Resmed (RMD) Notes Payables (2015 - 2026)
Resmed's Short-Term Borrowings came in at $159.98 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 38.4% from $259.9 million a year earlier and down 38.5% from the prior quarter.
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Analysis
Resmed (RMD) Notes Payables (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Resmed's Short-Term Borrowings was $259.95 million.
- Short-Term Borrowings carries a five-year compound annual growth rate of 85.0% (FY2021 to FY2026).
- Going back by fiscal year, Short-Term Borrowings was $9.9 million in FY2025 (unchanged), $9.9 million in FY2024 (unchanged), $9.9 million in FY2023 (-0.1%) and $9.92 million in FY2022 (-17.4%).
- The fiscal Q1 2027 figure represents the lowest quarterly Short-Term Borrowings since fiscal Q4 2025.
- Year-over-year, Short-Term Borrowings increased in 1 of the last four quarters, with an average decline of 9.6%.
- The fastest year-over-year change in Short-Term Borrowings over five years came in fiscal Q2 2022 (growth of 0.1%), and the weakest in fiscal Q1 2027 (a decline of 38.4%).
- Business Quant data shows RMD's Short-Term Borrowings at $259.95 million (Q4 2026), $259.93 million (Q3 2026) and $259.91 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn |
| 10 | Resmed | 33.31 Bn | 27.76 Bn | 870.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 159.98 Mn |
| Jun 30, 2026 | 259.95 Mn |
| Mar 31, 2026 | 259.93 Mn |
| Dec 31, 2025 | 259.91 Mn |
| Sep 30, 2025 | 259.90 Mn |
| Jun 30, 2025 | 9.90 Mn |
| Mar 31, 2025 | 9.91 Mn |
| Dec 31, 2024 | 9.91 Mn |
| Sep 30, 2024 | 9.90 Mn |
| Jun 30, 2024 | 9.90 Mn |
| Mar 31, 2024 | 9.90 Mn |
| Dec 31, 2023 | 9.90 Mn |
| Sep 30, 2023 | 9.91 Mn |
| Jun 30, 2023 | 9.90 Mn |
| Mar 31, 2023 | 9.90 Mn |
| Dec 31, 2022 | 9.90 Mn |
| Sep 30, 2022 | 9.91 Mn |
| Jun 30, 2022 | 9.92 Mn |
| Mar 31, 2022 | 11.97 Mn |
| Dec 31, 2021 | 12.00 Mn |
API Access
Resmed Notes Payables 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=notes-payables&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();