Resmed (RMD) Tax Provisions (2009 - 2026)
Resmed's Tax Provisions came in at $90.73 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 15.8% from $78.35 million a year earlier but down 12.4% from the prior quarter.
Resmed (RMD) Tax Provisions (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Resmed's Tax Provisions was $396.12 million, up 43.1% from FY2025.
- Tax Provisions has increased in each of the last four fiscal years, though with a five-year compound annual growth rate of -0.6% (FY2021 to FY2026).
- Going back by fiscal year, Tax Provisions was $276.84 million in FY2025 (+13.5%), $243.85 million in FY2024 (+19.5%), $204.11 million in FY2023 (+12.7%) and $181.05 million in FY2022 (-55.8%).
- The five-year range for quarterly Tax Provisions is $35.54 million (fiscal Q2 2022) to $103.58 million (fiscal Q3 2026).
- Year-over-year, Tax Provisions has increased for five consecutive quarters, with growth averaging 32.7% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q3 2026 (growth of 96.7%), and the weakest in fiscal Q3 2022 (a decline of 84.0%).
- Business Quant data shows RMD's Tax Provisions at $103.58 million (Q3 2026), $103.56 million (Q2 2026) and $98.26 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 278.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 102.00 Mn |
| 10 | Resmed | 31.89 Bn | 25.96 Bn | 861.22 Mn | 90.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.73 Mn |
| Mar 31, 2026 | 103.58 Mn |
| Dec 31, 2025 | 103.56 Mn |
| Sep 30, 2025 | 98.26 Mn |
| Jun 30, 2025 | 78.35 Mn |
| Mar 31, 2025 | 52.65 Mn |
| Dec 31, 2024 | 73.70 Mn |
| Sep 30, 2024 | 72.14 Mn |
| Jun 30, 2024 | 65.50 Mn |
| Mar 31, 2024 | 74.93 Mn |
| Dec 31, 2023 | 50.65 Mn |
| Sep 30, 2023 | 52.77 Mn |
| Jun 30, 2023 | 47.14 Mn |
| Mar 31, 2023 | 56.88 Mn |
| Dec 31, 2022 | 48.78 Mn |
| Sep 30, 2022 | 51.32 Mn |
| Jun 30, 2022 | 43.03 Mn |
| Mar 31, 2022 | 47.31 Mn |
| Dec 31, 2021 | 35.54 Mn |
| Sep 30, 2021 | 55.18 Mn |
Resmed Tax Provisions 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=tax-provisions&ticker=RMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();