Inogen (INGN) Price to Earnings (2014 - 2021)
Inogen's Price to Earnings came in at 85.71 for Q3 2021.
Analysis
Inogen (INGN) Price to Earnings (2014 - 2021) Analysis & Trends
For FY2019, Inogen's Price to Earnings was 71.86, up 37.8% from FY2018.
- Going back by year, Price to Earnings was 52.16 in FY2018 (-56.1%), 118.93 in FY2017 (+78.2%), 66.75 in FY2016 (-2.5%) and 68.46 in FY2015 (-21.8%).
- The Q3 2021 figure represents the highest quarterly Price to Earnings since Q2 2020.
- The fastest year-over-year change in Price to Earnings over five years came in Q2 2020 (growth of 246.5%), and the weakest in Q3 2019 (a decline of 74.4%).
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 | Inogen | 159.58 Mn | -298.93 Mn | 43.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 85.71 |
| Jun 30, 2020 | 120.97 |
| Mar 31, 2020 | 81.00 |
| Dec 31, 2019 | 71.86 |
| Sep 30, 2019 | 32.56 |
| Jun 30, 2019 | 34.91 |
| Mar 31, 2019 | 45.09 |
| Dec 31, 2018 | 52.16 |
| Sep 30, 2018 | 127.43 |
| Jun 30, 2018 | 123.76 |
| Mar 31, 2018 | 100.90 |
| Dec 31, 2017 | 118.93 |
| Sep 30, 2017 | 73.81 |
| Jun 30, 2017 | 79.76 |
| Mar 31, 2017 | 66.63 |
| Dec 31, 2016 | 66.75 |
| Sep 30, 2016 | 63.43 |
| Jun 30, 2016 | 60.70 |
| Mar 31, 2016 | 71.33 |
| Dec 31, 2015 | 68.46 |
API Access
Inogen 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=INGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "INGN", "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=INGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();