Resmed (RMD) Prepaid Assets (2010 - 2026)
Resmed (RMD) posted Prepaid Assets of $416.08 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 3.0% from $428.95 million a year earlier and down 15.6% from the prior quarter.
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Analysis
Resmed (RMD) Prepaid Assets (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Resmed has reported Prepaid Assets for 52 quarters.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 14.9% (FY2021 to FY2026).
- In prior fiscal years, Resmed's Prepaid Assets was $428.95 million in FY2025 (-6.7%), $459.83 million in FY2024 (+5.2%), $437.02 million in FY2023 (+29.3%) and $337.91 million in FY2022 (+62.3%).
- Quarterly Prepaid Assets has run from a low of $145.35 million in fiscal Q2 2022 to a high of $572.19 million in fiscal Q2 2025 over five years.
- On a year-over-year basis, Prepaid Assets has declined in each of the last five quarters, with an average decline of 2.9% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was fiscal Q2 2023, with growth of 182.6%; the weakest was fiscal Q2 2022, with a decline of 31.3%.
- According to Business Quant data, Prepaid Assets for the three prior fiscal quarters was $492.84 million (Q3 2026), $494.05 million (Q2 2026) and $388.81 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 | 416.08 Mn |
| Mar 31, 2026 | 492.84 Mn |
| Dec 31, 2025 | 494.05 Mn |
| Sep 30, 2025 | 388.81 Mn |
| Jun 30, 2025 | 428.95 Mn |
| Mar 31, 2025 | 505.24 Mn |
| Dec 31, 2024 | 572.19 Mn |
| Sep 30, 2024 | 485.58 Mn |
| Jun 30, 2024 | 459.83 Mn |
| Mar 31, 2024 | 504.66 Mn |
| Dec 31, 2023 | 504.88 Mn |
| Sep 30, 2023 | 444.86 Mn |
| Jun 30, 2023 | 437.02 Mn |
| Mar 31, 2023 | 412.39 Mn |
| Dec 31, 2022 | 410.73 Mn |
| Sep 30, 2022 | 341.20 Mn |
| Jun 30, 2022 | 337.91 Mn |
| Mar 31, 2022 | 220.11 Mn |
| Dec 31, 2021 | 145.35 Mn |
| Sep 30, 2021 | 150.08 Mn |
API Access
Resmed Prepaid Assets 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=prepaid-assets&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();