Resmed (RMD) Total Current Liabilities (2010 - 2026)
Resmed (RMD) reported Total Current Liabilities of $1.4 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 36.9% from $1.02 billion a year earlier and up 3.2% from the prior quarter.
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Analysis
Resmed (RMD) Total Current Liabilities (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Resmed's Total Current Liabilities record includes 65 quarters.
- Total Current Liabilities has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 8.9% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $1.02 billion in FY2025 (+11.9%), $910.66 million in FY2024 (+20.1%), $758.53 million in FY2023 (+10.0%) and $689.3 million in FY2022 (-24.4%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2010.
- Year over year, Total Current Liabilities has now increased in each of the last 16 quarters, with growth averaging 28.5% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q2 2026 (growth of 46.5%); the low point was fiscal Q4 2022 (a decline of 24.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $1.35 billion (Q3 2026), $1.25 billion (Q2 2026) and $1.26 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Resmed | 32.04 Bn | 26.11 Bn | 861.22 Mn | 1.40 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.40 Bn |
| Mar 31, 2026 | 1.35 Bn |
| Dec 31, 2025 | 1.25 Bn |
| Sep 30, 2025 | 1.26 Bn |
| Jun 30, 2025 | 1.02 Bn |
| Mar 31, 2025 | 940.52 Mn |
| Dec 31, 2024 | 851.96 Mn |
| Sep 30, 2024 | 904.08 Mn |
| Jun 30, 2024 | 910.66 Mn |
| Mar 31, 2024 | 773.03 Mn |
| Dec 31, 2023 | 764.07 Mn |
| Sep 30, 2023 | 770.80 Mn |
| Jun 30, 2023 | 758.53 Mn |
| Mar 31, 2023 | 761.69 Mn |
| Dec 31, 2022 | 732.71 Mn |
| Sep 30, 2022 | 692.66 Mn |
| Jun 30, 2022 | 689.30 Mn |
| Mar 31, 2022 | 667.27 Mn |
| Dec 31, 2021 | 621.06 Mn |
| Sep 30, 2021 | 624.16 Mn |
API Access
Resmed Total 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-current-liabilities&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();