Resmed (RMD) Total Liabilities (2010 - 2026)
Resmed's Total Liabilities came in at $2.26 billion for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 3.5% from $2.19 billion a year earlier but down 4.9% from the prior quarter.
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Analysis
Resmed (RMD) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Resmed's Total Liabilities was $2.38 billion, up 7.9% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of 5.3% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $2.21 billion in FY2025 (+9.9%), $2.01 billion in FY2024 (-23.4%), $2.62 billion in FY2023 (+51.1%) and $1.74 billion in FY2022 (-5.8%).
- The five-year range for quarterly Total Liabilities is $1.59 billion (fiscal Q2 2022) to $2.94 billion (fiscal Q2 2023).
- Year-over-year, Total Liabilities has increased for six consecutive quarters, with growth averaging 3.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2023 (growth of 84.9%), and the weakest in fiscal Q4 2024 (a decline of 23.4%).
- Business Quant data shows RMD's Total Liabilities at $2.38 billion (Q4 2026), $2.29 billion (Q3 2026) and $2.18 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Resmed | 33.31 Bn | 27.76 Bn | 870.57 Mn | 2.26 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.26 Bn |
| Jun 30, 2026 | 2.38 Bn |
| Mar 31, 2026 | 2.29 Bn |
| Dec 31, 2025 | 2.18 Bn |
| Sep 30, 2025 | 2.19 Bn |
| Jun 30, 2025 | 2.21 Bn |
| Mar 31, 2025 | 2.02 Bn |
| Dec 31, 2024 | 1.89 Bn |
| Sep 30, 2024 | 2.03 Bn |
| Jun 30, 2024 | 2.01 Bn |
| Mar 31, 2024 | 2.18 Bn |
| Dec 31, 2023 | 2.42 Bn |
| Sep 30, 2023 | 2.49 Bn |
| Jun 30, 2023 | 2.62 Bn |
| Mar 31, 2023 | 2.78 Bn |
| Dec 31, 2022 | 2.94 Bn |
| Sep 30, 2022 | 1.74 Bn |
| Jun 30, 2022 | 1.74 Bn |
| Mar 31, 2022 | 1.63 Bn |
| Dec 31, 2021 | 1.59 Bn |
API Access
Resmed Total 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-liabilities&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();