Resmed (RMD) Receivables - Net (2010 - 2026)
Resmed's Receivables - Net was $1.04 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 10.3% from $939.49 million a year earlier and up 3.7% from the prior quarter.
Powered by 
Analysis
Resmed (RMD) Receivables - Net (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Resmed has reported Receivables - Net for 65 quarters.
- Receivables - Net has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 11.0% (FY2021 to FY2026).
- In earlier fiscal years, Receivables - Net was $939.49 million in FY2025 (+12.2%), $837.28 million in FY2024 (+18.8%), $704.91 million in FY2023 (+22.4%) and $575.95 million in FY2022 (-6.2%).
- The fiscal Q4 2026 figure marks the highest quarterly Receivables - Net in data going back to fiscal Q4 2010.
- Compared with a year earlier, Receivables - Net has increased for 16 straight quarters, with growth averaging 13.8% over the last eight quarters.
- The best year-over-year quarter for Receivables - Net over five years was fiscal Q3 2023 (growth of 34.9%); the worst was fiscal Q4 2022 (a decline of 6.2%).
- Per Business Quant data, RMD's Receivables - Net in the three fiscal quarters before Q4 2026 was $998.84 million (Q3 2026), $985.63 million (Q2 2026) and $907.27 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Resmed | 35.85 Bn | 29.92 Bn | 861.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.04 Bn |
| Mar 31, 2026 | 998.84 Mn |
| Dec 31, 2025 | 985.63 Mn |
| Sep 30, 2025 | 907.27 Mn |
| Jun 30, 2025 | 939.49 Mn |
| Mar 31, 2025 | 907.83 Mn |
| Dec 31, 2024 | 859.94 Mn |
| Sep 30, 2024 | 811.20 Mn |
| Jun 30, 2024 | 837.28 Mn |
| Mar 31, 2024 | 779.27 Mn |
| Dec 31, 2023 | 729.74 Mn |
| Sep 30, 2023 | 692.39 Mn |
| Jun 30, 2023 | 704.91 Mn |
| Mar 31, 2023 | 686.26 Mn |
| Dec 31, 2022 | 672.27 Mn |
| Sep 30, 2022 | 620.48 Mn |
| Jun 30, 2022 | 575.95 Mn |
| Mar 31, 2022 | 508.58 Mn |
| Dec 31, 2021 | 526.04 Mn |
| Sep 30, 2021 | 575.55 Mn |
API Access
Resmed Receivables - Net 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-net&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "RMD", "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-net&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();