Glaukos (GKOS) Return on Capital Employed [ROCE] (2015 - 2026)
Glaukos (GKOS) posted Return on Capital Employed [ROCE] of -24.03% for Q2 2026, down 13.26 percentage points from -10.77% a year earlier but up 0.69 percentage points from the prior quarter.
Glaukos (GKOS) Return on Capital Employed [ROCE] (2015 - 2026) Analysis & Trends
For FY2025, Glaukos' Return on Capital Employed [ROCE] came in at -23.97%, down 10.10 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -9.64 percentage points (FY2020 to FY2025).
- In prior years, Glaukos' Return on Capital Employed [ROCE] was -13.87% in FY2024 (+0.48 pp), -14.34% in FY2023 (-5.71 pp), -8.63% in FY2022 (-5.22 pp) and -3.41% in FY2021 (+10.92 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -24.72% in Q1 2026 to a high of -1.13% in Q1 2022 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last three quarters, with an average year-over-year change of -2.74 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2022, with a gain of 11.06 percentage points; the weakest was Q2 2026, with a drop of 13.26 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -24.72% (Q1 2026), -23.62% (Q4 2025) and -9.76% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | Glaukos | 9.63 Bn | 9.23 Bn | 151.59 Mn | -24.03% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -24.03% |
| Mar 31, 2026 | -24.72% |
| Dec 31, 2025 | -23.62% |
| Sep 30, 2025 | -9.76% |
| Jun 30, 2025 | -10.77% |
| Mar 31, 2025 | -11.53% |
| Dec 31, 2024 | -13.98% |
| Sep 30, 2024 | -15.54% |
| Jun 30, 2024 | -15.84% |
| Mar 31, 2024 | -15.59% |
| Dec 31, 2023 | -14.78% |
| Sep 30, 2023 | -13.98% |
| Jun 30, 2023 | -13.03% |
| Mar 31, 2023 | -13.52% |
| Dec 31, 2022 | -8.82% |
| Sep 30, 2022 | -6.93% |
| Jun 30, 2022 | -3.48% |
| Mar 31, 2022 | -1.13% |
| Dec 31, 2021 | -3.31% |
| Sep 30, 2021 | -2.66% |
Glaukos Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=GKOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();