Microbot Medical (MBOT) Total Non-Current Liabilities (2010 - 2018)
Microbot Medical's Total Non-Current Liabilities came in at $8,000 for Q4 2018, down 71.4% from $28,000 a year earlier and down 99.2% from the prior quarter.
Powered by 
Analysis
Microbot Medical (MBOT) Total Non-Current Liabilities (2010 - 2018) Analysis & Trends
Going back to Q4 2010, Microbot Medical's Total Non-Current Liabilities data covers 32 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -80.0% (FY2013 to FY2018).
- Going back by year, Total Non-Current Liabilities was $28,000 in FY2017 (-92.8%), $389,000 in FY2016 and -$1.03 million in FY2015.
- The Q4 2018 figure represents the lowest quarterly Total Non-Current Liabilities since Q4 2015.
- Year-over-year, Total Non-Current Liabilities increased in 1 of the last eight quarters, with an average decline of 58.6%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2014 (growth of 108.3%), and the weakest in Q1 2017 (a decline of 93.5%).
- Business Quant data shows MBOT's Total Non-Current Liabilities at $1.05 million (Q3 2018), $1.07 million (Q2 2018) and $953,000 (Q1 2018) in the three quarters before Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Microbot Medical | 83.95 Mn | 83.95 Mn | 2,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 8,000.00 |
| Sep 30, 2018 | 1.05 Mn |
| Jun 30, 2018 | 1.07 Mn |
| Mar 31, 2018 | 953,000.00 |
| Dec 31, 2017 | 28,000.00 |
| Sep 30, 2017 | 1.01 Mn |
| Jun 30, 2017 | 1.27 Mn |
| Mar 31, 2017 | 1.48 Mn |
| Dec 31, 2016 | 389,000.00 |
| Sep 30, 2016 | 4.14 Mn |
| Jun 30, 2016 | 11.09 Mn |
| Mar 31, 2016 | 22.68 Mn |
| Dec 31, 2015 | -1.03 Mn |
| Sep 30, 2015 | 19.62 Mn |
| Jun 30, 2015 | 20.04 Mn |
| Mar 31, 2015 | 21.88 Mn |
| Dec 31, 2014 | 29.84 Mn |
| Sep 30, 2014 | 25.27 Mn |
| Jun 30, 2014 | 29.13 Mn |
| Mar 31, 2014 | 27.39 Mn |
API Access
Microbot Medical 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=MBOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "MBOT", "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=MBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();