Glaukos (GKOS) Accumulated Expenses (2014 - 2026)
Glaukos' Accumulated Expenses was $102.32 million in Q3 2026, up 51.3% from $67.63 million a year earlier and up 23.0% from the prior quarter.
Powered by 
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 Q3 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 six straight quarters, with growth averaging 18.7% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2026 (growth of 51.3%); the worst was Q2 2022 (a decline of 23.7%).
- Per Business Quant data, GKOS's Accumulated Expenses in the three quarters before Q3 2026 was $83.19 million (Q2 2026), $70.26 million (Q1 2026) and $76.65 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Glaukos | 13.97 Bn | 13.50 Bn | 179.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 102.32 Mn |
| 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 |
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();