Edwards Lifesciences (EW) Operating Margin (2009 - 2026)
Edwards Lifesciences (EW) posted Operating Margin of 29.48% for Q2 2026, up 2.64 percentage points from 26.84% a year earlier and up 0.51 percentage points from the prior quarter.
Edwards Lifesciences (EW) Operating Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Edwards Lifesciences was 22.25%, down 3.59 percentage points year-over-year; for FY2025, it came in at 20.84%, down 4.51 percentage points from FY2024.
- Annual Operating Margin has declined for three consecutive years, though with a five-year change of +0.37 percentage points (FY2020 to FY2025).
- In prior years, Edwards Lifesciences' Operating Margin was 25.35% in FY2024 (-0.78 pp), 26.13% in FY2023 (-7.44 pp), 33.57% in FY2022 (+1.26 pp) and 32.30% in FY2021 (+11.84 pp).
- The Q2 2026 figure stands as the highest quarterly Operating Margin since Q1 2023.
- On a year-over-year basis, Operating Margin increased in four of the last eight quarters, with an average year-over-year change of -2.75 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q4 2022, with a gain of 17.83 percentage points; the weakest was Q4 2023, with a drop of 18.60 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was 28.97% (Q1 2026), 9.63% (Q4 2025) and 19.77% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 29.48% |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 23.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.48% |
| Mar 31, 2026 | 28.97% |
| Dec 31, 2025 | 9.63% |
| Sep 30, 2025 | 19.77% |
| Jun 30, 2025 | 26.84% |
| Mar 31, 2025 | 27.95% |
| Dec 31, 2024 | 22.56% |
| Sep 30, 2024 | 25.89% |
| Jun 30, 2024 | 26.76% |
| Mar 31, 2024 | 26.24% |
| Dec 31, 2023 | 27.38% |
| Sep 30, 2023 | 29.43% |
| Jun 30, 2023 | 20.60% |
| Mar 31, 2023 | 31.80% |
| Dec 31, 2022 | 45.99% |
| Sep 30, 2022 | 30.51% |
| Jun 30, 2022 | 33.44% |
| Mar 31, 2022 | 32.72% |
| Dec 31, 2021 | 28.16% |
| Sep 30, 2021 | 29.79% |
Edwards Lifesciences Operating Margin 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=operating-margin&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();