Resmed (RMD) Payables (2010 - 2026)
Resmed (RMD) posted Payables of $568.87 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 97.5% from $288.06 million a year earlier and up 6.7% from the prior quarter.
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Analysis
Resmed (RMD) Payables (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Resmed has reported Payables for 65 quarters.
- Annual Payables has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 30.6% (FY2021 to FY2026).
- In prior fiscal years, Resmed's Payables was $288.06 million in FY2025 (+16.3%), $247.63 million in FY2024 (+54.1%), $160.66 million in FY2023 (-5.0%) and $169.16 million in FY2022 (+12.8%).
- The fiscal Q4 2026 figure stands as the highest quarterly Payables since fiscal Q2 2018.
- On a year-over-year basis, Payables has increased in each of the last 11 quarters, with growth averaging 67.4% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was fiscal Q3 2026, with growth of 129.4%; the weakest was fiscal Q4 2023, with a decline of 5.0%.
- According to Business Quant data, Payables for the three prior fiscal quarters was $533.23 million (Q3 2026), $510.31 million (Q2 2026) and $526.67 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 255.72 Bn | 234.75 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 180.50 Bn | 150.93 Bn | 7.27 Bn | 5.89 Bn |
| 3 | Danaher | 161.91 Bn | 145.72 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 151.39 Bn | 130.82 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 121.88 Bn | 87.13 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 116.40 Bn | 102.52 Bn | 4.50 Bn | 2.00 Bn |
| 7 | Boston Scientific | 67.06 Bn | 61.82 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 53.31 Bn | 50.46 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 51.33 Bn | 35.34 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Resmed | 36.02 Bn | 30.09 Bn | 861.22 Mn | 568.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 568.87 Mn |
| Mar 31, 2026 | 533.23 Mn |
| Dec 31, 2025 | 510.31 Mn |
| Sep 30, 2025 | 526.67 Mn |
| Jun 30, 2025 | 288.06 Mn |
| Mar 31, 2025 | 232.47 Mn |
| Dec 31, 2024 | 230.22 Mn |
| Sep 30, 2024 | 259.17 Mn |
| Jun 30, 2024 | 247.63 Mn |
| Mar 31, 2024 | 187.35 Mn |
| Dec 31, 2023 | 212.29 Mn |
| Sep 30, 2023 | 186.95 Mn |
| Jun 30, 2023 | 160.66 Mn |
| Mar 31, 2023 | 171.80 Mn |
| Dec 31, 2022 | 205.90 Mn |
| Sep 30, 2022 | 191.39 Mn |
| Jun 30, 2022 | 169.16 Mn |
| Mar 31, 2022 | 161.76 Mn |
| Dec 31, 2021 | 175.37 Mn |
| Sep 30, 2021 | 185.70 Mn |
API Access
Resmed 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=payables&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();