Edwards Lifesciences (EW) Depreciation & Amortization (CF) (2009 - 2026)
Edwards Lifesciences (EW) recorded Depreciation & Amortization (CF) of $42.7 million in Q2 2026, up 12.1% from $38.1 million a year earlier and up 4.4% from the prior quarter.
Edwards Lifesciences (EW) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a TTM basis, Edwards Lifesciences' Depreciation & Amortization (CF) came in at $165.5 million as of Jun 30, 2026, up 9.0% year-over-year; for FY2025, it was $156.6 million, up 0.9% from FY2024.
- Annual Depreciation & Amortization (CF) has increased for seven straight years, with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $155.2 million in FY2024 (+7.1%), $144.9 million in FY2023 (+3.8%), $139.6 million in FY2022 (+3.6%) and $134.8 million in FY2021 (+25.7%).
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for four consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 31.3% in Q3 2021, against a decline of 6.5% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.9 million (Q1 2026), $42.7 million (Q4 2025) and $39.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 187.80 Mn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 564.00 Mn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 42.70 Mn |
| 10 | Agilent Technologies | 48.84 Bn | 41.72 Bn | 1.04 Bn | 66.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.70 Mn |
| Mar 31, 2026 | 40.90 Mn |
| Dec 31, 2025 | 42.70 Mn |
| Sep 30, 2025 | 39.20 Mn |
| Jun 30, 2025 | 38.10 Mn |
| Mar 31, 2025 | 36.60 Mn |
| Dec 31, 2024 | 42.60 Mn |
| Sep 30, 2024 | 34.50 Mn |
| Jun 30, 2024 | 39.60 Mn |
| Mar 31, 2024 | 38.50 Mn |
| Dec 31, 2023 | 36.70 Mn |
| Sep 30, 2023 | 36.90 Mn |
| Jun 30, 2023 | 36.10 Mn |
| Mar 31, 2023 | 35.20 Mn |
| Dec 31, 2022 | 35.40 Mn |
| Sep 30, 2022 | 35.40 Mn |
| Jun 30, 2022 | 34.10 Mn |
| Mar 31, 2022 | 34.70 Mn |
| Dec 31, 2021 | 33.00 Mn |
| Sep 30, 2021 | 33.60 Mn |
Edwards Lifesciences Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();