Edwards Lifesciences (EW) Accumulated Expenses (2009 - 2026)
Edwards Lifesciences' Accumulated Expenses came in at $1.27 billion for Q2 2026, up 4.9% from $1.21 billion a year earlier and up 5.8% from the prior quarter.
Powered by 
Analysis
Edwards Lifesciences (EW) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Edwards Lifesciences' Accumulated Expenses was $1.56 billion, up 21.8% from FY2024.
- Accumulated Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $1.28 billion in FY2024 (+49.7%), $856.4 million in FY2023 (+7.7%), $795 million in FY2022 (-0.9%) and $802.3 million in FY2021 (+19.7%).
- The five-year range for quarterly Accumulated Expenses is $739.5 million (Q3 2022) to $1.75 billion (Q3 2024).
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 24.8% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2024 (growth of 70.4%), and the weakest in Q3 2025 (a decline of 20.1%).
- Business Quant data shows EW's Accumulated Expenses at $1.2 billion (Q1 2026), $1.56 billion (Q4 2025) and $1.39 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.27 Bn |
| Mar 31, 2026 | 1.20 Bn |
| Dec 31, 2025 | 1.56 Bn |
| Sep 30, 2025 | 1.39 Bn |
| Jun 30, 2025 | 1.21 Bn |
| Mar 31, 2025 | 1.20 Bn |
| Dec 31, 2024 | 1.28 Bn |
| Sep 30, 2024 | 1.75 Bn |
| Jun 30, 2024 | 902.40 Mn |
| Mar 31, 2024 | 873.70 Mn |
| Dec 31, 2023 | 856.40 Mn |
| Sep 30, 2023 | 1.02 Bn |
| Jun 30, 2023 | 939.90 Mn |
| Mar 31, 2023 | 876.10 Mn |
| Dec 31, 2022 | 795.00 Mn |
| Sep 30, 2022 | 739.50 Mn |
| Jun 30, 2022 | 783.30 Mn |
| Mar 31, 2022 | 767.20 Mn |
| Dec 31, 2021 | 802.30 Mn |
| Sep 30, 2021 | 802.80 Mn |
API Access
Edwards Lifesciences Accumulated Expenses 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=accumulated-expenses&ticker=EW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();