Netlist (NLST) Other Accumulated Expenses (2023 - 2026)
Netlist's Other Accumulated Expenses was $592,000 in Q2 2026, down 73.9% from $2.27 million a year earlier and down 12.0% from the prior quarter.
Netlist (NLST) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Netlist came in at $818,000, down 69.4% from FY2024.
- In earlier years, Other Accumulated Expenses was $2.68 million in FY2024 (+4.1%) and $2.57 million in FY2023.
- The Q2 2026 figure marks the lowest quarterly Other Accumulated Expenses in data going back to Q4 2023.
- Compared with a year earlier, Other Accumulated Expenses has declined for three straight quarters, with an average decline of 52.9% over the last four quarters.
- Per Business Quant data, NLST's Other Accumulated Expenses in the three quarters before Q2 2026 was $673,000 (Q1 2026), $818,000 (Q4 2025) and $861,000 (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 27, 2026 | 592,000.00 |
| Mar 28, 2026 | 673,000.00 |
| Dec 27, 2025 | 818,000.00 |
| Sep 27, 2025 | 861,000.00 |
| Jun 28, 2025 | 2.27 Mn |
| Mar 29, 2025 | 2.42 Mn |
| Dec 28, 2024 | 2.68 Mn |
| Dec 30, 2023 | 2.57 Mn |
Netlist Other Accumulated 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=other-accumulated-expenses&ticker=NLST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=NLST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();