Glaukos (GKOS) Shares Outstanding (Diluted) (2014 - 2026)
Glaukos (GKOS) reported Weighted Average Shares Outstanding (Diluted) of 61.2 million for Q3 2026, up 6.6% from 57.4 million a year earlier and up 4.0% from the prior quarter.
Glaukos (GKOS) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
For FY2025, Glaukos posted Weighted Average Shares Outstanding (Diluted) of 57.19 million, up 8.4% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased for eight consecutive years, with a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 52.76 million in FY2024 (+8.9%), 48.43 million in FY2023 (+2.1%), 47.44 million in FY2022 (+2.2%) and 46.42 million in FY2021 (+4.3%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q3 2014.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 14 quarters, with growth averaging 7.6% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q1 2025 (growth of 14.2%); the low point was Q3 2022 (a decline of 3.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 58.82 million (Q2 2026), 58.02 million (Q1 2026) and 57.19 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.74 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 706.80 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 351.60 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 384.70 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 1.32 Bn |
| 10 | Glaukos | 13.97 Bn | 13.50 Bn | 179.87 Mn | 61.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 61.20 Mn |
| Jun 30, 2026 | 58.82 Mn |
| Mar 31, 2026 | 58.02 Mn |
| Dec 31, 2025 | 57.19 Mn |
| Sep 30, 2025 | 57.40 Mn |
| Jun 30, 2025 | 57.21 Mn |
| Mar 31, 2025 | 56.64 Mn |
| Dec 31, 2024 | 52.76 Mn |
| Sep 30, 2024 | 55.04 Mn |
| Jun 30, 2024 | 50.72 Mn |
| Mar 31, 2024 | 49.58 Mn |
| Dec 31, 2023 | 48.43 Mn |
| Sep 30, 2023 | 48.68 Mn |
| Jun 30, 2023 | 48.28 Mn |
| Mar 31, 2023 | 47.88 Mn |
| Dec 31, 2022 | 47.44 Mn |
| Sep 30, 2022 | 47.61 Mn |
| Jun 30, 2022 | 47.36 Mn |
| Mar 31, 2022 | 49.51 Mn |
| Dec 31, 2021 | 46.42 Mn |
Glaukos Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=GKOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();