Edwards Lifesciences (EW) Accounts Payables (2009 - 2026)
Edwards Lifesciences (EW) reported Accounts Payables of $210.5 million for Q2 2026, up 29.9% from $162.1 million a year earlier and up 16.2% from the prior quarter.
Edwards Lifesciences (EW) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Edwards Lifesciences posted Accounts Payables of $227.5 million, up 15.2% from FY2024.
- Accounts Payables has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- By year, Accounts Payables came in at $197.4 million in FY2024 (+5.8%), $186.6 million in FY2023 (-7.6%), $201.9 million in FY2022 (-1.3%) and $204.5 million in FY2021 (+4.1%).
- Five-year quarterly Accounts Payables spans a low of $139.5 million in Q3 2021 and a high of $227.5 million in Q4 2025.
- Year over year, Accounts Payables has now increased in each of the last three quarters, with growth averaging 1.3% over the last eight quarters.
- The high point for year-over-year Accounts Payables in five years was Q2 2026 (growth of 29.9%); the low point was Q3 2021 (a decline of 83.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $181.1 million (Q1 2026), $227.5 million (Q4 2025) and $165 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 608.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 210.50 Mn |
| Mar 31, 2026 | 181.10 Mn |
| Dec 31, 2025 | 227.50 Mn |
| Sep 30, 2025 | 165.00 Mn |
| Jun 30, 2025 | 162.10 Mn |
| Mar 31, 2025 | 172.40 Mn |
| Dec 31, 2024 | 197.40 Mn |
| Sep 30, 2024 | 172.80 Mn |
| Jun 30, 2024 | 185.90 Mn |
| Mar 31, 2024 | 212.30 Mn |
| Dec 31, 2023 | 186.60 Mn |
| Sep 30, 2023 | 190.60 Mn |
| Jun 30, 2023 | 193.00 Mn |
| Mar 31, 2023 | 180.80 Mn |
| Dec 31, 2022 | 201.90 Mn |
| Sep 30, 2022 | 154.90 Mn |
| Jun 30, 2022 | 162.50 Mn |
| Mar 31, 2022 | 158.80 Mn |
| Dec 31, 2021 | 204.50 Mn |
| Sep 30, 2021 | 139.50 Mn |
Edwards Lifesciences Accounts Payables 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=accounts-payables&ticker=EW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();