Resmed (RMD) Accounts Payables (2010 - 2026)
Resmed's Accounts Payables came in at $308.92 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 11.1% from $278.16 million a year earlier and up 13.0% from the prior quarter.
Resmed (RMD) Accounts Payables (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Resmed's Accounts Payables data covers 65 quarters.
- Accounts Payables has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 17.5% (FY2021 to FY2026).
- Going back by fiscal year, Accounts Payables was $278.16 million in FY2025 (+17.0%), $237.73 million in FY2024 (+57.7%), $150.76 million in FY2023 (-5.3%) and $159.25 million in FY2022 (+15.4%).
- The fiscal Q4 2026 figure represents the highest quarterly Accounts Payables in data going back to fiscal Q4 2010.
- Year-over-year, Accounts Payables has increased for 11 consecutive quarters, with growth averaging 18.3% over the last eight quarters.
- The fastest year-over-year change in Accounts Payables over five years came in fiscal Q4 2024 (growth of 57.7%), and the weakest in fiscal Q4 2023 (a decline of 5.3%).
- Business Quant data shows RMD's Accounts Payables at $273.3 million (Q3 2026), $250.41 million (Q2 2026) and $266.78 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.54 Bn | 238.57 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 171.34 Bn | 141.77 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 163.66 Bn | 147.47 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 150.35 Bn | 129.77 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 119.62 Bn | 84.87 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 112.78 Bn | 98.90 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 64.90 Bn | 59.67 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 53.20 Bn | 50.35 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 50.53 Bn | 34.53 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Resmed | 35.86 Bn | 29.93 Bn | 861.22 Mn | 308.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 308.92 Mn |
| Mar 31, 2026 | 273.30 Mn |
| Dec 31, 2025 | 250.41 Mn |
| Sep 30, 2025 | 266.78 Mn |
| Jun 30, 2025 | 278.16 Mn |
| Mar 31, 2025 | 222.56 Mn |
| Dec 31, 2024 | 220.31 Mn |
| Sep 30, 2024 | 249.28 Mn |
| Jun 30, 2024 | 237.73 Mn |
| Mar 31, 2024 | 177.45 Mn |
| Dec 31, 2023 | 202.40 Mn |
| Sep 30, 2023 | 177.05 Mn |
| Jun 30, 2023 | 150.76 Mn |
| Mar 31, 2023 | 161.90 Mn |
| Dec 31, 2022 | 196.00 Mn |
| Sep 30, 2022 | 181.49 Mn |
| Jun 30, 2022 | 159.25 Mn |
| Mar 31, 2022 | 149.80 Mn |
| Dec 31, 2021 | 163.37 Mn |
| Sep 30, 2021 | 173.70 Mn |
Resmed Accounts 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=accounts-payables&ticker=RMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();