Resmed (RMD) Operating Expenses (2009 - 2026)
Resmed's Operating Expenses was $412.51 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 12.9% from $365.53 million a year earlier and up 5.5% from the prior quarter.
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Analysis
Resmed (RMD) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Expenses at Resmed came in at $1.57 billion, up 14.3% from FY2025.
- Operating Expenses has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 10.8% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $1.37 billion in FY2025 (+2.6%), $1.34 billion in FY2024 (+9.1%), $1.22 billion in FY2023 (+19.5%) and $1.02 billion in FY2022 (+9.5%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- Compared with a year earlier, Operating Expenses has increased for six straight quarters, with growth averaging 8.7% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2023 (growth of 28.1%); the worst was fiscal Q2 2025 (a decline of 10.2%).
- Per Business Quant data, RMD's Operating Expenses in the three fiscal quarters before Q4 2026 was $391.17 million (Q3 2026), $387.06 million (Q2 2026) and $374.28 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Resmed | 32.04 Bn | 26.11 Bn | 861.22 Mn | 412.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 412.51 Mn |
| Mar 31, 2026 | 391.17 Mn |
| Dec 31, 2025 | 387.06 Mn |
| Sep 30, 2025 | 374.28 Mn |
| Jun 30, 2025 | 365.53 Mn |
| Mar 31, 2025 | 340.14 Mn |
| Dec 31, 2024 | 334.03 Mn |
| Sep 30, 2024 | 329.91 Mn |
| Jun 30, 2024 | 334.31 Mn |
| Mar 31, 2024 | 318.20 Mn |
| Dec 31, 2023 | 371.84 Mn |
| Sep 30, 2023 | 311.06 Mn |
| Jun 30, 2023 | 342.12 Mn |
| Mar 31, 2023 | 317.08 Mn |
| Dec 31, 2022 | 299.52 Mn |
| Sep 30, 2022 | 265.07 Mn |
| Jun 30, 2022 | 267.11 Mn |
| Mar 31, 2022 | 256.93 Mn |
| Dec 31, 2021 | 255.61 Mn |
| Sep 30, 2021 | 244.38 Mn |
API Access
Resmed Operating 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=operating-expenses&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();