Edwards Lifesciences (EW) Shares Outstanding (Diluted) (2009 - 2026)
Edwards Lifesciences (EW) reported Shares Outstanding (Diluted) of 577.6 million for Q2 2026, down 1.8% from 587.9 million a year earlier and down 0.5% from the prior quarter.
Edwards Lifesciences (EW) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Edwards Lifesciences posted Shares Outstanding (Diluted) of 585.8 million, down 2.3% from FY2024.
- Shares Outstanding (Diluted) has declined for ten consecutive years, with a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 599.3 million in FY2024 (-1.7%), 609.4 million in FY2023 (-2.4%), 624.2 million in FY2022 (-1.1%) and 631.2 million in FY2021 (-0.1%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) in data going back to Q2 2009.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last 19 quarters, with an average decline of 2.0% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2021 (growth of 0.1%); the low point was Q1 2023 (a decline of 2.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 580.7 million (Q1 2026), 585.8 million (Q4 2025) and 585.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 275.16 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 577.60 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 283.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 577.60 Mn |
| Mar 31, 2026 | 580.70 Mn |
| Dec 31, 2025 | 585.80 Mn |
| Sep 30, 2025 | 585.70 Mn |
| Jun 30, 2025 | 587.90 Mn |
| Mar 31, 2025 | 587.80 Mn |
| Dec 31, 2024 | 599.30 Mn |
| Sep 30, 2024 | 598.10 Mn |
| Jun 30, 2024 | 604.30 Mn |
| Mar 31, 2024 | 604.10 Mn |
| Dec 31, 2023 | 609.40 Mn |
| Sep 30, 2023 | 609.50 Mn |
| Jun 30, 2023 | 610.30 Mn |
| Mar 31, 2023 | 610.90 Mn |
| Dec 31, 2022 | 624.20 Mn |
| Sep 30, 2022 | 624.50 Mn |
| Jun 30, 2022 | 626.70 Mn |
| Mar 31, 2022 | 629.40 Mn |
| Dec 31, 2021 | 631.20 Mn |
| Sep 30, 2021 | 631.70 Mn |
Edwards Lifesciences 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=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "EW", "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=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();