Glaukos (GKOS) Other Operating Expenses (2017 - 2026)
Glaukos (GKOS) recorded Other Operating Expenses of $1.5 million in Q2 2026.
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Analysis
Glaukos (GKOS) Other Operating Expenses (2017 - 2026) Analysis & Trends
For FY2024, Glaukos reported Other Operating Expenses of $14.23 million, up 184.6% from FY2023.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 30.6% (FY2019 to FY2024).
- Across earlier years, Other Operating Expenses came in at $5 million in FY2023 (-83.3%), $30 million in FY2022 (unchanged) and $30 million in FY2021.
- The Q2 2026 figure is the highest quarterly Other Operating Expenses since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Glaukos | 9.67 Bn | 9.26 Bn | 151.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.50 Mn |
| Jun 30, 2024 | 2.50 Mn |
| Mar 31, 2024 | 11.73 Mn |
| Dec 31, 2023 | 2.00 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Mar 31, 2022 | 30.00 Mn |
| Sep 30, 2021 | 30.00 Mn |
| Jun 30, 2021 | 5.00 Mn |
| Sep 30, 2019 | 1.50 Mn |
| Jun 30, 2019 | 2.25 Mn |
| Jun 30, 2017 | 5.32 Mn |
API Access
Glaukos Other Operating Expenses 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=other-operating-expenses&ticker=GKOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();