Resmed (RMD) Change in Accured Expenses (2009 - 2026)
Resmed (RMD) reported Change in Accured Expenses of $50.56 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.0% from $49.09 million a year earlier but down 51.3% from the prior quarter.
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Analysis
Resmed (RMD) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Resmed posted Change in Accured Expenses of $172.72 million, up 89.9% from FY2025.
- Change in Accured Expenses has a five-year compound annual growth rate of -3.9% (FY2021 to FY2026).
- By fiscal year, Change in Accured Expenses came in at $90.96 million in FY2025 (-25.5%), $122.07 million in FY2024 (+289.5%), $31.34 million in FY2023 and -$247.63 million in FY2022.
- Five-year quarterly Change in Accured Expenses spans a low of -$293.3 million in fiscal Q1 2022 and a high of $121.98 million in fiscal Q4 2024.
- Year over year, Change in Accured Expenses has now increased in each of the last three quarters, with growth averaging 47.6% over the last five quarters.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q2 2026 (growth of 152.3%); the low point was fiscal Q4 2023 (a decline of 98.9%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $103.88 million (Q3 2026), $10.65 million (Q2 2026) and $7.64 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.22 Bn | 227.25 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 178.33 Bn | 148.76 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.74 Bn | 143.54 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 158.45 Bn | 138.74 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 122.77 Bn | 88.02 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 118.25 Bn | 104.37 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Becton Dickinson | 54.49 Bn | 51.64 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.67 Bn | 35.68 Bn | 1.35 Bn | 123.70 Mn |
| 10 | Resmed | 36.93 Bn | 31.00 Bn | 861.22 Mn | 50.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.56 Mn |
| Mar 31, 2026 | 103.88 Mn |
| Dec 31, 2025 | 10.65 Mn |
| Sep 30, 2025 | 7.64 Mn |
| Jun 30, 2025 | 49.09 Mn |
| Mar 31, 2025 | 63.09 Mn |
| Dec 31, 2024 | 4.22 Mn |
| Sep 30, 2024 | -25.44 Mn |
| Jun 30, 2024 | 121.98 Mn |
| Mar 31, 2024 | 35.49 Mn |
| Dec 31, 2023 | -34.37 Mn |
| Sep 30, 2023 | -1.02 Mn |
| Jun 30, 2023 | 330,000.00 |
| Mar 31, 2023 | 40.24 Mn |
| Dec 31, 2022 | -17.27 Mn |
| Sep 30, 2022 | 8.04 Mn |
| Jun 30, 2022 | 30.34 Mn |
| Mar 31, 2022 | 27.72 Mn |
| Dec 31, 2021 | -12.39 Mn |
| Sep 30, 2021 | -293.30 Mn |
API Access
Resmed Change in Accured Expenses 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=change-in-accured-expenses&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();