Resmed (RMD) EPS (Diluted) (2009 - 2026)
Resmed's EPS (Diluted) came in at $2.86 for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 20.7% from $2.37 a year earlier and up 9.1% from the prior quarter.
Resmed (RMD) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Resmed reported EPS (Diluted) of $10.91, up 11.4% year-over-year; for FY2026 (ended Jun 30, 2026), it was $10.43, up 9.7% from FY2025.
- EPS (Diluted) has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 26.3% (FY2021 to FY2026).
- Going back by fiscal year, EPS (Diluted) was $9.51 in FY2025 (+37.4%), $6.92 in FY2024 (+13.7%), $6.09 in FY2023 (+14.8%) and $5.30 in FY2022 (+63.6%).
- The fiscal Q1 2027 figure represents the highest quarterly EPS (Diluted) in data going back to fiscal Q1 2010.
- Year-over-year, EPS (Diluted) has increased for 11 consecutive quarters, with growth averaging 22.1% over the last eight quarters.
- The fastest year-over-year change in EPS (Diluted) over five years came in fiscal Q2 2025 (growth of 65.1%), and the weakest in fiscal Q2 2024 (a decline of 7.3%).
- Business Quant data shows RMD's EPS (Diluted) at $2.63 (Q4 2026), $2.74 (Q3 2026) and $2.68 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 4.64 |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 0.53 |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 1.75 |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 1.49 |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 1.96 |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 0.40 |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 0.53 |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 1.37 |
| 10 | Resmed | 33.31 Bn | 27.76 Bn | 870.57 Mn | 2.92 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.92 |
| Jun 30, 2026 | 2.63 |
| Mar 31, 2026 | 2.74 |
| Dec 31, 2025 | 2.68 |
| Sep 30, 2025 | 2.37 |
| Jun 30, 2025 | 2.58 |
| Mar 31, 2025 | 2.48 |
| Dec 31, 2024 | 2.34 |
| Sep 30, 2024 | 2.11 |
| Jun 30, 2024 | 1.98 |
| Mar 31, 2024 | 2.04 |
| Dec 31, 2023 | 1.42 |
| Sep 30, 2023 | 1.49 |
| Jun 30, 2023 | 1.56 |
| Mar 31, 2023 | 1.58 |
| Dec 31, 2022 | 1.53 |
| Sep 30, 2022 | 1.43 |
| Jun 30, 2022 | 1.33 |
| Mar 31, 2022 | 1.22 |
| Dec 31, 2021 | 1.37 |
Resmed EPS (Diluted) 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=eps-diluted&ticker=RMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();