Scientific Industries (SCND) EV to EBITDA (2011 - 2020)
Scientific Industries' EV to EBITDA was 51.48 in Q3 2020, compared with 4.25 a year earlier and up 268.3% from the prior quarter.
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Analysis
Scientific Industries (SCND) EV to EBITDA (2011 - 2020) Analysis & Trends
On a trailing twelve-month basis, Scientific Industries' EV to EBITDA was 33.39 through Mar 31, 2020; for FY2019, it came in at 4.72, down 57.5% from FY2018.
- In earlier years, EV to EBITDA was 11.10 in FY2018 (-38.4%), 18.03 in FY2017 (+325.3%), 4.24 in FY2016 (-47.9%) and 8.14 in FY2015 (-72.7%).
- The Q3 2020 figure marks the highest quarterly EV to EBITDA in data going back to Q4 2011.
- Compared with a year earlier, EV to EBITDA was higher in two of the last four quarters, with growth averaging 71.7%.
- The best year-over-year quarter for EV to EBITDA over five years was Q4 2017 (growth of 325.6%); the worst was Q4 2015 (a decline of 72.7%).
- Per Business Quant data, SCND's EV to EBITDA in the three quarters before Q3 2020 was 13.98 (Q2 2020), 10.89 (Q1 2020) and 4.72 (Q4 2019).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 51.48 |
| Dec 31, 2019 | 13.98 |
| Sep 30, 2019 | 10.89 |
| Jun 30, 2019 | 4.72 |
| Mar 31, 2019 | 4.25 |
| Dec 31, 2018 | 4.14 |
| Sep 30, 2018 | 4.44 |
| Jun 30, 2018 | 11.10 |
| Jun 30, 2017 | 18.03 |
| Mar 31, 2017 | 4.45 |
| Dec 31, 2016 | 5.87 |
| Sep 30, 2016 | 5.68 |
| Jun 30, 2016 | 4.24 |
| Mar 31, 2016 | 3.61 |
| Dec 31, 2015 | 3.52 |
| Sep 30, 2015 | 6.43 |
| Jun 30, 2015 | 8.14 |
| Jun 30, 2014 | 29.77 |
| Mar 31, 2014 | 13.03 |
| Dec 31, 2013 | 4.17 |
API Access
Scientific Industries 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=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();