Resmed (RMD) Total Liabilities (2010 - 2026)
Resmed's Total Liabilities came in at $2.38 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 7.9% from $2.21 billion a year earlier and up 3.8% from the prior quarter.
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Analysis
Resmed (RMD) Total Liabilities (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Resmed's Total Liabilities data covers 65 quarters.
- 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 fiscal Q4 2026 figure represents the highest quarterly Total Liabilities since fiscal Q2 2024.
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with growth averaging 0.8% 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 $2.29 billion (Q3 2026), $2.18 billion (Q2 2026) and $2.19 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.30 Bn | 239.33 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 170.90 Bn | 141.33 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 164.81 Bn | 148.62 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 152.46 Bn | 131.89 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 119.28 Bn | 84.53 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 112.91 Bn | 99.03 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 64.87 Bn | 59.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 53.24 Bn | 50.39 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.42 Bn | 34.43 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Resmed | 35.82 Bn | 29.89 Bn | 861.22 Mn | 2.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.70 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();