NextPlat (NXPL) Amortization of Deferred Charges (2010 - 2015)
NextPlat's Amortization of Deferred Charges came in at $7,915 for Q4 2015, down 85.8% from the prior quarter.
Analysis
NextPlat (NXPL) Amortization of Deferred Charges (2010 - 2015) Analysis & Trends
For FY2015, NextPlat's Amortization of Deferred Charges was $174,582.
- Amortization of Deferred Charges carries a five-year compound annual growth rate of 55.6% (FY2010 to FY2015).
- Going back by year, Amortization of Deferred Charges was $95,034 in FY2012 and $140,601 in FY2011 (+633.9%).
- The Q4 2015 figure represents the lowest quarterly Amortization of Deferred Charges since Q4 2010.
- Business Quant data shows NXPL's Amortization of Deferred Charges at $55,556 (Q3 2015), $55,556 (Q2 2015) and $55,555 (Q1 2015) in the three quarters before Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | NextPlat | 23.20 Mn | -27.28 Mn | 4.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 7,915.00 |
| Sep 30, 2015 | 55,556.00 |
| Jun 30, 2015 | 55,556.00 |
| Mar 31, 2015 | 55,555.00 |
| Dec 31, 2011 | 21,623.00 |
| Sep 30, 2011 | 22,635.00 |
| Jun 30, 2011 | 50,776.00 |
| Mar 31, 2011 | 45,567.00 |
| Dec 31, 2010 | 6,050.00 |
| Sep 30, 2010 | 6,050.00 |
API Access
NextPlat Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=NXPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=NXPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();