Glaukos (GKOS) Interest Expenses (2014 - 2026)
Glaukos (GKOS) recorded Interest Expenses of $1.46 million in Q2 2026, up 26.8% from $1.15 million a year earlier and up 29.7% from the prior quarter.
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Analysis
Glaukos (GKOS) Interest Expenses (2014 - 2026) Analysis & Trends
On a TTM basis, Glaukos' Interest Expenses came in at $4.91 million as of Jun 30, 2026, down 11.6% year-over-year; for FY2025, it came in at $4.64 million, down 53.8% from FY2024.
- Annual Interest Expenses has declined for three straight years, with a five-year compound annual growth rate of -20.0% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $10.04 million in FY2024 (-26.4%), $13.63 million in FY2023 (-0.6%), $13.72 million in FY2022 (+2.6%) and $13.37 million in FY2021 (-5.3%).
- The Q2 2026 figure is the highest quarterly Interest Expenses since Q4 2024.
- On a year-over-year basis, Interest Expenses rose in 1 of the last eight quarters, with an average decline of 33.8%.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 26.8% in Q2 2026, against a decline of 66.3% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.13 million (Q1 2026), $1.15 million (Q4 2025) and $1.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Glaukos | 9.67 Bn | 9.26 Bn | 151.59 Mn | 1.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 Mn |
| Mar 31, 2026 | 1.13 Mn |
| Dec 31, 2025 | 1.15 Mn |
| Sep 30, 2025 | 1.18 Mn |
| Jun 30, 2025 | 1.15 Mn |
| Mar 31, 2025 | 1.16 Mn |
| Dec 31, 2024 | 1.57 Mn |
| Sep 30, 2024 | 1.66 Mn |
| Jun 30, 2024 | 3.36 Mn |
| Mar 31, 2024 | 3.45 Mn |
| Dec 31, 2023 | 3.43 Mn |
| Sep 30, 2023 | 3.40 Mn |
| Jun 30, 2023 | 3.40 Mn |
| Mar 31, 2023 | 3.41 Mn |
| Dec 31, 2022 | 3.41 Mn |
| Sep 30, 2022 | 3.48 Mn |
| Jun 30, 2022 | 3.41 Mn |
| Mar 31, 2022 | 3.42 Mn |
| Dec 31, 2021 | 3.42 Mn |
| Sep 30, 2021 | 3.41 Mn |
API Access
Glaukos Interest Expenses 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=interest-expenses&ticker=GKOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();