Glaukos (GKOS) Operating Leases (2019 - 2026)
Glaukos (GKOS) reported Operating Leases of $35.49 million for Q2 2026, down 2.0% from $36.2 million a year earlier but up 0.5% from the prior quarter.
Analysis
Glaukos (GKOS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Glaukos posted Operating Leases of $35.77 million, up 5.4% from FY2024.
- Operating Leases has increased for three consecutive years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- By year, Operating Leases came in at $33.94 million in FY2024 (+11.5%), $30.43 million in FY2023 (+5.3%), $28.91 million in FY2022 (-2.5%) and $29.65 million in FY2021 (+43.2%).
- Five-year quarterly Operating Leases spans a low of $28.91 million in Q4 2022 and a high of $36.32 million in Q1 2025.
- Year over year, Operating Leases gained in six of the last eight quarters, with growth averaging 8.9%.
- The high point for year-over-year Operating Leases in five years was Q3 2021 (growth of 59.5%); the low point was Q2 2024 (a decline of 2.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $35.31 million (Q1 2026), $35.77 million (Q4 2025) and $35.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Glaukos | 9.33 Bn | 8.92 Bn | 151.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.49 Mn |
| Mar 31, 2026 | 35.31 Mn |
| Dec 31, 2025 | 35.77 Mn |
| Sep 30, 2025 | 35.85 Mn |
| Jun 30, 2025 | 36.20 Mn |
| Mar 31, 2025 | 36.32 Mn |
| Dec 31, 2024 | 33.94 Mn |
| Sep 30, 2024 | 30.66 Mn |
| Jun 30, 2024 | 29.91 Mn |
| Mar 31, 2024 | 30.11 Mn |
| Dec 31, 2023 | 30.43 Mn |
| Sep 30, 2023 | 30.57 Mn |
| Jun 30, 2023 | 30.77 Mn |
| Mar 31, 2023 | 29.48 Mn |
| Dec 31, 2022 | 28.91 Mn |
| Sep 30, 2022 | 29.13 Mn |
| Jun 30, 2022 | 29.36 Mn |
| Mar 31, 2022 | 29.30 Mn |
| Dec 31, 2021 | 29.65 Mn |
| Sep 30, 2021 | 29.89 Mn |
API Access
Glaukos Operating Leases 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-leases&ticker=GKOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();