Edwards Lifesciences (EW) Non-Current Assets (2009 - 2026)
Edwards Lifesciences' Non-Current Assets came in at $7.05 billion for Q2 2026, up 2.0% from $6.91 billion a year earlier but down 0.6% from the prior quarter.
Edwards Lifesciences (EW) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Edwards Lifesciences' Non-Current Assets was $6.96 billion, up 2.8% from FY2024.
- Non-Current Assets has increased in each of the last three years, with a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $6.77 billion in FY2024 (+27.1%), $5.33 billion in FY2023 (+2.5%), $5.2 billion in FY2022 (-2.4%) and $5.32 billion in FY2021 (+28.4%).
- The five-year range for quarterly Non-Current Assets is $4.64 billion (Q3 2021) to $7.09 billion (Q1 2026).
- Year-over-year, Non-Current Assets has increased for 14 consecutive quarters, with growth averaging 13.8% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q4 2021 (growth of 28.4%), and the weakest in Q4 2022 (a decline of 2.4%).
- Business Quant data shows EW's Non-Current Assets at $7.09 billion (Q1 2026), $6.96 billion (Q4 2025) and $6.91 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 9.27 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.05 Bn |
| Mar 31, 2026 | 7.09 Bn |
| Dec 31, 2025 | 6.96 Bn |
| Sep 30, 2025 | 6.91 Bn |
| Jun 30, 2025 | 6.91 Bn |
| Mar 31, 2025 | 6.81 Bn |
| Dec 31, 2024 | 6.77 Bn |
| Sep 30, 2024 | 6.24 Bn |
| Jun 30, 2024 | 5.58 Bn |
| Mar 31, 2024 | 5.57 Bn |
| Dec 31, 2023 | 5.33 Bn |
| Sep 30, 2023 | 5.30 Bn |
| Jun 30, 2023 | 5.36 Bn |
| Mar 31, 2023 | 5.39 Bn |
| Dec 31, 2022 | 5.20 Bn |
| Sep 30, 2022 | 5.12 Bn |
| Jun 30, 2022 | 5.16 Bn |
| Mar 31, 2022 | 5.18 Bn |
| Dec 31, 2021 | 5.32 Bn |
| Sep 30, 2021 | 4.64 Bn |
Edwards Lifesciences 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=non-current-assets&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();