Netlist (NLST) Notes Payables (2018 - 2025)
Netlist's Notes Payables came in at $400,000 for Q1 2025.
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Analysis
Netlist (NLST) Notes Payables (2018 - 2025) Analysis & Trends
Going back to Q4 2018, Netlist's Notes Payables data covers 10 quarters.
- Notes Payables carries a five-year compound annual growth rate of 1.2% (FY2018 to FY2023).
- Going back by year, Notes Payables was $400,000 in FY2022 (-33.3%), $600,000 in FY2021 and $412,000 in FY2019 (+9.6%).
- The five-year range for quarterly Notes Payables is $200,000 (Q2 2023) to $600,000 (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn |
| 10 | Netlist | 1.88 Bn | 1.79 Bn | 22.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2025 | 400,000.00 |
| Dec 30, 2023 | 400,000.00 |
| Jul 1, 2023 | 200,000.00 |
| Apr 1, 2023 | 300,000.00 |
| Dec 31, 2022 | 400,000.00 |
| Jan 1, 2022 | 600,000.00 |
| Jan 2, 2021 | 17.06 Mn |
| Sep 26, 2020 | 14.70 Mn |
| Jun 27, 2020 | 14.70 Mn |
| Mar 28, 2020 | 285,000.00 |
| Dec 28, 2019 | 412,000.00 |
| Sep 28, 2019 | 997,000.00 |
| Jun 29, 2019 | 127,000.00 |
| Dec 29, 2018 | 376,000.00 |
API Access
Netlist Notes Payables 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=notes-payables&ticker=NLST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=NLST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();