Lam Research (LRCX) Shares Outstanding (Entity) (2009 - 2026)
Lam Research's Shares Outstanding (Entity) was 1.25 billion in fiscal Q1 2027 (quarter ended Sep 27, 2026), down 0.8% from 1.26 billion a year earlier and down 0.2% from the prior quarter.
Lam Research (LRCX) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
From fiscal Q1 2010 onward, Lam Research has reported Shares Outstanding (Entity) for 69 quarters.
- Shares Outstanding (Entity) has now declined for six consecutive fiscal years, with a five-year compound annual growth rate of -2.6% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding (Entity) was 1.27 billion in FY2025 (-2.7%), 1.3 billion in FY2024 (-2.2%), 1.33 billion in FY2023 (-2.7%) and 1.37 billion in FY2022 (-3.9%).
- The fiscal Q1 2027 figure marks the lowest quarterly Shares Outstanding (Entity) since fiscal Q4 2012.
- Compared with a year earlier, Shares Outstanding (Entity) has declined for 23 straight quarters, with an average decline of 2.1% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Entity) ran from 0.8% in fiscal Q1 2027 to 3.9% in fiscal Q4 2022.
- Per Business Quant data, LRCX's Shares Outstanding (Entity) in the three fiscal quarters before Q1 2027 was 1.25 billion (Q4 2026), 1.25 billion (Q3 2026) and 1.25 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | - |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 24.19 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | 4.77 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 1.64 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 1.13 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | 385.42 Mn |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 5.31 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 793.60 Mn |
| 10 | Lam Research | 277.80 Bn | 253.85 Bn | 4.30 Bn | 1.25 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 1.25 Bn |
| Jun 28, 2026 | 1.25 Bn |
| Mar 29, 2026 | 1.25 Bn |
| Dec 28, 2025 | 1.25 Bn |
| Sep 28, 2025 | 1.26 Bn |
| Jun 29, 2025 | 1.27 Bn |
| Mar 30, 2025 | 1.28 Bn |
| Dec 29, 2024 | 1.28 Bn |
| Sep 29, 2024 | 1.29 Bn |
| Jun 30, 2024 | 1.30 Bn |
| Mar 31, 2024 | 1.31 Bn |
| Dec 24, 2023 | 1.31 Bn |
| Sep 24, 2023 | 1.32 Bn |
| Jun 25, 2023 | 1.33 Bn |
| Mar 26, 2023 | 1.35 Bn |
| Dec 25, 2022 | 1.35 Bn |
| Sep 25, 2022 | 1.36 Bn |
| Jun 26, 2022 | 1.37 Bn |
| Mar 27, 2022 | 1.39 Bn |
| Dec 26, 2021 | 1.40 Bn |
Lam Research Shares Outstanding (Entity) 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-entity&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "LRCX", "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-entity&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();