Resmed (RMD) Accumulated Expenses (2010 - 2026)
Resmed (RMD) recorded Accumulated Expenses of $494.92 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 23.0% from $402.25 million a year earlier and up 10.9% from the prior quarter.
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Analysis
Resmed (RMD) Accumulated Expenses (2010 - 2026) Analysis & Trends
Starting with fiscal Q4 2010, Resmed's Accumulated Expenses history includes 65 quarters.
- Annual Accumulated Expenses has increased for eight straight fiscal years, with a five-year compound annual growth rate of 9.1% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $402.25 million in FY2025 (+6.5%), $377.68 million in FY2024 (+3.3%), $365.66 million in FY2023 (+6.1%) and $344.72 million in FY2022 (+7.5%).
- The fiscal Q4 2026 figure is the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2010.
- On a year-over-year basis, Accumulated Expenses has increased for 31 consecutive quarters, with growth averaging 10.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Accumulated Expenses ran from 1.6% in fiscal Q1 2022 to 23.0% in fiscal Q4 2026.
- Per Business Quant, the preceding three fiscal quarters came in at $446.15 million (Q3 2026), $391.5 million (Q2 2026) and $395.83 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.21 Bn | 233.23 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 176.12 Bn | 146.55 Bn | 7.27 Bn |
| 3 | Danaher | 164.23 Bn | 148.04 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 155.68 Bn | 135.10 Bn | 1.96 Bn |
| 5 | Medtronic | 121.85 Bn | 87.10 Bn | 6.34 Bn |
| 6 | Stryker | 117.33 Bn | 103.45 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.63 Bn | 61.40 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.34 Bn | 51.49 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.61 Bn | 35.62 Bn | 1.35 Bn |
| 10 | Resmed | 36.21 Bn | 30.28 Bn | 861.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 494.92 Mn |
| Mar 31, 2026 | 446.15 Mn |
| Dec 31, 2025 | 391.50 Mn |
| Sep 30, 2025 | 395.83 Mn |
| Jun 30, 2025 | 402.25 Mn |
| Mar 31, 2025 | 386.33 Mn |
| Dec 31, 2024 | 352.54 Mn |
| Sep 30, 2024 | 365.75 Mn |
| Jun 30, 2024 | 377.68 Mn |
| Mar 31, 2024 | 356.08 Mn |
| Dec 31, 2023 | 332.14 Mn |
| Sep 30, 2023 | 348.26 Mn |
| Jun 30, 2023 | 365.66 Mn |
| Mar 31, 2023 | 347.35 Mn |
| Dec 31, 2022 | 312.17 Mn |
| Sep 30, 2022 | 324.06 Mn |
| Jun 30, 2022 | 344.72 Mn |
| Mar 31, 2022 | 326.28 Mn |
| Dec 31, 2021 | 286.80 Mn |
| Sep 30, 2021 | 274.11 Mn |
API Access
Resmed Accumulated 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=accumulated-expenses&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();