Glaukos (GKOS) Other Non-Current Assets (2017 - 2026)
Glaukos (GKOS) reported Other Non-Current Assets of $23.4 million for Q2 2026, up 36.0% from $17.2 million a year earlier and up 18.2% from the prior quarter.
Glaukos (GKOS) Other Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Glaukos posted Other Non-Current Assets of $19.5 million, up 32.7% from FY2024.
- Other Non-Current Assets has increased for three consecutive years, with a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- By year, Other Non-Current Assets came in at $14.7 million in FY2024 (+26.7%), $11.6 million in FY2023 (+38.1%), $8.4 million in FY2022 (-10.8%) and $9.42 million in FY2021 (-1.6%).
- The Q2 2026 figure ranks as the highest quarterly Other Non-Current Assets in data going back to Q2 2017.
- Year over year, Other Non-Current Assets has now increased in each of the last 13 quarters, with growth averaging 30.1% over the last eight quarters.
- The high point for year-over-year Other Non-Current Assets in five years was Q3 2024 (growth of 42.3%); the low point was Q4 2022 (a decline of 10.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.8 million (Q1 2026), $19.5 million (Q4 2025) and $18.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.62 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.39 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.32 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.23 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 616.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 2.55 Bn |
| 10 | Glaukos | 9.67 Bn | 9.26 Bn | 151.59 Mn | 23.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.40 Mn |
| Mar 31, 2026 | 19.80 Mn |
| Dec 31, 2025 | 19.50 Mn |
| Sep 30, 2025 | 18.70 Mn |
| Jun 30, 2025 | 17.20 Mn |
| Mar 31, 2025 | 15.10 Mn |
| Dec 31, 2024 | 14.70 Mn |
| Sep 30, 2024 | 14.80 Mn |
| Jun 30, 2024 | 13.70 Mn |
| Mar 31, 2024 | 12.60 Mn |
| Dec 31, 2023 | 11.60 Mn |
| Sep 30, 2023 | 10.40 Mn |
| Jun 30, 2023 | 10.50 Mn |
| Mar 31, 2023 | 9.00 Mn |
| Dec 31, 2022 | 8.40 Mn |
| Sep 30, 2022 | 9.08 Mn |
| Jun 30, 2022 | 9.13 Mn |
| Mar 31, 2022 | 9.42 Mn |
| Dec 31, 2021 | 9.42 Mn |
| Sep 30, 2021 | 9.42 Mn |
Glaukos Other 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=other-non-current-assets&ticker=GKOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();