Edwards Lifesciences (EW) Tax Provisions (2009 - 2026)
Edwards Lifesciences' Tax Provisions was $278.4 million in Q2 2026, up 333.0% from $64.3 million a year earlier and up 255.6% from the prior quarter.
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Analysis
Edwards Lifesciences (EW) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Edwards Lifesciences' Tax Provisions was $439 million through Jun 30, 2026, up 99.2% year-over-year; for FY2025, it was $216.9 million, up 42.6% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $152.1 million in FY2024 (-0.2%), $152.4 million in FY2023 (-22.0%), $195.5 million in FY2022 (-1.7%) and $198.9 million in FY2021 (+113.2%).
- The Q2 2026 figure marks the highest quarterly Tax Provisions since Q4 2017.
- Compared with a year earlier, Tax Provisions was higher in six of the last eight quarters, with growth averaging 77.9%.
- The best year-over-year quarter for Tax Provisions over five years was Q2 2026 (growth of 333.0%); the worst was Q4 2022 (a decline of 73.4%).
- Per Business Quant data, EW's Tax Provisions in the three quarters before Q2 2026 was $78.3 million (Q1 2026), $26.2 million (Q4 2025) and $56.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 102.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 278.40 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 82.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 278.40 Mn |
| Mar 31, 2026 | 78.30 Mn |
| Dec 31, 2025 | 26.20 Mn |
| Sep 30, 2025 | 56.10 Mn |
| Jun 30, 2025 | 64.30 Mn |
| Mar 31, 2025 | 70.30 Mn |
| Dec 31, 2024 | 45.10 Mn |
| Sep 30, 2024 | 40.70 Mn |
| Jun 30, 2024 | 20.00 Mn |
| Mar 31, 2024 | 46.30 Mn |
| Dec 31, 2023 | 34.10 Mn |
| Sep 30, 2023 | 52.70 Mn |
| Jun 30, 2023 | 20.90 Mn |
| Mar 31, 2023 | 58.10 Mn |
| Dec 31, 2022 | 10.90 Mn |
| Sep 30, 2022 | 63.80 Mn |
| Jun 30, 2022 | 58.30 Mn |
| Mar 31, 2022 | 62.50 Mn |
| Dec 31, 2021 | 41.00 Mn |
| Sep 30, 2021 | 50.80 Mn |
API Access
Edwards Lifesciences Tax Provisions 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=tax-provisions&ticker=EW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();