Glaukos (GKOS) EV to EBITDA (2016 - 2022)
Glaukos' (GKOS) EV to EBITDA was 89.72 for Q2 2022, down 75.6% from 368.12 a year earlier but up 54.0% from the prior quarter.
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Analysis
Glaukos (GKOS) EV to EBITDA (2016 - 2022) Analysis & Trends
Over the twelve months ended Jun 30, 2022, Glaukos' EV to EBITDA came in at 75.72, down 77.8% year-over-year; for FY2021, it was 86.09.
- By year, EV to EBITDA came in at 268.07 in FY2017 (+112.4%).
- Five-year quarterly EV to EBITDA spans a low of 58.27 in Q1 2022 and a high of 378.32 in Q3 2017.
- Per Business Quant data, the three quarters before Q2 2022 came in at 58.27 (Q1 2022), 86.09 (Q4 2021) and 68.11 (Q3 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn |
| 10 | Glaukos | 14.11 Bn | 13.64 Bn | 179.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 89.72 |
| Mar 31, 2022 | 58.27 |
| Dec 31, 2021 | 86.09 |
| Sep 30, 2021 | 68.11 |
| Jun 30, 2021 | 368.12 |
| Dec 31, 2017 | 268.07 |
| Sep 30, 2017 | 378.32 |
| Jun 30, 2017 | 489.47 |
| Mar 31, 2017 | 204.43 |
| Dec 31, 2016 | 129.17 |
| Sep 30, 2016 | 200.46 |
| Jun 30, 2016 | 279.36 |
API Access
Glaukos EV to EBITDA 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-ebitda&ticker=GKOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();