Resmed (RMD) Change in Receivables (2009 - 2026)
Resmed (RMD) reported Change in Receivables of $37.21 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 613.5% from $5.22 million a year earlier and up 120.7% from the prior quarter.
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Analysis
Resmed (RMD) Change in Receivables (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Resmed posted Change in Receivables of $96.78 million, up 26.2% from FY2025.
- Change in Receivables has a five-year compound annual growth rate of -5.6% (FY2021 to FY2026).
- By fiscal year, Change in Receivables came in at $76.68 million in FY2025 (-42.9%), $134.28 million in FY2024 (+26.1%), $106.51 million in FY2023 and -$19.35 million in FY2022.
- Five-year quarterly Change in Receivables spans a low of -$48.77 million in fiscal Q2 2022 and a high of $78.81 million in fiscal Q4 2022.
- Year over year, Change in Receivables gained in three of the last six quarters, with growth averaging 99.3%.
- The high point for year-over-year Change in Receivables in five years was fiscal Q4 2026 (growth of 613.5%); the low point was fiscal Q4 2025 (a decline of 90.9%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $16.86 million (Q3 2026), $72.68 million (Q2 2026) and -$29.97 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (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 | 386.00 Mn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | -71.00 Mn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 74.90 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 177.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 46.00 Mn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 10.20 Mn |
| 10 | Resmed | 35.85 Bn | 29.92 Bn | 861.22 Mn | 37.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.21 Mn |
| Mar 31, 2026 | 16.86 Mn |
| Dec 31, 2025 | 72.68 Mn |
| Sep 30, 2025 | -29.97 Mn |
| Jun 30, 2025 | 5.22 Mn |
| Mar 31, 2025 | 40.03 Mn |
| Dec 31, 2024 | 67.85 Mn |
| Sep 30, 2024 | -36.42 Mn |
| Jun 30, 2024 | 57.52 Mn |
| Mar 31, 2024 | 56.49 Mn |
| Dec 31, 2023 | 26.80 Mn |
| Sep 30, 2023 | -6.53 Mn |
| Jun 30, 2023 | 18.06 Mn |
| Mar 31, 2023 | 12.63 Mn |
| Dec 31, 2022 | 19.59 Mn |
| Sep 30, 2022 | 56.24 Mn |
| Jun 30, 2022 | 78.81 Mn |
| Mar 31, 2022 | -15.69 Mn |
| Dec 31, 2021 | -48.77 Mn |
| Sep 30, 2021 | -33.70 Mn |
API Access
Resmed Change in 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=change-in-receivables&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();