Glaukos (GKOS) Accumulated Expenses (2014 - 2026)
Glaukos' Accumulated Expenses was $83.19 million in Q2 2026, up 27.1% from $65.45 million a year earlier and up 18.4% from the prior quarter.
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Analysis
Glaukos (GKOS) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Glaukos came in at $76.65 million, up 23.4% from FY2024.
- Accumulated Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $62.1 million in FY2024 (+2.5%), $60.57 million in FY2023 (+4.5%), $57.96 million in FY2022 (+3.4%) and $56.03 million in FY2021 (+23.6%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2014.
- Compared with a year earlier, Accumulated Expenses has increased for five straight quarters, with growth averaging 13.2% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2021 (growth of 37.8%); the worst was Q2 2022 (a decline of 23.7%).
- Per Business Quant data, GKOS's Accumulated Expenses in the three quarters before Q2 2026 was $70.26 million (Q1 2026), $76.65 million (Q4 2025) and $67.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 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 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Glaukos | 9.67 Bn | 9.26 Bn | 151.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.19 Mn |
| Mar 31, 2026 | 70.26 Mn |
| Dec 31, 2025 | 76.65 Mn |
| Sep 30, 2025 | 67.63 Mn |
| Jun 30, 2025 | 65.45 Mn |
| Mar 31, 2025 | 52.70 Mn |
| Dec 31, 2024 | 62.10 Mn |
| Sep 30, 2024 | 60.58 Mn |
| Jun 30, 2024 | 58.52 Mn |
| Mar 31, 2024 | 59.49 Mn |
| Dec 31, 2023 | 60.57 Mn |
| Sep 30, 2023 | 56.73 Mn |
| Jun 30, 2023 | 55.32 Mn |
| Mar 31, 2023 | 50.36 Mn |
| Dec 31, 2022 | 57.96 Mn |
| Sep 30, 2022 | 49.15 Mn |
| Jun 30, 2022 | 48.21 Mn |
| Mar 31, 2022 | 47.60 Mn |
| Dec 31, 2021 | 56.03 Mn |
| Sep 30, 2021 | 54.99 Mn |
API Access
Glaukos Accumulated 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=accumulated-expenses&ticker=GKOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();