Netlist (NLST) Shares Outstanding (2009 - 2026)
Netlist's Weighted Average Shares Outstanding was 356.1 million in Q3 2026, up 21.7% from 292.56 million a year earlier and up 8.7% from the prior quarter.
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Analysis
Netlist (NLST) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Netlist came in at 286.64 million, up 10.3% from FY2024.
- Weighted Average Shares Outstanding has now increased for four consecutive years, with a four-year compound annual growth rate of 7.1% (FY2021 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 259.9 million in FY2024 (+6.5%), 244.12 million in FY2023 (+5.5%), 231.49 million in FY2022 (+6.1%) and 218.17 million in FY2021.
- The Q3 2026 figure marks the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2010.
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for 16 straight quarters, with growth averaging 12.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 2.0% in Q1 2023 to 21.7% in Q3 2026.
- Per Business Quant data, NLST's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 327.59 million (Q2 2026), 309.45 million (Q1 2026) and 286.64 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,177.41 Bn | 4,922.87 Bn | 54.82 Bn | 14.66 Bn |
| 2 | Cisco Systems | 377.40 Bn | 377.40 Bn | 11.79 Bn | 3.95 Bn |
| 3 | Arista Networks | 249.38 Bn | 198.58 Bn | 2.33 Bn | 1.26 Bn |
| 4 | Dell Technologies | 220.34 Bn | 176.10 Bn | 9.83 Bn | 645.00 Mn |
| 5 | Sony | 166.48 Bn | 103.89 Bn | 7.96 Bn | 5.98 Bn |
| 6 | Sandisk | 127.44 Bn | 112.27 Bn | 9.38 Bn | 146.00 Mn |
| 7 | Seagate Technology Holdings | 121.35 Bn | 116.20 Bn | 2.43 Bn | 228.00 Mn |
| 8 | Western Digital | 110.67 Bn | 100.50 Bn | 2.53 Bn | 366.00 Mn |
| 9 | Hewlett Packard Enterprise | 64.15 Bn | 42.09 Bn | 4.93 Bn | 1.34 Bn |
| 10 | Netlist | 1.92 Bn | 1.53 Bn | 68.86 Mn | 356.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 356.10 Mn |
| Jun 27, 2026 | 327.59 Mn |
| Mar 28, 2026 | 309.45 Mn |
| Dec 27, 2025 | 286.64 Mn |
| Sep 27, 2025 | 292.56 Mn |
| Jun 28, 2025 | 275.75 Mn |
| Mar 29, 2025 | 272.38 Mn |
| Dec 28, 2024 | 259.90 Mn |
| Sep 28, 2024 | 258.03 Mn |
| Jun 29, 2024 | 256.57 Mn |
| Mar 30, 2024 | 254.93 Mn |
| Dec 30, 2023 | 244.12 Mn |
| Sep 30, 2023 | 247.42 Mn |
| Jul 1, 2023 | 240.38 Mn |
| Apr 1, 2023 | 235.12 Mn |
| Dec 31, 2022 | 231.49 Mn |
| Oct 1, 2022 | 231.74 Mn |
| Jul 2, 2022 | 231.30 Mn |
| Apr 2, 2022 | 230.55 Mn |
| Jan 1, 2022 | 218.17 Mn |
API Access
Netlist Shares Outstanding 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=shares-outstanding&ticker=NLST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=NLST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();