Edwards Lifesciences (EW) Selling, General & Administrative (2009 - 2026)
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Analysis
Edwards Lifesciences (EW) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 2.32 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 4.27 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 2.16 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 633.40 Mn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 2.31 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 1.68 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 560.90 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Agilent Technologies | 49.29 Bn | 42.18 Bn | 1.04 Bn | 475.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 560.90 Mn |
| Jun 30, 2026 | 561.20 Mn |
| Mar 31, 2026 | 522.20 Mn |
| Dec 31, 2025 | 602.90 Mn |
| Sep 30, 2025 | 514.60 Mn |
| Jun 30, 2025 | 502.00 Mn |
| Mar 31, 2025 | 465.70 Mn |
| Dec 31, 2024 | 491.90 Mn |
| Sep 30, 2024 | 421.40 Mn |
| Jun 30, 2024 | 447.50 Mn |
| Mar 31, 2024 | 428.40 Mn |
| Dec 31, 2023 | 416.60 Mn |
| Sep 30, 2023 | 381.90 Mn |
| Jun 30, 2023 | 410.40 Mn |
| Mar 31, 2023 | 436.30 Mn |
| Dec 31, 2022 | 201.00 Mn |
| Sep 30, 2022 | 377.30 Mn |
| Jun 30, 2022 | 409.00 Mn |
| Mar 31, 2022 | 370.30 Mn |
| Dec 31, 2021 | 424.00 Mn |
API Access
Edwards Lifesciences Selling, General & Administrative 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=selling-general-and-administrative&ticker=EW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();