Pulse Biosciences (PLSE) Other Non-Current Liabilities (2017 - 2018)
Pulse Biosciences (PLSE) reported Other Non-Current Liabilities of $1.2 million for Q4 2018, down 25.7% from $1.61 million a year earlier and down 8.1% from the prior quarter.
Pulse Biosciences (PLSE) Other Non-Current Liabilities (2017 - 2018) Analysis & Trends
Dating back to Q2 2017, Pulse Biosciences' Other Non-Current Liabilities record includes 7 quarters.
- By year, Other Non-Current Liabilities came in at $1.61 million in FY2017.
- Year over year, Other Non-Current Liabilities has now declined in each of the last three quarters.
- Per Business Quant data, the three quarters before Q4 2018 came in at $1.3 million (Q3 2018), $1.41 million (Q2 2018) and $1.51 million (Q1 2018).
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 | Pulse Biosciences | 3.53 Bn | 3.53 Bn | 161,000.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 1.20 Mn |
| Sep 30, 2018 | 1.30 Mn |
| Jun 30, 2018 | 1.41 Mn |
| Mar 31, 2018 | 1.51 Mn |
| Dec 31, 2017 | 1.61 Mn |
| Sep 30, 2017 | 1.72 Mn |
| Jun 30, 2017 | 1.82 Mn |
Pulse Biosciences 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=PLSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "PLSE", "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=PLSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();