Edwards Lifesciences (EW) Free Cash Flow (2009 - 2026)
Edwards Lifesciences (EW) reported Free Cash Flow of $506.7 million for Q3 2026, down 1.8% from $516.2 million a year earlier and down 13.4% from the prior quarter.
Edwards Lifesciences (EW) Free Cash Flow (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Edwards Lifesciences' Free Cash Flow came in at $1.42 billion, up 77.1% year-over-year; for FY2025, it was $1.34 billion, up 360.5% from FY2024.
- Free Cash Flow has a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- By year, Free Cash Flow came in at $289.9 million in FY2024 (-54.9%), $642.8 million in FY2023 (-34.0%), $973.6 million in FY2022 (-30.8%) and $1.41 billion in FY2021 (+117.3%).
- Five-year quarterly Free Cash Flow spans a low of -$177.3 million in Q4 2024 and a high of $585 million in Q2 2026.
- Year over year, Free Cash Flow gained in two of the last four quarters, with growth averaging 49.3%.
- The high point for year-over-year Free Cash Flow in five years was Q2 2026 (growth of 142.8%); the low point was Q4 2023 (a decline of 77.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $585 million (Q2 2026), -$21.1 million (Q1 2026) and $353.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 2.11 Bn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 1.22 Bn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 1.63 Bn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 1.11 Bn |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 1.22 Bn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 868.00 Mn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 506.70 Mn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 633.00 Mn |
| 10 | Agilent Technologies | 50.79 Bn | 43.67 Bn | 1.04 Bn | 439.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 506.70 Mn |
| Jun 30, 2026 | 585.00 Mn |
| Mar 31, 2026 | -21.10 Mn |
| Dec 31, 2025 | 353.50 Mn |
| Sep 30, 2025 | 516.20 Mn |
| Jun 30, 2025 | 240.90 Mn |
| Mar 31, 2025 | 224.40 Mn |
| Dec 31, 2024 | -177.30 Mn |
| Sep 30, 2024 | 299.90 Mn |
| Jun 30, 2024 | 286.10 Mn |
| Mar 31, 2024 | -118.80 Mn |
| Dec 31, 2023 | 48.30 Mn |
| Sep 30, 2023 | 356.20 Mn |
| Jun 30, 2023 | -14.30 Mn |
| Mar 31, 2023 | 252.60 Mn |
| Dec 31, 2022 | 213.90 Mn |
| Sep 30, 2022 | 250.00 Mn |
| Jun 30, 2022 | 289.10 Mn |
| Mar 31, 2022 | 220.60 Mn |
| Dec 31, 2021 | 283.80 Mn |
Edwards Lifesciences Free Cash Flow 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=free-cash-flow&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();