Resmed (RMD) Other Non-Current Liabilities (2010 - 2026)
Resmed (RMD) reported Other Non-Current Liabilities of $213.03 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 50.5% from $141.52 million a year earlier and up 45.8% from the prior quarter.
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Analysis
Resmed (RMD) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Resmed's Other Non-Current Liabilities record includes 65 quarters.
- Other Non-Current Liabilities has a five-year compound annual growth rate of 27.6% (FY2021 to FY2026).
- By fiscal year, Other Non-Current Liabilities came in at $141.52 million in FY2025 (+234.9%), $42.26 million in FY2024 (-38.0%), $68.17 million in FY2023 (+39.5%) and $48.88 million in FY2022 (-22.3%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Other Non-Current Liabilities in data going back to fiscal Q4 2010.
- Year over year, Other Non-Current Liabilities gained in six of the last seven quarters, with growth averaging 87.1%.
- The high point for year-over-year Other Non-Current Liabilities in five years was fiscal Q4 2025 (growth of 234.9%); the low point was fiscal Q2 2025 (a decline of 85.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $146.08 million (Q3 2026), $138.54 million (Q2 2026) and $138.18 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 | 213.03 Mn |
| Mar 31, 2026 | 146.08 Mn |
| Dec 31, 2025 | 138.54 Mn |
| Sep 30, 2025 | 138.18 Mn |
| Jun 30, 2025 | 141.52 Mn |
| Mar 31, 2025 | 48.98 Mn |
| Dec 31, 2024 | 10.83 Mn |
| Sep 30, 2024 | 83.27 Mn |
| Jun 30, 2024 | 42.26 Mn |
| Mar 31, 2024 | 59.71 Mn |
| Dec 31, 2023 | 85.05 Mn |
| Sep 30, 2023 | 46.49 Mn |
| Jun 30, 2023 | 105.35 Mn |
| Mar 31, 2023 | 106.74 Mn |
| Dec 31, 2022 | 87.79 Mn |
| Sep 30, 2022 | 42.91 Mn |
| Jun 30, 2022 | 54.86 Mn |
| Mar 31, 2022 | 58.40 Mn |
| Dec 31, 2021 | 59.59 Mn |
| Sep 30, 2021 | 59.23 Mn |
API Access
Resmed Other 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=other-non-current-liabilities&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();