Edwards Lifesciences (EW) Restructuring Costs (2010 - 2026)
Edwards Lifesciences (EW) posted Restructuring Costs of $2 million for Q3 2026, compared with $100,000 a year earlier.
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Analysis
Edwards Lifesciences (EW) Restructuring Costs (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Restructuring Costs at Edwards Lifesciences was $6.6 million, down 22.4% year-over-year; for FY2025, it was $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.
- Quarterly Restructuring Costs has run from a low of $100,000 in Q3 2025 to a high of $32.9 million in Q3 2024 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 49.29 Bn | 42.18 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.00 Mn |
| 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_KEYimport 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();