Glaukos (GKOS) Total Liabilities (2014 - 2026)
Glaukos (GKOS) reported Total Liabilities of $238.04 million for Q2 2026, up 7.3% from $221.85 million a year earlier and up 7.0% from the prior quarter.
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Analysis
Glaukos (GKOS) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Glaukos posted Total Liabilities of $237.33 million, up 14.2% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -6.8% (FY2020 to FY2025).
- By year, Total Liabilities came in at $207.83 million in FY2024 (-56.6%), $478.65 million in FY2023 (+1.3%), $472.38 million in FY2022 (+2.1%) and $462.55 million in FY2021 (+36.8%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q3 2024.
- Year over year, Total Liabilities has now increased in each of the last three quarters, with an average decline of 19.0% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2021 (growth of 39.1%); the low point was Q1 2025 (a decline of 58.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $222.4 million (Q1 2026), $237.33 million (Q4 2025) and $229.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Glaukos | 9.33 Bn | 8.92 Bn | 151.59 Mn | 238.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 238.04 Mn |
| Mar 31, 2026 | 222.40 Mn |
| Dec 31, 2025 | 237.33 Mn |
| Sep 30, 2025 | 229.84 Mn |
| Jun 30, 2025 | 221.85 Mn |
| Mar 31, 2025 | 202.22 Mn |
| Dec 31, 2024 | 207.83 Mn |
| Sep 30, 2024 | 258.03 Mn |
| Jun 30, 2024 | 254.52 Mn |
| Mar 31, 2024 | 482.61 Mn |
| Dec 31, 2023 | 478.65 Mn |
| Sep 30, 2023 | 470.98 Mn |
| Jun 30, 2023 | 467.93 Mn |
| Mar 31, 2023 | 464.08 Mn |
| Dec 31, 2022 | 472.38 Mn |
| Sep 30, 2022 | 459.91 Mn |
| Jun 30, 2022 | 468.80 Mn |
| Mar 31, 2022 | 454.51 Mn |
| Dec 31, 2021 | 462.55 Mn |
| Sep 30, 2021 | 463.08 Mn |
API Access
Glaukos Total 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-liabilities&ticker=GKOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();