Resmed (RMD) Restructuring Costs (2015 - 2025)
Resmed's Restructuring Costs was $21.75 million in FY2026 (year ended Jun 30, 2026).
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Analysis
Resmed (RMD) Restructuring Costs (2015 - 2025) Analysis & Trends
From FY2014 onward, Resmed has reported Restructuring Costs for 10 fiscal years.
- Restructuring Costs shows a five-year compound annual growth rate of 20.2% (FY2021 to FY2026).
- The FY2026 figure marks the lowest annual Restructuring Costs since FY2023.
- Per Business Quant data, Restructuring Costs in earlier fiscal years was $64.23 million in FY2024 (+486.6%), $10.95 million in FY2023 (+476.3%) and $1.9 million in FY2022 (-78.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Resmed | 35.85 Bn | 29.92 Bn | 861.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.94 Mn |
| Sep 30, 2025 | 15.81 Mn |
| Dec 31, 2023 | 64.23 Mn |
| Jun 30, 2023 | 1.79 Mn |
| Dec 31, 2022 | 8.41 Mn |
| Jun 30, 2022 | 1.90 Mn |
| Dec 31, 2020 | 8.67 Mn |
| Jun 30, 2019 | 3.28 Mn |
| Dec 31, 2018 | 6.12 Mn |
| Jun 30, 2018 | 7.51 Mn |
| Mar 31, 2018 | 10.92 Mn |
| Mar 31, 2017 | 7.95 Mn |
| Dec 31, 2016 | 10.08 Mn |
| Dec 31, 2015 | 6.91 Mn |
API Access
Resmed Restructuring Costs 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=restructuring-costs&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();