Scientific Industries (SCND) Price to Earnings (2011 - 2019)
Scientific Industries' (SCND) Price to Earnings was 34.35 for Q2 2020, up 158.4% from 13.29 a year earlier and up 57.9% from the prior quarter.
Analysis
Scientific Industries (SCND) Price to Earnings (2011 - 2019) Analysis & Trends
For FY2019, Price to Earnings at Scientific Industries was 10.55.
- By year, Price to Earnings came in at 26.52 in FY2016 (-94.5%) and 478.69 in FY2015.
- The Q2 2020 figure ranks as the highest quarterly Price to Earnings since Q2 2017.
- Per Business Quant data, the three quarters before Q2 2020 came in at 21.76 (Q1 2020), 10.55 (Q4 2019) and 12.34 (Q3 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 34.35 |
| Sep 30, 2019 | 21.76 |
| Jun 30, 2019 | 10.55 |
| Mar 31, 2019 | 12.34 |
| Dec 31, 2018 | 13.29 |
| Sep 30, 2018 | 24.73 |
| Mar 31, 2017 | 19.39 |
| Dec 31, 2016 | 35.42 |
| Sep 30, 2016 | 28.15 |
| Jun 30, 2016 | 26.52 |
| Mar 31, 2016 | 15.02 |
| Dec 31, 2015 | 11.86 |
| Sep 30, 2015 | 41.05 |
| Jun 30, 2015 | 478.69 |
| Mar 31, 2014 | 29.47 |
| Dec 31, 2013 | 10.72 |
| Sep 30, 2013 | 9.93 |
| Jun 30, 2013 | 10.44 |
| Mar 31, 2013 | 13.00 |
| Dec 31, 2012 | 20.61 |
API Access
Scientific Industries Price to Earnings 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=price-to-earnings&ticker=SCND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();