Microbot Medical (MBOT) Price to Earnings (2016 - 2019)
Microbot Medical's Price to Earnings came in at 5.99 for FY2019, up 709.7% from 0.74 in FY2018.
Analysis
Microbot Medical (MBOT) Price to Earnings (2016 - 2019) Analysis & Trends
Going back to FY2015, Microbot Medical's Price to Earnings data covers 5 years.
- The FY2019 figure represents the highest annual Price to Earnings since FY2016.
- Per Business Quant, earlier years put Price to Earnings at 0.74 in FY2018 (-85.4%), 5.07 in FY2017 (-70.0%), 16.93 in FY2016 (-79.7%) and 83.36 in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Microbot Medical | 77.90 Mn | 77.90 Mn | 2,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 3.50 |
| Jun 30, 2019 | 3.32 |
| Mar 31, 2019 | 5.21 |
| Dec 31, 2018 | 0.53 |
| Sep 30, 2018 | 2.64 |
| Jun 30, 2018 | 3.46 |
| Mar 31, 2018 | 3.35 |
| Dec 31, 2017 | 3.65 |
| Sep 30, 2017 | 9.02 |
| Jun 30, 2017 | 6.40 |
| Mar 31, 2017 | 19.57 |
| Dec 31, 2016 | 13.94 |
| Sep 30, 2016 | 0.83 |
| Jun 30, 2016 | 0.27 |
| Mar 31, 2016 | 4.21 |
API Access
Microbot Medical 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=MBOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "MBOT", "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=MBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();