Resmed (RMD) EBITDA (2009 - 2026)
Resmed (RMD) reported EBITDA of $493.49 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 4.8% from $518.17 million a year earlier and down 11.7% from the prior quarter.
Resmed (RMD) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Resmed posted EBITDA of $2.09 billion, up 10.8% from FY2025.
- EBITDA has increased for 17 consecutive fiscal years, with a five-year compound annual growth rate of 14.5% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $1.88 billion in FY2025 (+25.9%), $1.5 billion in FY2024 (+15.4%), $1.3 billion in FY2023 (+11.8%) and $1.16 billion in FY2022 (+9.4%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly EBITDA since fiscal Q3 2025.
- Year over year, EBITDA gained in seven of the last eight quarters, with growth averaging 19.3%.
- The high point for year-over-year EBITDA in five years was fiscal Q2 2025 (growth of 45.0%); the low point was fiscal Q4 2026 (a decline of 4.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $558.79 million (Q3 2026), $541.55 million (Q2 2026) and $494.24 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Resmed | 32.04 Bn | 26.11 Bn | 861.22 Mn | 493.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 493.49 Mn |
| Mar 31, 2026 | 558.79 Mn |
| Dec 31, 2025 | 541.55 Mn |
| Sep 30, 2025 | 494.24 Mn |
| Jun 30, 2025 | 518.17 Mn |
| Mar 31, 2025 | 469.94 Mn |
| Dec 31, 2024 | 463.68 Mn |
| Sep 30, 2024 | 432.04 Mn |
| Jun 30, 2024 | 424.89 Mn |
| Mar 31, 2024 | 418.06 Mn |
| Dec 31, 2023 | 319.88 Mn |
| Sep 30, 2023 | 333.93 Mn |
| Jun 30, 2023 | 322.03 Mn |
| Mar 31, 2023 | 345.03 Mn |
| Dec 31, 2022 | 317.96 Mn |
| Sep 30, 2022 | 312.01 Mn |
| Jun 30, 2022 | 292.81 Mn |
| Mar 31, 2022 | 276.57 Mn |
| Dec 31, 2021 | 289.50 Mn |
| Sep 30, 2021 | 301.02 Mn |
Resmed EBITDA 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=ebitda&ticker=RMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();