Glaukos (GKOS) Non-Current Assets (2014 - 2026)
Glaukos (GKOS) posted Non-Current Assets of $404.74 million for Q2 2026, down 26.5% from $550.89 million a year earlier and down 0.7% from the prior quarter.
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Analysis
Glaukos (GKOS) Non-Current Assets (2014 - 2026) Analysis & Trends
At the end of FY2025, Glaukos' Non-Current Assets came in at $418.5 million, down 20.3% from FY2024.
- Annual Non-Current Assets has declined for four consecutive years, with a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- In prior years, Glaukos' Non-Current Assets was $524.96 million in FY2024 (-3.7%), $544.95 million in FY2023 (-2.4%), $558.52 million in FY2022 (-0.9%) and $563.57 million in FY2021 (+5.1%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q3 2019.
- On a year-over-year basis, Non-Current Assets has declined in each of the last three quarters, with an average decline of 9.3% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2021, with growth of 5.1%; the weakest was Q2 2026, with a decline of 26.5%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $407.57 million (Q1 2026), $418.5 million (Q4 2025) and $544.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Glaukos | 9.33 Bn | 8.92 Bn | 151.59 Mn | 404.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 404.74 Mn |
| Mar 31, 2026 | 407.57 Mn |
| Dec 31, 2025 | 418.50 Mn |
| Sep 30, 2025 | 544.61 Mn |
| Jun 30, 2025 | 550.89 Mn |
| Mar 31, 2025 | 521.63 Mn |
| Dec 31, 2024 | 524.96 Mn |
| Sep 30, 2024 | 529.26 Mn |
| Jun 30, 2024 | 535.89 Mn |
| Mar 31, 2024 | 544.73 Mn |
| Dec 31, 2023 | 544.95 Mn |
| Sep 30, 2023 | 549.11 Mn |
| Jun 30, 2023 | 555.48 Mn |
| Mar 31, 2023 | 556.71 Mn |
| Dec 31, 2022 | 558.52 Mn |
| Sep 30, 2022 | 559.63 Mn |
| Jun 30, 2022 | 560.18 Mn |
| Mar 31, 2022 | 560.87 Mn |
| Dec 31, 2021 | 563.57 Mn |
| Sep 30, 2021 | 562.32 Mn |
API Access
Glaukos Non-Current Assets 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=non-current-assets&ticker=GKOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();