Edwards Lifesciences (EW) Capital Expenditures (2009 - 2026)
Edwards Lifesciences (EW) reported Capital Expenditures of $66.9 million for Q2 2026, up 35.7% from $49.3 million a year earlier and up 3.1% from the prior quarter.
Edwards Lifesciences (EW) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Edwards Lifesciences' Capital Expenditures came in at $286.7 million, up 38.5% year-over-year; for FY2025, it was $260.2 million, up 3.1% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of -8.6% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $252.4 million in FY2024 (-0.2%), $253 million in FY2023 (+3.4%), $244.6 million in FY2022 (-24.9%) and $325.8 million in FY2021 (-20.0%).
- Five-year quarterly Capital Expenditures spans a low of $43.1 million in Q2 2022 and a high of $97.4 million in Q4 2025.
- Year over year, Capital Expenditures has now increased in each of the last four quarters, with growth averaging 6.5% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q4 2025 (growth of 95.6%); the low point was Q4 2024 (a decline of 43.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $64.9 million (Q1 2026), $97.4 million (Q4 2025) and $57.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 143.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 66.90 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 80.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.90 Mn |
| Mar 31, 2026 | 64.90 Mn |
| Dec 31, 2025 | 97.40 Mn |
| Sep 30, 2025 | 57.50 Mn |
| Jun 30, 2025 | 49.30 Mn |
| Mar 31, 2025 | 56.00 Mn |
| Dec 31, 2024 | 49.80 Mn |
| Sep 30, 2024 | 51.90 Mn |
| Jun 30, 2024 | 85.40 Mn |
| Mar 31, 2024 | 65.30 Mn |
| Dec 31, 2023 | 88.30 Mn |
| Sep 30, 2023 | 55.30 Mn |
| Jun 30, 2023 | 47.90 Mn |
| Mar 31, 2023 | 61.50 Mn |
| Dec 31, 2022 | 68.90 Mn |
| Sep 30, 2022 | 59.90 Mn |
| Jun 30, 2022 | 43.10 Mn |
| Mar 31, 2022 | 72.70 Mn |
| Dec 31, 2021 | 89.80 Mn |
| Sep 30, 2021 | 60.70 Mn |
Edwards Lifesciences Capital Expenditures 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=capital-expenditures&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();