Edwards Lifesciences (EW) Research & Development (2009 - 2026)
Edwards Lifesciences (EW) reported Research & Development of $281.4 million for Q3 2026, up 0.2% from $280.7 million a year earlier and up 0.9% from the prior quarter.
Edwards Lifesciences (EW) Research & Development (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Edwards Lifesciences' Research & Development came in at $1.09 billion, up 0.8% year-over-year; for FY2025, it came in at $1.08 billion, up 2.5% from FY2024.
- Research & Development has increased for three consecutive years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- By year, Research & Development came in at $1.05 billion in FY2024 (+9.4%), $962.9 million in FY2023 (+14.1%), $843.6 million in FY2022 (-6.6%) and $903.1 million in FY2021 (+18.7%).
- The Q3 2026 figure ranks as the highest quarterly Research & Development in data going back to Q2 2009.
- Year over year, Research & Development has now increased in each of the last three quarters, with growth averaging 3.4% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was Q4 2023 (growth of 85.4%); the low point was Q4 2022 (a decline of 43.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $278.9 million (Q2 2026), $263.3 million (Q1 2026) and $267.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 348.00 Mn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 920.00 Mn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 433.00 Mn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 408.30 Mn |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 433.00 Mn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 520.00 Mn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 281.40 Mn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Agilent Technologies | 50.79 Bn | 43.67 Bn | 1.04 Bn | 123.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 281.40 Mn |
| Jun 30, 2026 | 278.90 Mn |
| Mar 31, 2026 | 263.30 Mn |
| Dec 31, 2025 | 267.70 Mn |
| Sep 30, 2025 | 280.70 Mn |
| Jun 30, 2025 | 276.20 Mn |
| Mar 31, 2025 | 254.60 Mn |
| Dec 31, 2024 | 271.10 Mn |
| Sep 30, 2024 | 253.40 Mn |
| Jun 30, 2024 | 271.80 Mn |
| Mar 31, 2024 | 256.70 Mn |
| Dec 31, 2023 | 242.10 Mn |
| Sep 30, 2023 | 242.80 Mn |
| Jun 30, 2023 | 243.70 Mn |
| Mar 31, 2023 | 261.20 Mn |
| Dec 31, 2022 | 130.60 Mn |
| Sep 30, 2022 | 233.60 Mn |
| Jun 30, 2022 | 250.80 Mn |
| Mar 31, 2022 | 228.60 Mn |
| Dec 31, 2021 | 232.80 Mn |
Edwards Lifesciences Research & Development 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=research-and-development&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();