Edwards Lifesciences (EW) Property, Plant & Equipment (Net) (2009 - 2026)
Edwards Lifesciences' Property, Plant & Equipment (Net) was $1.84 billion in Q2 2026, up 6.7% from $1.73 billion a year earlier and up 1.0% from the prior quarter.
Edwards Lifesciences (EW) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Edwards Lifesciences came in at $1.81 billion, up 7.5% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $1.69 billion in FY2024 (+6.0%), $1.59 billion in FY2023 (-2.6%), $1.63 billion in FY2022 (+5.6%) and $1.55 billion in FY2021 (+10.9%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2009.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for five straight quarters, with growth averaging 4.1% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2021 (growth of 14.8%); the worst was Q1 2025 (a decline of 3.9%).
- Per Business Quant data, EW's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $1.82 billion (Q1 2026), $1.81 billion (Q4 2025) and $1.74 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Agilent Technologies | 47.29 Bn | 40.18 Bn | 1.04 Bn | 2.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.84 Bn |
| Mar 31, 2026 | 1.82 Bn |
| Dec 31, 2025 | 1.81 Bn |
| Sep 30, 2025 | 1.74 Bn |
| Jun 30, 2025 | 1.73 Bn |
| Mar 31, 2025 | 1.70 Bn |
| Dec 31, 2024 | 1.69 Bn |
| Sep 30, 2024 | 1.68 Bn |
| Jun 30, 2024 | 1.64 Bn |
| Mar 31, 2024 | 1.77 Bn |
| Dec 31, 2023 | 1.59 Bn |
| Sep 30, 2023 | 1.68 Bn |
| Jun 30, 2023 | 1.66 Bn |
| Mar 31, 2023 | 1.65 Bn |
| Dec 31, 2022 | 1.63 Bn |
| Sep 30, 2022 | 1.57 Bn |
| Jun 30, 2022 | 1.56 Bn |
| Mar 31, 2022 | 1.55 Bn |
| Dec 31, 2021 | 1.55 Bn |
| Sep 30, 2021 | 1.46 Bn |
Edwards Lifesciences Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();