Globus Medical (GMED) Shares Outstanding (Diluted) (2011 - 2026)
Globus Medical (GMED) posted Shares Outstanding (Diluted) of 137.38 million for Q2 2026, up 0.6% from 136.5 million a year earlier but down 0.6% from the prior quarter.
Globus Medical (GMED) Shares Outstanding (Diluted) (2011 - 2026) Analysis & Trends
For FY2025, Globus Medical's Shares Outstanding (Diluted) came in at 137.06 million, down 0.6% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In prior years, Globus Medical's Shares Outstanding (Diluted) was 137.86 million in FY2024 (+20.3%), 114.63 million in FY2023 (+11.7%), 102.64 million in FY2022 (-0.9%) and 103.62 million in FY2021 (+2.6%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 101.42 million in Q3 2022 to a high of 139.77 million in Q1 2025 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in four of the last eight quarters, with growth averaging 5.0%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q2 2024, with growth of 34.6%; the weakest was Q3 2022, with a decline of 2.9%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 138.19 million (Q1 2026), 137.06 million (Q4 2025) and 135.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 275.16 Mn |
| 10 | Globus Medical | 10.15 Bn | 7.97 Bn | 548.17 Mn | 137.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.38 Mn |
| Mar 31, 2026 | 138.19 Mn |
| Dec 31, 2025 | 137.06 Mn |
| Sep 30, 2025 | 135.39 Mn |
| Jun 30, 2025 | 136.50 Mn |
| Mar 31, 2025 | 139.77 Mn |
| Dec 31, 2024 | 137.86 Mn |
| Sep 30, 2024 | 138.06 Mn |
| Jun 30, 2024 | 136.98 Mn |
| Mar 31, 2024 | 135.36 Mn |
| Dec 31, 2023 | 114.63 Mn |
| Sep 30, 2023 | 115.25 Mn |
| Jun 30, 2023 | 101.78 Mn |
| Mar 31, 2023 | 102.20 Mn |
| Dec 31, 2022 | 102.64 Mn |
| Sep 30, 2022 | 101.42 Mn |
| Jun 30, 2022 | 102.88 Mn |
| Mar 31, 2022 | 104.08 Mn |
| Dec 31, 2021 | 103.62 Mn |
| Sep 30, 2021 | 104.42 Mn |
Globus Medical 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=GMED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GMED", "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=GMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();