Edwards Lifesciences (EW) Research & Development (2009 - 2026)
Edwards Lifesciences (EW) reported Research & Development of $278.9 million for Q2 2026, up 1.0% from $276.2 million a year earlier and up 5.9% from the prior quarter.
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Analysis
Edwards Lifesciences (EW) Research & Development (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Edwards Lifesciences' Research & Development came in at $1.09 billion, up 3.3% 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%).
- Five-year quarterly Research & Development spans a low of $130.6 million in Q4 2022 and a high of $280.7 million in Q3 2025.
- Year over year, Research & Development gained in six of the last eight quarters, with growth averaging 3.9%.
- 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 Q2 2026 came in at $263.3 million (Q1 2026), $267.7 million (Q4 2025) and $280.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 258.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 278.90 Mn |
| 10 | Agilent Technologies | 48.79 Bn | 41.68 Bn | 1.04 Bn | 123.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 238.00 Mn |
API Access
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_KEYimport 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();