Resmed (RMD) Research & Development (2009 - 2026)
Resmed (RMD) posted Research & Development of $105.73 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 22.3% from $86.44 million a year earlier and up 12.2% from the prior quarter.
Resmed (RMD) Research & Development (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Resmed's Research & Development came in at $378.29 million, up 14.2% from FY2025.
- Annual Research & Development has increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 10.9% (FY2021 to FY2026).
- In prior fiscal years, Resmed's Research & Development was $331.28 million in FY2025 (+7.7%), $307.53 million in FY2024 (+6.9%), $287.64 million in FY2023 (+13.4%) and $253.58 million in FY2022 (+12.6%).
- The fiscal Q4 2026 figure stands as the highest quarterly Research & Development in data going back to fiscal Q1 2010.
- On a year-over-year basis, Research & Development has increased in each of the last 42 quarters, with growth averaging 10.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Research & Development ranged from 0.8% (fiscal Q3 2024) to 22.3% (fiscal Q4 2026).
- According to Business Quant data, Research & Development for the three prior fiscal quarters was $94.27 million (Q3 2026), $90.97 million (Q2 2026) and $87.32 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 258.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 278.90 Mn |
| 10 | Resmed | 32.04 Bn | 26.11 Bn | 861.22 Mn | 105.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.73 Mn |
| Mar 31, 2026 | 94.27 Mn |
| Dec 31, 2025 | 90.97 Mn |
| Sep 30, 2025 | 87.32 Mn |
| Jun 30, 2025 | 86.44 Mn |
| Mar 31, 2025 | 83.94 Mn |
| Dec 31, 2024 | 81.37 Mn |
| Sep 30, 2024 | 79.52 Mn |
| Jun 30, 2024 | 80.86 Mn |
| Mar 31, 2024 | 77.07 Mn |
| Dec 31, 2023 | 73.88 Mn |
| Sep 30, 2023 | 75.71 Mn |
| Jun 30, 2023 | 78.14 Mn |
| Mar 31, 2023 | 76.44 Mn |
| Dec 31, 2022 | 69.87 Mn |
| Sep 30, 2022 | 63.19 Mn |
| Jun 30, 2022 | 64.32 Mn |
| Mar 31, 2022 | 66.80 Mn |
| Dec 31, 2021 | 62.51 Mn |
| Sep 30, 2021 | 59.95 Mn |
Resmed Research & Development 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=research-and-development&ticker=RMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();