Glaukos (GKOS) Total Non-Current Liabilities (2014 - 2026)
Glaukos (GKOS) reported Total Non-Current Liabilities of $205.61 million for Q2 2026, up 7.6% from $191.07 million a year earlier and up 6.6% from the prior quarter.
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Analysis
Glaukos (GKOS) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Glaukos posted Total Non-Current Liabilities of $205.59 million, up 10.9% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $185.45 million in FY2024 (-60.1%), $464.9 million in FY2023 (+0.6%), $462.1 million in FY2022 (+2.0%) and $453.05 million in FY2021 (+36.9%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q3 2024.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with an average decline of 22.3% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2021 (growth of 38.9%); the low point was Q1 2025 (a decline of 60.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $192.91 million (Q1 2026), $205.59 million (Q4 2025) and $198.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Glaukos | 9.34 Bn | 8.93 Bn | 151.59 Mn | 205.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 205.61 Mn |
| Mar 31, 2026 | 192.91 Mn |
| Dec 31, 2025 | 205.59 Mn |
| Sep 30, 2025 | 198.75 Mn |
| Jun 30, 2025 | 191.07 Mn |
| Mar 31, 2025 | 180.93 Mn |
| Dec 31, 2024 | 185.45 Mn |
| Sep 30, 2024 | 235.95 Mn |
| Jun 30, 2024 | 233.84 Mn |
| Mar 31, 2024 | 462.90 Mn |
| Dec 31, 2023 | 464.90 Mn |
| Sep 30, 2023 | 458.18 Mn |
| Jun 30, 2023 | 455.02 Mn |
| Mar 31, 2023 | 452.89 Mn |
| Dec 31, 2022 | 462.10 Mn |
| Sep 30, 2022 | 450.42 Mn |
| Jun 30, 2022 | 459.35 Mn |
| Mar 31, 2022 | 445.18 Mn |
| Dec 31, 2021 | 453.05 Mn |
| Sep 30, 2021 | 454.10 Mn |
API Access
Glaukos Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GKOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();