Edwards Lifesciences (EW) Other Non-Current Assets (2009 - 2026)
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Analysis
Edwards Lifesciences (EW) Other Non-Current Assets (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 5.70 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | - |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | - |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 4.32 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 3.24 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 46.85 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 633.60 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 2.55 Bn |
| 10 | Agilent Technologies | 50.16 Bn | 43.05 Bn | 1.04 Bn | 1.07 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 633.60 Mn |
| Jun 30, 2026 | 616.40 Mn |
| Mar 31, 2026 | 738.90 Mn |
| Dec 31, 2025 | 730.20 Mn |
| Sep 30, 2025 | 799.60 Mn |
| Jun 30, 2025 | 755.80 Mn |
| Mar 31, 2025 | 755.10 Mn |
| Dec 31, 2024 | 732.40 Mn |
| Sep 30, 2024 | 694.00 Mn |
| Jun 30, 2024 | 1.10 Bn |
| Mar 31, 2024 | 767.60 Mn |
| Dec 31, 2023 | 774.30 Mn |
| Sep 30, 2023 | 447.40 Mn |
| Jun 30, 2023 | 412.10 Mn |
| Mar 31, 2023 | 293.60 Mn |
| Dec 31, 2022 | 299.10 Mn |
| Sep 30, 2022 | 316.50 Mn |
| Jun 30, 2022 | 234.70 Mn |
| Mar 31, 2022 | 129.40 Mn |
| Dec 31, 2021 | 110.80 Mn |
API Access
Edwards Lifesciences Other Non-Current Assets 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=other-non-current-assets&ticker=EW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();