Edwards Lifesciences (EW) Cash from Operations (2009 - 2026)
Edwards Lifesciences (EW) recorded Cash from Operations of $651.9 million in Q2 2026, up 124.6% from $290.2 million a year earlier.
Edwards Lifesciences (EW) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, Edwards Lifesciences' Cash from Operations came in at $1.72 billion as of Jun 30, 2026, up 116.4% year-over-year; for FY2025, it was $1.6 billion, up 194.2% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $542.3 million in FY2024 (-39.5%), $895.8 million in FY2023 (-26.5%), $1.22 billion in FY2022 (-29.7%) and $1.73 billion in FY2021 (+64.3%).
- The Q2 2026 figure is the highest quarterly Cash from Operations since Q2 2014.
- On a year-over-year basis, Cash from Operations rose in two of the last five quarters, with growth averaging 13.4%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 146.1% in Q3 2021, against a decline of 89.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $43.8 million (Q1 2026), $450.9 million (Q4 2025) and $573.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.13 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 2.49 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.53 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.06 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.79 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.26 Bn |
| 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 | 776.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 651.90 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 519.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 651.90 Mn |
| Mar 31, 2026 | 43.80 Mn |
| Dec 31, 2025 | 450.90 Mn |
| Sep 30, 2025 | 573.70 Mn |
| Jun 30, 2025 | 290.20 Mn |
| Mar 31, 2025 | 280.40 Mn |
| Dec 31, 2024 | -127.50 Mn |
| Sep 30, 2024 | 351.80 Mn |
| Jun 30, 2024 | 371.50 Mn |
| Mar 31, 2024 | -53.50 Mn |
| Dec 31, 2023 | 136.60 Mn |
| Sep 30, 2023 | 411.50 Mn |
| Jun 30, 2023 | 33.60 Mn |
| Mar 31, 2023 | 314.10 Mn |
| Dec 31, 2022 | 282.80 Mn |
| Sep 30, 2022 | 309.90 Mn |
| Jun 30, 2022 | 332.20 Mn |
| Mar 31, 2022 | 293.30 Mn |
| Dec 31, 2021 | 373.60 Mn |
| Sep 30, 2021 | 531.90 Mn |
Edwards Lifesciences Cash from Operations 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=cash-from-operations&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();