Resmed (RMD) Non-Current Assets (2010 - 2026)
Resmed (RMD) posted Non-Current Assets of $4.7 billion for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 0.4% from $4.68 billion a year earlier and up 1.3% from the prior quarter.
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Analysis
Resmed (RMD) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Resmed's Non-Current Assets came in at $4.64 billion, down 0.6% from FY2025.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 8.0% (FY2021 to FY2026).
- In prior fiscal years, Resmed's Non-Current Assets was $4.67 billion in FY2025 (+3.4%), $4.51 billion in FY2024 (+3.0%), $4.38 billion in FY2023 (+38.5%) and $3.16 billion in FY2022 (+0.3%).
- Quarterly Non-Current Assets has run from a low of $3.14 billion in fiscal Q1 2023 to a high of $4.72 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Non-Current Assets increased in five of the last eight quarters, with growth averaging 1.9%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q1 2024, with growth of 41.1%; the weakest was fiscal Q2 2025, with a decline of 4.9%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $4.64 billion (Q4 2026), $4.72 billion (Q3 2026) and $4.68 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 88.62 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 84.75 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 78.49 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 10.92 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 33.06 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 37.30 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 6.90 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Resmed | 33.31 Bn | 27.76 Bn | 870.57 Mn | 4.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.70 Bn |
| Jun 30, 2026 | 4.64 Bn |
| Mar 31, 2026 | 4.72 Bn |
| Dec 31, 2025 | 4.68 Bn |
| Sep 30, 2025 | 4.68 Bn |
| Jun 30, 2025 | 4.67 Bn |
| Mar 31, 2025 | 4.36 Bn |
| Dec 31, 2024 | 4.31 Bn |
| Sep 30, 2024 | 4.58 Bn |
| Jun 30, 2024 | 4.51 Bn |
| Mar 31, 2024 | 4.46 Bn |
| Dec 31, 2023 | 4.53 Bn |
| Sep 30, 2023 | 4.44 Bn |
| Jun 30, 2023 | 4.38 Bn |
| Mar 31, 2023 | 4.38 Bn |
| Dec 31, 2022 | 4.35 Bn |
| Sep 30, 2022 | 3.14 Bn |
| Jun 30, 2022 | 3.16 Bn |
| Mar 31, 2022 | 3.20 Bn |
| Dec 31, 2021 | 3.19 Bn |
API Access
Resmed Non-Current 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=non-current-assets&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();