Edwards Lifesciences (EW) Other Non-Current Liabilities (2009 - 2026)
Edwards Lifesciences (EW) posted Other Liabilities of $926.6 million for Q3 2026, up 15.0% from $805.5 million a year earlier but down 2.9% from the prior quarter.
Edwards Lifesciences (EW) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Edwards Lifesciences' Other Liabilities came in at $865 million, up 6.7% from FY2024.
- Annual Other Liabilities has increased for three consecutive years, though with a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Edwards Lifesciences' Other Liabilities was $810.6 million in FY2024 (+19.1%), $680.5 million in FY2023 (+4.0%), $654.2 million in FY2022 (-16.1%) and $779.6 million in FY2021 (-12.0%).
- Quarterly Other Liabilities has run from a low of $654.2 million in Q4 2022 to a high of $954 million in Q2 2026 over five years.
- On a year-over-year basis, Other Liabilities has increased in each of the last ten quarters, with growth averaging 14.8% over the last eight quarters.
- The strongest year-over-year quarter for Other Liabilities in the past five years was Q1 2026, with growth of 19.2%; the weakest was Q4 2022, with a decline of 16.1%.
- According to Business Quant data, Other Liabilities for the three prior quarters was $954 million (Q2 2026), $906.1 million (Q1 2026) and $865 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 50.16 Bn | 43.05 Bn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 926.60 Mn |
| Jun 30, 2026 | 954.00 Mn |
| Mar 31, 2026 | 906.10 Mn |
| Dec 31, 2025 | 865.00 Mn |
| Sep 30, 2025 | 805.50 Mn |
| Jun 30, 2025 | 800.80 Mn |
| Mar 31, 2025 | 760.20 Mn |
| Dec 31, 2024 | 810.60 Mn |
| Sep 30, 2024 | 732.10 Mn |
| Jun 30, 2024 | 675.10 Mn |
| Mar 31, 2024 | 685.10 Mn |
| Dec 31, 2023 | 680.50 Mn |
| Sep 30, 2023 | 656.80 Mn |
| Jun 30, 2023 | 658.90 Mn |
| Mar 31, 2023 | 701.10 Mn |
| Dec 31, 2022 | 654.20 Mn |
| Sep 30, 2022 | 696.30 Mn |
| Jun 30, 2022 | 710.00 Mn |
| Mar 31, 2022 | 770.80 Mn |
| Dec 31, 2021 | 779.60 Mn |
Edwards Lifesciences Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();