Glaukos (GKOS) Cash & Equivalents (2014 - 2026)
Glaukos' Cash & Equivalents came in at $114.49 million for Q2 2026, up 13.6% from $100.81 million a year earlier and up 9.8% from the prior quarter.
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Analysis
Glaukos (GKOS) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025, Glaukos' Cash & Equivalents was $90.81 million, down 46.5% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $169.63 million in FY2024 (+81.5%), $93.47 million in FY2023 (-21.8%), $119.53 million in FY2022 (+18.7%) and $100.71 million in FY2021 (+4.3%).
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents since Q4 2024.
- Year-over-year, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 30.9%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2025 (growth of 168.9%), and the weakest in Q4 2025 (a decline of 46.5%).
- Business Quant data shows GKOS's Cash & Equivalents at $104.25 million (Q1 2026), $90.81 million (Q4 2025) and $98.25 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Glaukos | 9.60 Bn | 9.19 Bn | 151.59 Mn | 114.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.49 Mn |
| Mar 31, 2026 | 104.25 Mn |
| Dec 31, 2025 | 90.81 Mn |
| Sep 30, 2025 | 98.25 Mn |
| Jun 30, 2025 | 100.81 Mn |
| Mar 31, 2025 | 114.25 Mn |
| Dec 31, 2024 | 169.63 Mn |
| Sep 30, 2024 | 100.14 Mn |
| Jun 30, 2024 | 68.08 Mn |
| Mar 31, 2024 | 42.50 Mn |
| Dec 31, 2023 | 93.47 Mn |
| Sep 30, 2023 | 108.93 Mn |
| Jun 30, 2023 | 94.81 Mn |
| Mar 31, 2023 | 76.40 Mn |
| Dec 31, 2022 | 119.53 Mn |
| Sep 30, 2022 | 104.02 Mn |
| Jun 30, 2022 | 102.55 Mn |
| Mar 31, 2022 | 106.20 Mn |
| Dec 31, 2021 | 100.71 Mn |
| Sep 30, 2021 | 113.13 Mn |
API Access
Glaukos Cash & Equivalents 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=cash-and-equivalents&ticker=GKOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();