Resmed (RMD) Total Non-Current Liabilities (2010 - 2026)
Resmed's Total Non-Current Liabilities came in at $985.45 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 17.0% from $1.19 billion a year earlier but up 4.7% from the prior quarter.
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Analysis
Resmed (RMD) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Resmed's Total Non-Current Liabilities data covers 65 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 1.2% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $1.19 billion in FY2025 (+8.2%), $1.1 billion in FY2024 (-41.1%), $1.86 billion in FY2023 (+78.2%) and $1.05 billion in FY2022 (+12.4%).
- The five-year range for quarterly Total Non-Current Liabilities is $931.59 million (fiscal Q1 2026) to $2.21 billion (fiscal Q2 2023).
- Year-over-year, Total Non-Current Liabilities has declined for four consecutive quarters, with an average decline of 18.0% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q2 2023 (growth of 127.9%), and the weakest in fiscal Q4 2024 (a decline of 41.1%).
- Business Quant data shows RMD's Total Non-Current Liabilities at $941.16 million (Q3 2026), $934.38 million (Q2 2026) and $931.59 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.66 Bn | 237.68 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 172.25 Bn | 142.68 Bn | 7.27 Bn | - |
| 3 | Danaher | 163.69 Bn | 147.49 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 152.41 Bn | 131.83 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.51 Bn | 84.76 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 113.97 Bn | 100.09 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 65.25 Bn | 60.02 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.52 Bn | 50.67 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.90 Bn | 34.90 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Resmed | 35.86 Bn | 29.93 Bn | 861.22 Mn | 985.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 985.45 Mn |
| Mar 31, 2026 | 941.16 Mn |
| Dec 31, 2025 | 934.38 Mn |
| Sep 30, 2025 | 931.59 Mn |
| Jun 30, 2025 | 1.19 Bn |
| Mar 31, 2025 | 1.08 Bn |
| Dec 31, 2024 | 1.04 Bn |
| Sep 30, 2024 | 1.12 Bn |
| Jun 30, 2024 | 1.10 Bn |
| Mar 31, 2024 | 1.41 Bn |
| Dec 31, 2023 | 1.66 Bn |
| Sep 30, 2023 | 1.72 Bn |
| Jun 30, 2023 | 1.86 Bn |
| Mar 31, 2023 | 2.02 Bn |
| Dec 31, 2022 | 2.21 Bn |
| Sep 30, 2022 | 1.05 Bn |
| Jun 30, 2022 | 1.05 Bn |
| Mar 31, 2022 | 959.20 Mn |
| Dec 31, 2021 | 967.84 Mn |
| Sep 30, 2021 | 1.08 Bn |
API Access
Resmed Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();