Edwards Lifesciences (EW) Restructuring Costs (2010 - 2025)
Edwards Lifesciences (EW) posted Restructuring Costs of $4.6 million for Q4 2025.
Analysis
Edwards Lifesciences (EW) Restructuring Costs (2010 - 2025) Analysis & Trends
For FY2025, Edwards Lifesciences' Restructuring Costs came in at $13.1 million, down 60.2% from FY2024.
- Annual Restructuring Costs shows a three-year compound annual growth rate of -40.0% (FY2022 to FY2025).
- In prior years, Edwards Lifesciences' Restructuring Costs was $32.9 million in FY2024 and $60.7 million in FY2022.
- The Q4 2025 figure stands as the highest quarterly Restructuring Costs since Q3 2024.
- According to Business Quant data, Restructuring Costs for the three prior quarters was $100,000 (Q3 2025), $4.2 million (Q2 2025) and $4.2 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.60 Mn |
| Sep 30, 2025 | 100,000.00 |
| Jun 30, 2025 | 4.20 Mn |
| Mar 31, 2025 | 4.20 Mn |
| Sep 30, 2024 | 32.90 Mn |
| Sep 30, 2017 | 9.70 Mn |
| Jun 30, 2011 | 116.60 Mn |
| Jun 30, 2010 | 91.90 Mn |
API Access
Edwards Lifesciences Restructuring Costs 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=restructuring-costs&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();