Orthofix Medical (OFIX) Price to Earnings (2011 - 2020)
Orthofix Medical's Price to Earnings was 331.68 in Q4 2020.
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Analysis
Orthofix Medical (OFIX) Price to Earnings (2011 - 2020) Analysis & Trends
From Q1 2011 onward, Orthofix Medical has reported Price to Earnings for 23 quarters.
- In earlier years, Price to Earnings was 70.61 in FY2018 (-56.1%), 160.67 in FY2017 (-23.9%) and 211.07 in FY2016.
- The Q4 2020 figure marks the highest quarterly Price to Earnings since Q3 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Orthofix Medical | 375.12 Mn | 6.15 Mn | 149.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 331.68 |
| Sep 30, 2020 | 25.44 |
| Jun 30, 2019 | 124.32 |
| Mar 31, 2019 | 111.79 |
| Dec 31, 2018 | 70.61 |
| Sep 30, 2018 | 164.66 |
| Jun 30, 2018 | 93.99 |
| Mar 31, 2018 | 76.71 |
| Dec 31, 2017 | 160.67 |
| Sep 30, 2017 | 606.46 |
| Jun 30, 2017 | 107.16 |
| Dec 31, 2016 | 211.07 |
| Sep 30, 2016 | 79.85 |
| Mar 31, 2016 | 80.25 |
| Jun 30, 2013 | 23.56 |
| Mar 31, 2013 | 19.75 |
| Dec 31, 2012 | 17.75 |
| Sep 30, 2012 | 32.50 |
| Jun 30, 2012 | 24.92 |
| Mar 31, 2012 | 23.37 |
API Access
Orthofix 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=OFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "OFIX", "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=OFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();