Netlist (NLST) Total Liabilities (2009 - 2026)
Netlist (NLST) reported Total Liabilities of $331.89 million for Q3 2026, up 376.6% from $69.64 million a year earlier and up 562.1% from the prior quarter.
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Analysis
Netlist (NLST) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Netlist posted Total Liabilities of $54.68 million, up 14.2% from FY2024.
- Total Liabilities has a four-year compound annual growth rate of 10.2% (FY2021 to FY2025).
- By year, Total Liabilities came in at $47.89 million in FY2024 (-2.4%), $49.04 million in FY2023 (+22.3%), $40.09 million in FY2022 (+8.0%) and $37.13 million in FY2021.
- The Q3 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year over year, Total Liabilities has now increased in each of the last five quarters, with growth averaging 60.1% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2026 (growth of 376.6%); the low point was Q2 2023 (a decline of 51.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $50.13 million (Q2 2026), $77.16 million (Q1 2026) and $54.68 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,177.41 Bn | 4,922.87 Bn | 54.82 Bn | 292.46 Bn |
| 2 | Cisco Systems | 377.40 Bn | 377.40 Bn | 11.79 Bn | 77.85 Bn |
| 3 | Arista Networks | 249.38 Bn | 198.58 Bn | 2.33 Bn | 8.82 Bn |
| 4 | Dell Technologies | 220.34 Bn | 176.10 Bn | 9.83 Bn | 128.82 Bn |
| 5 | Sony | 166.48 Bn | 103.89 Bn | 7.96 Bn | 48.69 Bn |
| 6 | Sandisk | 127.44 Bn | 112.27 Bn | 9.38 Bn | 7.66 Bn |
| 7 | Seagate Technology Holdings | 121.35 Bn | 116.20 Bn | 2.43 Bn | 6.87 Bn |
| 8 | Western Digital | 110.67 Bn | 100.50 Bn | 2.53 Bn | 4.89 Bn |
| 9 | Hewlett Packard Enterprise | 64.15 Bn | 42.09 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Netlist | 1.92 Bn | 1.53 Bn | 68.86 Mn | 331.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 331.89 Mn |
| Jun 27, 2026 | 50.13 Mn |
| Mar 28, 2026 | 77.16 Mn |
| Dec 27, 2025 | 54.68 Mn |
| Sep 27, 2025 | 69.64 Mn |
| Jun 28, 2025 | 48.40 Mn |
| Mar 29, 2025 | 46.10 Mn |
| Dec 28, 2024 | 47.89 Mn |
| Sep 28, 2024 | 46.63 Mn |
| Jun 29, 2024 | 55.74 Mn |
| Mar 30, 2024 | 54.27 Mn |
| Dec 30, 2023 | 49.04 Mn |
| Sep 30, 2023 | 32.10 Mn |
| Jul 1, 2023 | 25.36 Mn |
| Apr 1, 2023 | 32.40 Mn |
| Dec 31, 2022 | 40.09 Mn |
| Oct 1, 2022 | 38.36 Mn |
| Jul 2, 2022 | 51.72 Mn |
| Apr 2, 2022 | 38.31 Mn |
| Jan 1, 2022 | 37.13 Mn |
API Access
Netlist Total Liabilities 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=total-liabilities&ticker=NLST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NLST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();