Glaukos (GKOS) EV to CFO (2016 - 2022)
Glaukos' (GKOS) EV to CFO was 191.58 for Q2 2022, down 36.9% from 303.39 a year earlier but up 121.9% from the prior quarter.
Glaukos (GKOS) EV to CFO (2016 - 2022) Analysis & Trends
Over the twelve months ended Jun 30, 2022, Glaukos' EV to CFO came in at 161.69, down 42.6% year-over-year; for FY2021, it was 80.40.
- By year, EV to CFO came in at 105.93 in FY2018 (+220.1%) and 33.09 in FY2017 (-64.8%).
- Five-year quarterly EV to CFO spans a low of 33.09 in Q4 2017 and a high of 303.39 in Q2 2021.
- The high point for year-over-year EV to CFO in five years was Q4 2018 (growth of 220.1%); the low point was Q4 2017 (a decline of 64.8%).
- Per Business Quant data, the three quarters before Q2 2022 came in at 86.34 (Q1 2022), 80.40 (Q4 2021) and 53.66 (Q3 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Glaukos | 10.41 Bn | 10.00 Bn | 151.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 191.58 |
| Mar 31, 2022 | 86.34 |
| Dec 31, 2021 | 80.40 |
| Sep 30, 2021 | 53.66 |
| Jun 30, 2021 | 303.39 |
| Sep 30, 2019 | 108.26 |
| Jun 30, 2019 | 96.20 |
| Mar 31, 2019 | 110.24 |
| Dec 31, 2018 | 105.93 |
| Sep 30, 2018 | 161.78 |
| Jun 30, 2018 | 83.38 |
| Mar 31, 2018 | 61.12 |
| Dec 31, 2017 | 33.09 |
| Sep 30, 2017 | 66.30 |
| Jun 30, 2017 | 102.17 |
| Mar 31, 2017 | 112.38 |
| Dec 31, 2016 | 94.06 |
| Sep 30, 2016 | 147.98 |
| Jun 30, 2016 | 238.38 |
Glaukos EV to CFO 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=ev-to-cfo&ticker=GKOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "GKOS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-cfo&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();