Glaukos (GKOS) Research & Development (2014 - 2026)
Glaukos' Research & Development came in at $51.3 million for Q2 2026, up 40.4% from $36.54 million a year earlier and up 16.2% from the prior quarter.
Glaukos (GKOS) Research & Development (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Glaukos reported Research & Development of $177.17 million, up 26.4% year-over-year; for FY2025, it was $150.61 million, up 10.4% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- Going back by year, Research & Development was $136.43 million in FY2024 (-1.7%), $138.77 million in FY2023 (+12.6%), $123.27 million in FY2022 (+22.1%) and $101 million in FY2021 (+18.3%).
- The Q2 2026 figure represents the highest quarterly Research & Development in data going back to Q1 2014.
- Year-over-year, Research & Development has increased for six consecutive quarters, with growth averaging 15.0% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q3 2021 (growth of 42.1%), and the weakest in Q1 2024 (a decline of 12.6%).
- Business Quant data shows GKOS's Research & Development at $44.15 million (Q1 2026), $43.65 million (Q4 2025) and $38.07 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 258.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 278.90 Mn |
| 10 | Glaukos | 9.33 Bn | 8.92 Bn | 151.59 Mn | 51.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.30 Mn |
| Mar 31, 2026 | 44.15 Mn |
| Dec 31, 2025 | 43.65 Mn |
| Sep 30, 2025 | 38.07 Mn |
| Jun 30, 2025 | 36.54 Mn |
| Mar 31, 2025 | 32.35 Mn |
| Dec 31, 2024 | 36.53 Mn |
| Sep 30, 2024 | 34.75 Mn |
| Jun 30, 2024 | 34.43 Mn |
| Mar 31, 2024 | 30.73 Mn |
| Dec 31, 2023 | 37.06 Mn |
| Sep 30, 2023 | 33.30 Mn |
| Jun 30, 2023 | 33.23 Mn |
| Mar 31, 2023 | 35.17 Mn |
| Dec 31, 2022 | 35.81 Mn |
| Sep 30, 2022 | 28.87 Mn |
| Jun 30, 2022 | 31.71 Mn |
| Mar 31, 2022 | 26.88 Mn |
| Dec 31, 2021 | 26.68 Mn |
| Sep 30, 2021 | 28.85 Mn |
Glaukos Research & Development 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=research-and-development&ticker=GKOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();