Edwards Lifesciences (EW) Receivables (2009 - 2026)
Edwards Lifesciences (EW) recorded Receivables of $937.8 million in Q3 2026, up 5.0% from $892.8 million a year earlier but down 1.9% from the prior quarter.
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Analysis
Edwards Lifesciences (EW) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Edwards Lifesciences reported Receivables of $912.1 million, up 25.4% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $727.4 million in FY2024 (-12.7%), $833.3 million in FY2023 (+19.2%), $699.1 million in FY2022 (+5.1%) and $664.9 million in FY2021 (+10.3%).
- Quarterly Receivables has ranged from $147.1 million in Q4 2024 to $973 million in Q1 2026 over the past five years.
- On a year-over-year basis, Receivables has increased for six consecutive quarters, with growth averaging 60.3% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 520.1% in Q4 2025, against a decline of 82.2% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $955.7 million (Q2 2026), $973 million (Q1 2026) and $912.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 11.32 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 9.03 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 4.13 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 1.72 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 3.69 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 3.11 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 937.80 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 2.36 Bn |
| 10 | Agilent Technologies | 49.29 Bn | 42.18 Bn | 1.04 Bn | 1.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 937.80 Mn |
| Jun 30, 2026 | 955.70 Mn |
| Mar 31, 2026 | 973.00 Mn |
| Dec 31, 2025 | 912.10 Mn |
| Sep 30, 2025 | 892.80 Mn |
| Jun 30, 2025 | 902.60 Mn |
| Mar 31, 2025 | 751.90 Mn |
| Dec 31, 2024 | 147.10 Mn |
| Sep 30, 2024 | 811.50 Mn |
| Jun 30, 2024 | 834.40 Mn |
| Mar 31, 2024 | 876.90 Mn |
| Dec 31, 2023 | 828.10 Mn |
| Sep 30, 2023 | 802.10 Mn |
| Jun 30, 2023 | 816.90 Mn |
| Mar 31, 2023 | 779.30 Mn |
| Dec 31, 2022 | 699.10 Mn |
| Sep 30, 2022 | 661.40 Mn |
| Jun 30, 2022 | 679.20 Mn |
| Mar 31, 2022 | 686.20 Mn |
| Dec 31, 2021 | 664.90 Mn |
API Access
Edwards Lifesciences Receivables 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=receivables&ticker=EW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=EW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();