Resmed (RMD) Non-Current Debt (2011 - 2017)
Resmed (RMD) recorded Non-Current Debt of $1.02 billion in fiscal Q1 2018 (quarter ended Sep 30, 2017), up 16.6% from $873.51 million a year earlier but down 5.5% from the prior quarter.
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Analysis
Resmed (RMD) Non-Current Debt (2011 - 2017) Analysis & Trends
At the end of FY2017 (ended Jun 30, 2017), Resmed reported Non-Current Debt of $1.08 billion, up 23.5% from FY2016.
- Annual Non-Current Debt has a five-year compound annual growth rate of 33.9% (FY2012 to FY2017).
- Across earlier fiscal years, Non-Current Debt came in at $873.33 million in FY2016 (+190.5%), $300.59 million in FY2015 (-0.1%), $300.77 million in FY2014 and $769,000 in FY2013 (-99.7%).
- Quarterly Non-Current Debt has ranged from $766,000 in fiscal Q3 2013 to $1.17 billion in fiscal Q3 2017 over the past five years.
- On a year-over-year basis, Non-Current Debt has increased for six consecutive quarters, with growth averaging 71.7% over the last eight quarters.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 190.5% in fiscal Q4 2016, against a decline of 99.7% in fiscal Q1 2014 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.08 billion (Q4 2017), $1.17 billion (Q3 2017) and $868.69 million (Q2 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 13.51 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Resmed | 32.04 Bn | 26.11 Bn | 861.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 1.02 Bn |
| Jun 30, 2017 | 1.08 Bn |
| Mar 31, 2017 | 1.17 Bn |
| Dec 31, 2016 | 868.69 Mn |
| Sep 30, 2016 | 873.51 Mn |
| Jun 30, 2016 | 873.33 Mn |
| Mar 31, 2016 | 435.61 Mn |
| Dec 31, 2015 | 400.59 Mn |
| Sep 30, 2015 | 500.59 Mn |
| Jun 30, 2015 | 300.59 Mn |
| Mar 31, 2015 | 460.58 Mn |
| Dec 31, 2014 | 449.66 Mn |
| Sep 30, 2014 | 375.70 Mn |
| Jun 30, 2014 | 300.77 Mn |
| Mar 31, 2014 | 395.79 Mn |
| Dec 31, 2013 | 435.79 Mn |
| Sep 30, 2013 | 790,000.00 |
| Jun 30, 2013 | 769,000.00 |
| Mar 31, 2013 | 766,000.00 |
| Dec 31, 2012 | 300.80 Mn |
API Access
Resmed Non-Current Debt 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=non-current-debt&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();