Glaukos (GKOS) EBITDA Margin (2014 - 2026)
Glaukos (GKOS) recorded EBITDA Margin of -1.36% in Q2 2026, up 5.31 percentage points from -6.67% a year earlier but down 1.91 percentage points from the prior quarter.
Glaukos (GKOS) EBITDA Margin (2014 - 2026) Analysis & Trends
On a TTM basis, Glaukos' EBITDA Margin came in at -19.73% as of Jun 30, 2026, down 10.84 percentage points year-over-year; for FY2025, it was -26.48%, down 10.31 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of +4.31 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at -16.17% in FY2024 (+6.11 pp), -22.29% in FY2023 (-13.16 pp), -9.13% in FY2022 (-16.51 pp) and 7.38% in FY2021 (+38.17 pp).
- Quarterly EBITDA Margin has ranged from -82.69% in Q4 2025 to 25.71% in Q1 2022 over the past five years.
- On a year-over-year basis, EBITDA Margin rose in seven of the last eight quarters, with an average year-over-year change of +2.60 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 32.38 percentage points in Q3 2021, against a drop of 69.47 percentage points in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 0.55% (Q1 2026), -82.69% (Q4 2025) and -0.66% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.16 Bn | 238.19 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 170.80 Bn | 141.23 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 161.97 Bn | 145.78 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 151.09 Bn | 130.52 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 119.39 Bn | 84.64 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 113.83 Bn | 99.95 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 65.34 Bn | 60.11 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 53.46 Bn | 50.61 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 50.71 Bn | 34.71 Bn | 1.35 Bn | 31.93% |
| 10 | Glaukos | 10.30 Bn | 9.89 Bn | 151.59 Mn | -1.36% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.36% |
| Mar 31, 2026 | 0.55% |
| Dec 31, 2025 | -82.69% |
| Sep 30, 2025 | -0.66% |
| Jun 30, 2025 | -6.67% |
| Mar 31, 2025 | -6.45% |
| Dec 31, 2024 | -13.17% |
| Sep 30, 2024 | -9.66% |
| Jun 30, 2024 | -15.13% |
| Mar 31, 2024 | -27.54% |
| Dec 31, 2023 | -36.14% |
| Sep 30, 2023 | -24.62% |
| Jun 30, 2023 | -25.31% |
| Mar 31, 2023 | -32.94% |
| Dec 31, 2022 | -0.42% |
| Sep 30, 2022 | -18.77% |
| Jun 30, 2022 | -39.25% |
| Mar 31, 2022 | 26.22% |
| Dec 31, 2021 | 20.33% |
| Sep 30, 2021 | 25.11% |
Glaukos EBITDA Margin 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=ebitda-margin&ticker=GKOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();