Netlist (NLST) Convertible Debt (2016 - 2020)
Netlist (NLST) reported Convertible Debt of $15.79 million for FY2019, down 9.0% from $17.35 million in FY2018.
Analysis
Netlist (NLST) Convertible Debt (2016 - 2020) Analysis & Trends
Dating back to FY2015, Netlist's Convertible Debt record includes 5 years.
- Convertible Debt has a four-year compound annual growth rate of 3.6% (FY2015 to FY2019).
- Five-year annual Convertible Debt spans a low of $13.74 million in FY2015 and a high of $17.35 million in FY2018.
- According to Business Quant data, Convertible Debt came in at $17.35 million in FY2018 (+17.5%), $14.77 million in FY2017 (+3.6%), $14.25 million in FY2016 (+3.8%) and $13.74 million in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,177.41 Bn | 4,922.87 Bn | 54.82 Bn |
| 2 | Cisco Systems | 377.40 Bn | 377.40 Bn | 11.79 Bn |
| 3 | Arista Networks | 249.38 Bn | 198.58 Bn | 2.33 Bn |
| 4 | Dell Technologies | 220.34 Bn | 176.10 Bn | 9.83 Bn |
| 5 | Sony | 166.48 Bn | 103.89 Bn | 7.96 Bn |
| 6 | Sandisk | 127.44 Bn | 112.27 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 121.35 Bn | 116.20 Bn | 2.43 Bn |
| 8 | Western Digital | 110.67 Bn | 100.50 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 64.15 Bn | 42.09 Bn | 4.93 Bn |
| 10 | Netlist | 1.92 Bn | 1.53 Bn | 68.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2020 | 15.92 Mn |
| Dec 28, 2019 | 15.79 Mn |
| Sep 28, 2019 | 15.67 Mn |
| Mar 30, 2019 | 17.23 Mn |
| Dec 29, 2018 | 17.35 Mn |
| Sep 29, 2018 | 17.08 Mn |
| Jun 30, 2018 | 15.02 Mn |
| Mar 31, 2018 | 14.90 Mn |
| Dec 30, 2017 | 14.77 Mn |
| Sep 30, 2017 | 14.64 Mn |
| Jul 1, 2017 | 14.51 Mn |
| Apr 1, 2017 | 14.38 Mn |
| Dec 31, 2016 | 14.25 Mn |
| Oct 1, 2016 | 14.11 Mn |
| Jan 2, 2016 | 13.74 Mn |
API Access
Netlist Convertible Debt 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=convertible-debt&ticker=NLST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "ticker": "NLST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=convertible-debt&ticker=NLST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();