NextPlat (NXPL) Other Non-Current Liabilities (2010 - 2019)
NextPlat (NXPL) recorded Other Non-Current Liabilities of $101,925 in Q1 2019.
Analysis
NextPlat (NXPL) Other Non-Current Liabilities (2010 - 2019) Analysis & Trends
At the end of FY2017, NextPlat reported Other Non-Current Liabilities of $1,237, unchanged from FY2016.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of -52.4% (FY2012 to FY2017).
- Across earlier years, Other Non-Current Liabilities came in at $1,237 in FY2016 (-99.6%) and $307,018 in FY2015.
- The Q1 2019 figure is the highest quarterly Other Non-Current Liabilities since Q1 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | NextPlat | 23.55 Mn | -26.93 Mn | 4.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 101,925.00 |
| Dec 31, 2017 | 1,237.00 |
| Mar 31, 2017 | 123.00 |
| Dec 31, 2016 | 1,237.00 |
| Sep 30, 2016 | 1,540.00 |
| Jun 30, 2016 | 2,484.00 |
| Mar 31, 2016 | 109,328.00 |
| Dec 31, 2015 | 307,018.00 |
| Dec 31, 2012 | 50,888.00 |
| Sep 30, 2012 | 156,474.00 |
| Jun 30, 2012 | 166,893.00 |
| Sep 30, 2011 | 6.92 Mn |
| Jun 30, 2011 | 15.06 Mn |
| Dec 31, 2010 | 6.71 Mn |
API Access
NextPlat 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=NXPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "NXPL", "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=NXPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();