Glaukos (GKOS) Operating Margin (2014 - 2026)
Glaukos' Operating Margin was -9.30% in Q2 2026, up 8.98 percentage points from -18.28% a year earlier and up 3.88 percentage points from the prior quarter.
Powered by 
Analysis
Glaukos (GKOS) Operating Margin (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Glaukos' Operating Margin was -31.55% through Jun 30, 2026, down 9.22 percentage points year-over-year; for FY2025, it was -39.33%, down 7.43 percentage points from FY2024.
- Operating Margin shows a five-year change of +15.59 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was -31.91% in FY2024 (+8.99 pp), -40.89% in FY2023 (-11.79 pp), -29.10% in FY2022 (-17.92 pp) and -11.18% in FY2021 (+43.74 pp).
- The Q2 2026 figure marks the highest quarterly Operating Margin since Q1 2022.
- Compared with a year earlier, Operating Margin was higher in seven of the last eight quarters, with an average year-over-year change of +3.41 percentage points.
- The best year-over-year quarter for Operating Margin over five years was Q3 2021 (a gain of 33.81 percentage points); the worst was Q4 2025 (a drop of 70.56 percentage points).
- Per Business Quant data, GKOS's Operating Margin in the three quarters before Q2 2026 was -13.19% (Q1 2026), -97.73% (Q4 2025) and -12.26% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 29.48% |
| 10 | Glaukos | 9.33 Bn | 8.92 Bn | 151.59 Mn | -9.30% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.30% |
| Mar 31, 2026 | -13.19% |
| Dec 31, 2025 | -97.73% |
| Sep 30, 2025 | -12.26% |
| Jun 30, 2025 | -18.28% |
| Mar 31, 2025 | -19.39% |
| Dec 31, 2024 | -27.17% |
| Sep 30, 2024 | -25.51% |
| Jun 30, 2024 | -31.32% |
| Mar 31, 2024 | -45.63% |
| Dec 31, 2023 | -46.89% |
| Sep 30, 2023 | -35.89% |
| Jun 30, 2023 | -36.16% |
| Mar 31, 2023 | -44.65% |
| Dec 31, 2022 | -47.36% |
| Sep 30, 2022 | -30.32% |
| Jun 30, 2022 | -50.57% |
| Mar 31, 2022 | 14.47% |
| Dec 31, 2021 | -24.40% |
| Sep 30, 2021 | 14.76% |
API Access
Glaukos Operating 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=operating-margin&ticker=GKOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();