Edwards Lifesciences (EW) Operating Income (2009 - 2026)
Edwards Lifesciences (EW) posted Operating Income of $513.2 million for Q2 2026, up 24.8% from $411.2 million a year earlier and up 7.5% from the prior quarter.
Edwards Lifesciences (EW) Operating Income (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Income at Edwards Lifesciences was $1.45 billion, down 1.4% year-over-year; for FY2025, it came in at $1.26 billion, down 8.3% from FY2024.
- Annual Operating Income shows a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In prior years, Edwards Lifesciences' Operating Income was $1.38 billion in FY2024 (+5.3%), $1.31 billion in FY2023 (-12.6%), $1.5 billion in FY2022 (-11.4%) and $1.69 billion in FY2021 (+88.3%).
- The Q2 2026 figure stands as the highest quarterly Operating Income since Q2 2021.
- On a year-over-year basis, Operating Income increased in four of the last eight quarters, with an average decline of 0.9%.
- The strongest year-over-year quarter for Operating Income in the past five years was Q4 2023, with growth of 75.4%; the weakest was Q4 2025, with a decline of 51.7%.
- According to Business Quant data, Operating Income for the three prior quarters was $477.6 million (Q1 2026), $151.1 million (Q4 2025) and $307.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 663.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 513.20 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 444.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 513.20 Mn |
| Mar 31, 2026 | 477.60 Mn |
| Dec 31, 2025 | 151.10 Mn |
| Sep 30, 2025 | 307.10 Mn |
| Jun 30, 2025 | 411.20 Mn |
| Mar 31, 2025 | 394.80 Mn |
| Dec 31, 2024 | 312.60 Mn |
| Sep 30, 2024 | 350.60 Mn |
| Jun 30, 2024 | 366.50 Mn |
| Mar 31, 2024 | 349.00 Mn |
| Dec 31, 2023 | 346.80 Mn |
| Sep 30, 2023 | 365.90 Mn |
| Jun 30, 2023 | 263.50 Mn |
| Mar 31, 2023 | 388.40 Mn |
| Dec 31, 2022 | 197.70 Mn |
| Sep 30, 2022 | 402.40 Mn |
| Jun 30, 2022 | 459.50 Mn |
| Mar 31, 2022 | 438.80 Mn |
| Dec 31, 2021 | 374.40 Mn |
| Sep 30, 2021 | 390.30 Mn |
Edwards Lifesciences Operating Income 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-income&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();