Edwards Lifesciences (EW) Retained Earnings (2009 - 2026)
Edwards Lifesciences' Retained Earnings was $14.86 billion in Q2 2026, up 7.3% from $13.86 billion a year earlier and up 1.7% from the prior quarter.
Edwards Lifesciences (EW) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Edwards Lifesciences came in at $14.24 billion, up 8.2% from FY2024.
- Retained Earnings has now increased for eight consecutive years, with a five-year compound annual growth rate of 25.6% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $13.17 billion in FY2024 (+46.4%), $8.99 billion in FY2023 (+18.5%), $7.59 billion in FY2022 (+25.1%) and $6.07 billion in FY2021 (+32.9%).
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2009.
- Compared with a year earlier, Retained Earnings has increased for 32 straight quarters, with growth averaging 27.0% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 7.3% (Q2 2026) and 48.2% (Q3 2024) over the last five years.
- Per Business Quant data, EW's Retained Earnings in the three quarters before Q2 2026 was $14.62 billion (Q1 2026), $14.24 billion (Q4 2025) and $14.15 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 62.19 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 49.79 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 48.23 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 6.84 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 21.82 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 7.82 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 17.51 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 14.86 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 1.91 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.86 Bn |
| Mar 31, 2026 | 14.62 Bn |
| Dec 31, 2025 | 14.24 Bn |
| Sep 30, 2025 | 14.15 Bn |
| Jun 30, 2025 | 13.86 Bn |
| Mar 31, 2025 | 13.53 Bn |
| Dec 31, 2024 | 13.17 Bn |
| Sep 30, 2024 | 12.78 Bn |
| Jun 30, 2024 | 9.71 Bn |
| Mar 31, 2024 | 9.34 Bn |
| Dec 31, 2023 | 8.99 Bn |
| Sep 30, 2023 | 8.62 Bn |
| Jun 30, 2023 | 8.24 Bn |
| Mar 31, 2023 | 7.93 Bn |
| Dec 31, 2022 | 7.59 Bn |
| Sep 30, 2022 | 7.19 Bn |
| Jun 30, 2022 | 6.85 Bn |
| Mar 31, 2022 | 6.44 Bn |
| Dec 31, 2021 | 6.07 Bn |
| Sep 30, 2021 | 5.73 Bn |
Edwards Lifesciences Retained Earnings 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=retained-earnings&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();