Resmed (RMD) Total Current Liabilities (2010 - 2026)
Resmed (RMD) reported Total Current Liabilities of $1.32 billion for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 5.5% from $1.26 billion a year earlier but down 5.1% from the prior quarter.
Resmed (RMD) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Resmed posted Total Current Liabilities of $1.4 billion, up 36.9% from FY2025.
- 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%).
- Five-year quarterly Total Current Liabilities spans a low of $621.06 million in fiscal Q2 2022 and a high of $1.4 billion in fiscal Q4 2026.
- Year over year, Total Current Liabilities has now increased in each of the last 17 quarters, with growth averaging 27.1% 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 Q1 2027 came in at $1.4 billion (Q4 2026), $1.35 billion (Q3 2026) and $1.25 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Resmed | 33.31 Bn | 27.76 Bn | 870.57 Mn | 1.32 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.32 Bn |
| 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 |
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_KEY
import 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();