Intuitive Surgical (ISRG) Other Non-Current Liabilities (2009 - 2017)
Intuitive Surgical's Other Non-Current Liabilities came in at $327.1 million for Q4 2017, up 190.5% from $112.6 million a year earlier and up 374.1% from the prior quarter.
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Analysis
Intuitive Surgical (ISRG) Other Non-Current Liabilities (2009 - 2017) Analysis & Trends
Going back to Q4 2009, Intuitive Surgical's Other Non-Current Liabilities data covers 33 quarters.
- Other Non-Current Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 33.4% (FY2012 to FY2017).
- Going back by year, Other Non-Current Liabilities was $112.6 million in FY2016 (+17.4%), $95.9 million in FY2015 (+21.7%), $78.8 million in FY2014 (+15.9%) and $68 million in FY2013 (-12.3%).
- The Q4 2017 figure represents the highest quarterly Other Non-Current Liabilities in data going back to Q4 2009.
- Year-over-year, Other Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 34.6%.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q4 2017 (growth of 190.5%), and the weakest in Q3 2017 (a decline of 34.2%).
- Business Quant data shows ISRG's Other Non-Current Liabilities at $69 million (Q3 2017), $128.7 million (Q2 2017) and $122.3 million (Q1 2017) in the three quarters before Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 327.10 Mn |
| Sep 30, 2017 | 69.00 Mn |
| Jun 30, 2017 | 128.70 Mn |
| Mar 31, 2017 | 122.30 Mn |
| Dec 31, 2016 | 112.60 Mn |
| Sep 30, 2016 | 104.80 Mn |
| Jun 30, 2016 | 109.80 Mn |
| Mar 31, 2016 | 103.00 Mn |
| Dec 31, 2015 | 95.90 Mn |
| Sep 30, 2015 | 88.50 Mn |
| Jun 30, 2015 | 87.40 Mn |
| Mar 31, 2015 | 83.90 Mn |
| Dec 31, 2014 | 78.80 Mn |
| Sep 30, 2014 | 86.80 Mn |
| Jun 30, 2014 | 86.30 Mn |
| Mar 31, 2014 | 78.10 Mn |
| Dec 31, 2013 | 68.00 Mn |
| Sep 30, 2013 | 65.80 Mn |
| Jun 30, 2013 | 91.60 Mn |
| Mar 31, 2013 | 86.00 Mn |
API Access
Intuitive Surgical Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=ISRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "ISRG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=ISRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();