Netlist (NLST) Total Current Liabilities (2009 - 2026)
Netlist's Total Current Liabilities was $151.52 million in Q3 2026, up 118.3% from $69.42 million a year earlier and up 207.3% from the prior quarter.
Netlist (NLST) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Netlist came in at $54.64 million, up 16.1% from FY2024.
- Total Current Liabilities shows a four-year compound annual growth rate of 11.5% (FY2021 to FY2025).
- In earlier years, Total Current Liabilities was $47.06 million in FY2024 (-1.1%), $47.59 million in FY2023 (+25.0%), $38.07 million in FY2022 (+7.6%) and $35.39 million in FY2021.
- The Q3 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Current Liabilities has increased for five straight quarters, with growth averaging 28.7% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2024 (growth of 129.9%); the worst was Q2 2023 (a decline of 52.1%).
- Per Business Quant data, NLST's Total Current Liabilities in the three quarters before Q3 2026 was $49.31 million (Q2 2026), $76.26 million (Q1 2026) and $54.64 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,177.41 Bn | 4,922.87 Bn | 54.82 Bn | 169.92 Bn |
| 2 | Cisco Systems | 377.40 Bn | 377.40 Bn | 11.79 Bn | 39.46 Bn |
| 3 | Arista Networks | 249.38 Bn | 198.58 Bn | 2.33 Bn | 6.72 Bn |
| 4 | Dell Technologies | 220.34 Bn | 176.10 Bn | 9.83 Bn | 83.70 Bn |
| 5 | Sony | 166.48 Bn | 103.89 Bn | 7.96 Bn | 32.43 Bn |
| 6 | Sandisk | 127.44 Bn | 112.27 Bn | 9.38 Bn | 5.95 Bn |
| 7 | Seagate Technology Holdings | 121.35 Bn | 116.20 Bn | 2.43 Bn | 2.97 Bn |
| 8 | Western Digital | 110.67 Bn | 100.50 Bn | 2.53 Bn | 4.09 Bn |
| 9 | Hewlett Packard Enterprise | 64.15 Bn | 42.09 Bn | 4.93 Bn | 30.44 Bn |
| 10 | Netlist | 1.92 Bn | 1.53 Bn | 68.86 Mn | 151.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 151.52 Mn |
| Jun 27, 2026 | 49.31 Mn |
| Mar 28, 2026 | 76.26 Mn |
| Dec 27, 2025 | 54.64 Mn |
| Sep 27, 2025 | 69.42 Mn |
| Jun 28, 2025 | 48.01 Mn |
| Mar 29, 2025 | 45.53 Mn |
| Dec 28, 2024 | 47.06 Mn |
| Sep 28, 2024 | 45.66 Mn |
| Jun 29, 2024 | 54.45 Mn |
| Mar 30, 2024 | 52.94 Mn |
| Dec 30, 2023 | 47.59 Mn |
| Sep 30, 2023 | 30.54 Mn |
| Jul 1, 2023 | 23.69 Mn |
| Apr 1, 2023 | 30.57 Mn |
| Dec 31, 2022 | 38.07 Mn |
| Oct 1, 2022 | 36.20 Mn |
| Jul 2, 2022 | 49.43 Mn |
| Apr 2, 2022 | 36.13 Mn |
| Jan 1, 2022 | 35.39 Mn |
Netlist Total Current 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-current-liabilities&ticker=NLST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=NLST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();