Resmed (RMD) Intangibles (2010 - 2026)
Resmed's Intangibles was $452.74 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.6% from $464.86 million a year earlier but up 6.5% from the prior quarter.
Resmed (RMD) Intangibles (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Resmed has reported Intangibles for 48 quarters.
- Intangibles has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- In earlier fiscal years, Intangibles was $464.86 million in FY2025 (-4.3%), $485.9 million in FY2024 (-12.0%), $552.34 million in FY2023 (+59.7%) and $345.94 million in FY2022 (-11.9%).
- Quarterly Intangibles has moved between $338.15 million (fiscal Q1 2023) and $586.86 million (fiscal Q2 2023) over five years.
- Compared with a year earlier, Intangibles has declined for 11 straight quarters, with an average decline of 7.8% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was fiscal Q1 2024 (growth of 66.6%); the worst was fiscal Q2 2025 (a decline of 17.1%).
- Per Business Quant data, RMD's Intangibles in the three fiscal quarters before Q4 2026 was $425.19 million (Q3 2026), $430.24 million (Q2 2026) and $447.07 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 448.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.38 Bn |
| 10 | Resmed | 35.85 Bn | 29.92 Bn | 861.22 Mn | 452.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 452.74 Mn |
| Mar 31, 2026 | 425.19 Mn |
| Dec 31, 2025 | 430.24 Mn |
| Sep 30, 2025 | 447.07 Mn |
| Jun 30, 2025 | 464.86 Mn |
| Mar 31, 2025 | 430.11 Mn |
| Dec 31, 2024 | 438.00 Mn |
| Sep 30, 2024 | 478.61 Mn |
| Jun 30, 2024 | 485.90 Mn |
| Mar 31, 2024 | 501.02 Mn |
| Dec 31, 2023 | 528.18 Mn |
| Sep 30, 2023 | 563.28 Mn |
| Jun 30, 2023 | 552.34 Mn |
| Mar 31, 2023 | 569.68 Mn |
| Dec 31, 2022 | 586.86 Mn |
| Sep 30, 2022 | 338.15 Mn |
| Jun 30, 2022 | 345.94 Mn |
| Mar 31, 2022 | 355.98 Mn |
| Dec 31, 2021 | 372.01 Mn |
| Sep 30, 2021 | 375.40 Mn |
Resmed Intangibles 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=intangibles&ticker=RMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();