Glaukos (GKOS) EBITDA Margin (2014 - 2026)
Glaukos (GKOS) recorded EBITDA Margin of 7.43% in Q3 2026, up 8.08 percentage points from -0.66% a year earlier and up 8.78 percentage points from the prior quarter.
Glaukos (GKOS) EBITDA Margin (2014 - 2026) Analysis & Trends
On a TTM basis, Glaukos' EBITDA Margin came in at -15.12% as of Sep 30, 2026, down 8.75 percentage points year-over-year; for FY2025, it was -26.48%, down 10.50 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of +1.81 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at -15.98% in FY2024 (+5.86 pp), -21.85% in FY2023 (-13.20 pp), -8.64% in FY2022 (-16.49 pp) and 7.85% in FY2021 (+36.14 pp).
- The Q3 2026 figure is the highest quarterly EBITDA Margin since Q1 2022.
- On a year-over-year basis, EBITDA Margin has increased for three consecutive quarters, with an average year-over-year change of +1.55 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 32.23 percentage points in Q1 2022, against a drop of 69.52 percentage points in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -1.36% (Q2 2026), 0.55% (Q1 2026) and -82.69% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 25.44% |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 20.09% |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 30.00% |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 25.90% |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 20.38% |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 23.14% |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 20.05% |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 24.62% |
| 10 | Glaukos | 14.11 Bn | 13.64 Bn | 179.87 Mn | 7.43% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.43% |
| 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% |
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();