Intuitive Surgical (ISRG) Total Non-Current Liabilities (2009 - 2017)
Intuitive Surgical's Total Non-Current Liabilities was $669.3 million in Q4 2017, up 20.9% from $553.8 million a year earlier and up 8.7% from the prior quarter.
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Analysis
Intuitive Surgical (ISRG) Total Non-Current Liabilities (2009 - 2017) Analysis & Trends
From Q2 2009 onward, Intuitive Surgical has reported Total Non-Current Liabilities for 35 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 10.8% (FY2012 to FY2017).
- In earlier years, Total Non-Current Liabilities was $553.8 million in FY2016 (+12.6%), $491.9 million in FY2015 (-1.9%), $501.2 million in FY2014 (+31.6%) and $380.9 million in FY2013 (-5.2%).
- The Q4 2017 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- Compared with a year earlier, Total Non-Current Liabilities has increased for seven straight quarters, with growth averaging 13.6% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2014 (growth of 31.6%); the worst was Q4 2013 (a decline of 5.2%).
- Per Business Quant data, ISRG's Total Non-Current Liabilities in the three quarters before Q4 2017 was $615.7 million (Q3 2017), $599.8 million (Q2 2017) and $558.2 million (Q1 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 6.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 669.30 Mn |
| Sep 30, 2017 | 615.70 Mn |
| Jun 30, 2017 | 599.80 Mn |
| Mar 31, 2017 | 558.20 Mn |
| Dec 31, 2016 | 553.80 Mn |
| Sep 30, 2016 | 528.10 Mn |
| Jun 30, 2016 | 489.50 Mn |
| Mar 31, 2016 | 452.90 Mn |
| Dec 31, 2015 | 491.90 Mn |
| Sep 30, 2015 | 478.60 Mn |
| Jun 30, 2015 | 474.40 Mn |
| Mar 31, 2015 | 456.90 Mn |
| Dec 31, 2014 | 501.20 Mn |
| Sep 30, 2014 | 480.50 Mn |
| Jun 30, 2014 | 495.90 Mn |
| Mar 31, 2014 | 459.50 Mn |
| Dec 31, 2013 | 380.90 Mn |
| Sep 30, 2013 | 367.30 Mn |
| Jun 30, 2013 | 390.90 Mn |
| Mar 31, 2013 | 377.60 Mn |
API Access
Intuitive Surgical Total 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=total-non-current-liabilities&ticker=ISRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=ISRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();