Edwards Lifesciences (EW) Other Non-Current Liabilities (2009 - 2026)
Edwards Lifesciences (EW) posted Other Non-Current Liabilities of $572.2 million for Q2 2026, up 35.7% from $421.6 million a year earlier and up 3.0% from the prior quarter.
Powered by 
Analysis
Edwards Lifesciences (EW) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Edwards Lifesciences' Other Non-Current Liabilities came in at $502.7 million, up 30.7% from FY2024.
- Annual Other Non-Current Liabilities has increased for seven consecutive years, with a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- In prior years, Edwards Lifesciences' Other Non-Current Liabilities was $384.6 million in FY2024 (+14.8%), $335 million in FY2023 (+25.2%), $267.5 million in FY2022 (+0.1%) and $267.3 million in FY2021 (+5.9%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last 19 quarters, with growth averaging 25.1% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q1 2026, with growth of 38.0%; the weakest was Q3 2021, with a decline of 43.1%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $555.4 million (Q1 2026), $502.7 million (Q4 2025) and $442.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 49.34 Bn | 42.23 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 572.20 Mn |
| Mar 31, 2026 | 555.40 Mn |
| Dec 31, 2025 | 502.70 Mn |
| Sep 30, 2025 | 442.90 Mn |
| Jun 30, 2025 | 421.60 Mn |
| Mar 31, 2025 | 402.60 Mn |
| Dec 31, 2024 | 384.60 Mn |
| Sep 30, 2024 | 345.60 Mn |
| Jun 30, 2024 | 343.20 Mn |
| Mar 31, 2024 | 336.60 Mn |
| Dec 31, 2023 | 335.00 Mn |
| Sep 30, 2023 | 312.10 Mn |
| Jun 30, 2023 | 303.70 Mn |
| Mar 31, 2023 | 284.00 Mn |
| Dec 31, 2022 | 267.50 Mn |
| Sep 30, 2022 | 295.60 Mn |
| Jun 30, 2022 | 282.40 Mn |
| Mar 31, 2022 | 270.70 Mn |
| Dec 31, 2021 | 267.30 Mn |
| Sep 30, 2021 | 275.50 Mn |
API Access
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_KEYimport 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();