Edwards Lifesciences (EW) Shares Outstanding (2009 - 2026)
Edwards Lifesciences' Weighted Average Shares Outstanding was 576.3 million in Q3 2026, down 1.4% from 584.7 million a year earlier and unchanged from the prior quarter.
Edwards Lifesciences (EW) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Edwards Lifesciences came in at 584.8 million, down 2.2% from FY2024.
- Weighted Average Shares Outstanding has now declined for four consecutive years, with a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 597.7 million in FY2024 (-1.5%), 606.7 million in FY2023 (-2.0%), 619 million in FY2022 (-0.7%) and 623.3 million in FY2021 (+0.1%).
- The Q3 2026 figure marks the lowest quarterly Weighted Average Shares Outstanding in data going back to Q2 2009.
- Compared with a year earlier, Weighted Average Shares Outstanding has declined for 19 straight quarters, with an average decline of 1.9% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q4 2021 (growth of 0.1%); the worst was Q2 2025 (a decline of 2.5%).
- Per Business Quant data, EW's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 576.4 million (Q2 2026), 579.2 million (Q1 2026) and 584.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 1.73 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 703.80 Mn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 349.00 Mn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 383.50 Mn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 576.30 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 274.79 Mn |
| 10 | Agilent Technologies | 49.29 Bn | 42.18 Bn | 1.04 Bn | 282.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 576.30 Mn |
| Jun 30, 2026 | 576.40 Mn |
| Mar 31, 2026 | 579.20 Mn |
| Dec 31, 2025 | 584.80 Mn |
| Sep 30, 2025 | 584.70 Mn |
| Jun 30, 2025 | 587.00 Mn |
| Mar 31, 2025 | 586.90 Mn |
| Dec 31, 2024 | 597.70 Mn |
| Sep 30, 2024 | 597.20 Mn |
| Jun 30, 2024 | 602.10 Mn |
| Mar 31, 2024 | 601.60 Mn |
| Dec 31, 2023 | 606.70 Mn |
| Sep 30, 2023 | 607.00 Mn |
| Jun 30, 2023 | 606.90 Mn |
| Mar 31, 2023 | 607.50 Mn |
| Dec 31, 2022 | 619.00 Mn |
| Sep 30, 2022 | 619.80 Mn |
| Jun 30, 2022 | 620.90 Mn |
| Mar 31, 2022 | 622.10 Mn |
| Dec 31, 2021 | 623.30 Mn |
Edwards Lifesciences Shares Outstanding 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&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();