Edwards Lifesciences (EW) Long-Term Investments (2009 - 2026)
Edwards Lifesciences (EW) reported Long-Term Investments of $244.1 million for Q2 2026, down 18.2% from $298.5 million a year earlier and down 14.5% from the prior quarter.
Edwards Lifesciences (EW) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, Edwards Lifesciences posted Long-Term Investments of $278.6 million, down 9.5% from FY2024.
- Long-Term Investments has declined for four consecutive years, with a five-year compound annual growth rate of -19.1% (FY2020 to FY2025).
- By year, Long-Term Investments came in at $307.9 million in FY2024 (-47.3%), $583.9 million in FY2023 (-52.9%), $1.24 billion in FY2022 (-32.5%) and $1.83 billion in FY2021 (+128.8%).
- The Q2 2026 figure ranks as the lowest quarterly Long-Term Investments since Q4 2014.
- Year over year, Long-Term Investments gained in 1 of the last eight quarters, with an average decline of 24.4%.
- The high point for year-over-year Long-Term Investments in five years was Q4 2021 (growth of 128.8%); the low point was Q2 2024 (a decline of 58.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $285.6 million (Q1 2026), $278.6 million (Q4 2025) and $274.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (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 | 1.11 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 3.41 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 | 2.25 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 244.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 130.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 244.10 Mn |
| Mar 31, 2026 | 285.60 Mn |
| Dec 31, 2025 | 278.60 Mn |
| Sep 30, 2025 | 274.70 Mn |
| Jun 30, 2025 | 298.50 Mn |
| Mar 31, 2025 | 277.90 Mn |
| Dec 31, 2024 | 307.90 Mn |
| Sep 30, 2024 | 319.60 Mn |
| Jun 30, 2024 | 353.30 Mn |
| Mar 31, 2024 | 455.60 Mn |
| Dec 31, 2023 | 583.90 Mn |
| Sep 30, 2023 | 704.60 Mn |
| Jun 30, 2023 | 856.20 Mn |
| Mar 31, 2023 | 1.07 Bn |
| Dec 31, 2022 | 1.24 Bn |
| Sep 30, 2022 | 1.38 Bn |
| Jun 30, 2022 | 1.49 Bn |
| Mar 31, 2022 | 1.62 Bn |
| Dec 31, 2021 | 1.83 Bn |
| Sep 30, 2021 | 1.28 Bn |
Edwards Lifesciences Long-Term Investments 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=long-term-investments&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();