65 |
| Dec 31, 2018 | 6.15 |
| Sep 30, 2018 | 7.27 |
| Mar 31, 2017 | 10.60 |
| Dec 31, 2016 | 20.70 |
| Sep 30, 2016 | 15.80 |
| Jun 30, 2016 | 11.66 |
| Mar 31, 2016 | 7.57 |
| Dec 31, 2015 | 6.78 |
| Sep 30, 2015 | 25.30 |
| Mar 31, 2014 | 21.84 |
| Dec 31, 2013 | 5.45 |
| Sep 30, 2013 | 4.92 |
| Jun 30, 2013 | 4.54 |
| Mar 31, 2013 | 5.94 |
| Dec 31, 2012 | 10.01 |
Scientific Industries EV to EBIT 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-ebit&ticker=SCND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "ticker": "SCND", "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-ebit&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();