Netlist (NLST) Operating Expenses (2009 - 2026)
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Analysis
Netlist (NLST) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,177.41 Bn | 4,922.87 Bn | 54.82 Bn | 19.19 Bn |
| 2 | Cisco Systems | 377.40 Bn | 377.40 Bn | 11.79 Bn | 6.19 Bn |
| 3 | Arista Networks | 249.38 Bn | 198.58 Bn | 2.33 Bn | 683.30 Mn |
| 4 | Dell Technologies | 220.34 Bn | 176.10 Bn | 9.83 Bn | 4.45 Bn |
| 5 | Sony | 166.48 Bn | 103.89 Bn | 7.96 Bn | 17.49 Bn |
| 6 | Sandisk | 127.44 Bn | 112.27 Bn | 9.38 Bn | 598.00 Mn |
| 7 | Seagate Technology Holdings | 121.35 Bn | 116.20 Bn | 2.43 Bn | 2.17 Bn |
| 8 | Western Digital | 110.67 Bn | 100.50 Bn | 2.53 Bn | 488.00 Mn |
| 9 | Hewlett Packard Enterprise | 64.15 Bn | 42.09 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Netlist | 1.92 Bn | 1.53 Bn | 68.86 Mn | 28.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 28.29 Mn |
| Jun 27, 2026 | 21.54 Mn |
| Mar 28, 2026 | 13.82 Mn |
| Dec 27, 2025 | 9.26 Mn |
| Sep 27, 2025 | 8.99 Mn |
| Jun 28, 2025 | 7.64 Mn |
| Mar 29, 2025 | 11.07 Mn |
| Dec 28, 2024 | 13.37 Mn |
| Sep 28, 2024 | 10.80 Mn |
| Jun 29, 2024 | 15.85 Mn |
| Mar 30, 2024 | 18.10 Mn |
| Dec 30, 2023 | 14.90 Mn |
| Sep 30, 2023 | 18.32 Mn |
| Jul 1, 2023 | 14.53 Mn |
| Apr 1, 2023 | 16.40 Mn |
| Dec 31, 2022 | 14.57 Mn |
| Oct 1, 2022 | 11.89 Mn |
| Jul 2, 2022 | 9.71 Mn |
| Apr 2, 2022 | 9.22 Mn |
| Jan 1, 2022 | 27.18 Mn |
API Access
Netlist Operating 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=operating-expenses&ticker=NLST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NLST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();