Edwards Lifesciences (EW) Total Current Liabilities (2009 - 2026)
Edwards Lifesciences (EW) recorded Total Current Liabilities of $1.58 billion in Q3 2026, down 0.7% from $1.59 billion a year earlier but up 4.6% from the prior quarter.
Edwards Lifesciences (EW) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Edwards Lifesciences reported Total Current Liabilities of $1.81 billion, up 20.5% from FY2024.
- Annual Total Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $1.51 billion in FY2024 (+25.9%), $1.2 billion in FY2023 (+16.9%), $1.02 billion in FY2022 (-1.0%) and $1.03 billion in FY2021 (+15.5%).
- Quarterly Total Current Liabilities has ranged from $917.9 million in Q3 2022 to $1.94 billion in Q3 2024 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in six of the last eight quarters, with growth averaging 9.6%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 56.9% in Q3 2024, against a decline of 18.3% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.51 billion (Q2 2026), $1.41 billion (Q1 2026) and $1.81 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Agilent Technologies | 50.16 Bn | 43.05 Bn | 1.04 Bn | 2.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.58 Bn |
| Jun 30, 2026 | 1.51 Bn |
| Mar 31, 2026 | 1.41 Bn |
| Dec 31, 2025 | 1.81 Bn |
| Sep 30, 2025 | 1.59 Bn |
| Jun 30, 2025 | 1.40 Bn |
| Mar 31, 2025 | 1.39 Bn |
| Dec 31, 2024 | 1.51 Bn |
| Sep 30, 2024 | 1.94 Bn |
| Jun 30, 2024 | 1.22 Bn |
| Mar 31, 2024 | 1.11 Bn |
| Dec 31, 2023 | 1.20 Bn |
| Sep 30, 2023 | 1.24 Bn |
| Jun 30, 2023 | 1.16 Bn |
| Mar 31, 2023 | 1.08 Bn |
| Dec 31, 2022 | 1.02 Bn |
| Sep 30, 2022 | 917.90 Mn |
| Jun 30, 2022 | 969.10 Mn |
| Mar 31, 2022 | 949.90 Mn |
| Dec 31, 2021 | 1.03 Bn |
Edwards Lifesciences Total 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=total-current-liabilities&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-current-liabilities&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();