Edap Tms (FOCL) Price to Earnings (2014 - 2022)
Edap Tms' (FOCL) Price to Earnings stood at 70.81 in Q3 2022, down 94.0% from 1177.69 a year earlier and down 16.2% from the prior quarter.
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Analysis
Edap Tms (FOCL) Price to Earnings (2014 - 2022) Analysis & Trends
For FY2021, Edap Tms' Price to Earnings came in at 241.99.
- Across earlier years, Price to Earnings came in at 76.24 in FY2019.
- The Q3 2022 figure is the lowest quarterly Price to Earnings since Q3 2019.
- Per Business Quant, the preceding three quarters came in at 84.47 (Q2 2022), 951.49 (Q1 2022) and 257.00 (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Edap Tms | 152.99 Mn | 39.72 Mn | 5.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 70.81 |
| Jun 30, 2022 | 84.47 |
| Mar 31, 2022 | 951.49 |
| Dec 31, 2021 | 257.00 |
| Sep 30, 2021 | 1,177.69 |
| Jun 30, 2021 | 1,253.22 |
| Mar 31, 2021 | 510.39 |
| Dec 31, 2019 | 76.07 |
| Sep 30, 2019 | 32.89 |
| Jun 30, 2019 | 34.17 |
| Mar 31, 2017 | 17.14 |
| Dec 31, 2016 | 21.69 |
| Sep 30, 2016 | 6.50 |
| Jun 30, 2016 | 21.38 |
| Mar 31, 2016 | 61.16 |
| Jun 30, 2015 | 25.42 |
| Sep 30, 2014 | 15.45 |
API Access
Edap Tms 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=FOCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "FOCL", "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=FOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();