Resmed (RMD) Interest Expenses (2016 - 2022)
Resmed's Interest Expenses came in at $5.46 million for fiscal Q3 2022 (quarter ended Mar 31, 2022), down 6.2% from $5.82 million a year earlier and down 8.2% from the prior quarter.
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Analysis
Resmed (RMD) Interest Expenses (2016 - 2022) Analysis & Trends
Over the trailing twelve months to Mar 31, 2022, Resmed reported Interest Expenses of $22.42 million, down 18.6% year-over-year; for FY2021 (ended Jun 30, 2021), it came in at $23.99 million, down 40.6% from FY2020.
- Interest Expenses carries a five-year compound annual growth rate of 16.4% (FY2016 to FY2021).
- Going back by fiscal year, Interest Expenses was $40.38 million in FY2020 (+11.7%), $36.16 million in FY2019 (+27.5%), $28.36 million in FY2018 (+0.4%) and $28.24 million in FY2017 (+152.0%).
- The five-year range for quarterly Interest Expenses is $3.71 million (fiscal Q1 2019) to $12.55 million (fiscal Q4 2019).
- Year-over-year, Interest Expenses increased in 1 of the last eight quarters, with an average decline of 26.6%.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q1 2020 (growth of 196.4%), and the weakest in fiscal Q1 2019 (a decline of 52.4%).
- Business Quant data shows RMD's Interest Expenses at $5.95 million (Q2 2022), $5.36 million (Q1 2022) and $5.65 million (Q4 2021) in the three fiscal quarters before Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Resmed | 31.89 Bn | 25.96 Bn | 861.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 5.46 Mn |
| Dec 31, 2021 | 5.95 Mn |
| Sep 30, 2021 | 5.36 Mn |
| Jun 30, 2021 | 5.65 Mn |
| Mar 31, 2021 | 5.82 Mn |
| Dec 31, 2020 | 5.79 Mn |
| Sep 30, 2020 | 6.73 Mn |
| Jun 30, 2020 | 9.20 Mn |
| Mar 31, 2020 | 9.97 Mn |
| Dec 31, 2019 | 10.22 Mn |
| Sep 30, 2019 | 10.99 Mn |
| Jun 30, 2019 | 12.55 Mn |
| Mar 31, 2019 | 12.41 Mn |
| Dec 31, 2018 | 7.49 Mn |
| Sep 30, 2018 | 3.71 Mn |
| Jun 30, 2018 | 5.48 Mn |
| Mar 31, 2018 | 7.72 Mn |
| Dec 31, 2017 | 7.37 Mn |
| Sep 30, 2017 | 7.79 Mn |
| Jun 30, 2017 | 5.91 Mn |
API Access
Resmed Interest Expenses 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=interest-expenses&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();