Netlist (NLST) Non Operating Interest Expenses (2014 - 2018)
Netlist (NLST) recorded Non Operating Interest Expenses of -$143,000 in Q4 2018, compared with -$150,000 a year earlier.
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Analysis
Netlist (NLST) Non Operating Interest Expenses (2014 - 2018) Analysis & Trends
On a TTM basis, Netlist's Non Operating Interest Expenses came in at -$564,000 as of Dec 29, 2018.
- Quarterly Non Operating Interest Expenses has ranged from -$393,000 in Q4 2015 to -$88,000 in Q2 2014 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$135,000 (Q3 2018), -$138,000 (Q2 2018) and -$148,000 (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 368.00 Mn |
| 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 | 128.37 Mn |
| 6 | Sandisk | 127.44 Bn | 112.27 Bn | 9.38 Bn | 2.00 Mn |
| 7 | Seagate Technology Holdings | 121.35 Bn | 116.20 Bn | 2.43 Bn | 41.00 Mn |
| 8 | Western Digital | 110.67 Bn | 100.50 Bn | 2.53 Bn | 11.00 Mn |
| 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 |
|---|---|
| Dec 29, 2018 | -143,000.00 |
| Sep 29, 2018 | -135,000.00 |
| Jun 30, 2018 | -138,000.00 |
| Mar 31, 2018 | -148,000.00 |
| Dec 30, 2017 | -150,000.00 |
| Sep 30, 2017 | -159,000.00 |
| Jul 1, 2017 | -132,000.00 |
| Apr 1, 2017 | -137,000.00 |
| Jan 2, 2016 | -393,000.00 |
| Sep 26, 2015 | -393,000.00 |
| Jun 27, 2015 | -393,000.00 |
| Mar 28, 2015 | -395,000.00 |
| Dec 27, 2014 | -390,000.00 |
| Sep 27, 2014 | -324,000.00 |
| Jun 28, 2014 | -88,000.00 |
| Mar 29, 2014 | -130,000.00 |
API Access
Netlist Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=NLST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=NLST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();