Edwards Lifesciences (EW) Long-Term Investments (2009 - 2026)
Edwards Lifesciences (EW) reported Long-Term Investments of $262.6 million for Q3 2026, down 4.4% from $274.7 million a year earlier but up 7.6% 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%).
- Five-year quarterly Long-Term Investments spans a low of $244.1 million in Q2 2026 and a high of $1.83 billion in Q4 2021.
- Year over year, Long-Term Investments gained in 1 of the last eight quarters, with an average decline of 18.2%.
- 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 Q3 2026 came in at $244.1 million (Q2 2026), $285.6 million (Q1 2026) and $278.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.10 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.76 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 2.29 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 262.60 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | - |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn | 130.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 262.60 Mn |
| 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 |
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();