Resmed (RMD) Cash & Equivalents (2009 - 2026)
Resmed's Cash & Equivalents came in at $1.47 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 21.5% from $1.21 billion a year earlier but down 11.5% from the prior quarter.
Resmed (RMD) Cash & Equivalents (2009 - 2026) Analysis & Trends
Going back to fiscal Q1 2010, Resmed's Cash & Equivalents data covers 68 quarters.
- Cash & Equivalents has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 37.8% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $1.21 billion in FY2025 (+407.4%), $238.36 million in FY2024 (+4.6%), $227.89 million in FY2023 (-16.7%) and $273.71 million in FY2022 (-7.3%).
- The five-year range for quarterly Cash & Equivalents is $194.48 million (fiscal Q2 2022) to $1.66 billion (fiscal Q3 2026).
- Year-over-year, Cash & Equivalents has increased for ten consecutive quarters, with growth averaging 180.9% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2025 (growth of 407.4%), and the weakest in fiscal Q1 2022 (a decline of 34.5%).
- Business Quant data shows RMD's Cash & Equivalents at $1.66 billion (Q3 2026), $1.42 billion (Q2 2026) and $1.38 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.22 Bn | 227.25 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 178.33 Bn | 148.76 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 159.74 Bn | 143.54 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 158.45 Bn | 138.74 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 122.77 Bn | 88.02 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 118.25 Bn | 104.37 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Becton Dickinson | 54.49 Bn | 51.64 Bn | 2.32 Bn | 708.00 Mn |
| 9 | Edwards Lifesciences | 51.67 Bn | 35.68 Bn | 1.35 Bn | 2.91 Bn |
| 10 | Resmed | 36.93 Bn | 31.00 Bn | 861.22 Mn | 1.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.47 Bn |
| Mar 31, 2026 | 1.66 Bn |
| Dec 31, 2025 | 1.42 Bn |
| Sep 30, 2025 | 1.38 Bn |
| Jun 30, 2025 | 1.21 Bn |
| Mar 31, 2025 | 932.71 Mn |
| Dec 31, 2024 | 521.94 Mn |
| Sep 30, 2024 | 426.36 Mn |
| Jun 30, 2024 | 238.36 Mn |
| Mar 31, 2024 | 237.91 Mn |
| Dec 31, 2023 | 210.25 Mn |
| Sep 30, 2023 | 209.10 Mn |
| Jun 30, 2023 | 227.89 Mn |
| Mar 31, 2023 | 227.89 Mn |
| Dec 31, 2022 | 253.20 Mn |
| Sep 30, 2022 | 207.16 Mn |
| Jun 30, 2022 | 273.71 Mn |
| Mar 31, 2022 | 201.77 Mn |
| Dec 31, 2021 | 194.48 Mn |
| Sep 30, 2021 | 276.15 Mn |
Resmed Cash & Equivalents 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=cash-and-equivalents&ticker=RMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();