Lam Research (LRCX) Shares Outstanding (2009 - 2026)
Lam Research (LRCX) reported Shares Outstanding of 1.26 billion for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 2.4% from 1.29 billion a year earlier but up 0.4% from the prior quarter.
Lam Research (LRCX) Shares Outstanding (2009 - 2026) Analysis & Trends
Dating back to fiscal Q1 2010, Lam Research's Shares Outstanding record includes 68 quarters.
- Shares Outstanding has declined for nine consecutive fiscal years, with a five-year compound annual growth rate of -2.7% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding came in at 1.29 billion in FY2025 (-2.1%), 1.31 billion in FY2024 (-3.0%), 1.35 billion in FY2023 (-3.2%) and 1.4 billion in FY2022 (-2.6%).
- Five-year quarterly Shares Outstanding spans a low of 1.25 billion in fiscal Q3 2026 and a high of 1.42 billion in fiscal Q1 2022.
- Year over year, Shares Outstanding has now declined in each of the last 23 quarters, with an average decline of 2.3% over the last eight quarters.
- The year-over-year decline in Shares Outstanding has ranged between 1.9% (fiscal Q3 2025) and 3.4% (fiscal Q1 2023) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 1.25 billion (Q3 2026), 1.25 billion (Q2 2026) and 1.26 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,136.26 Bn | 4,910.42 Bn | 72.14 Bn | 24.19 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,136.54 Bn | 1,761.41 Bn | 27.22 Bn | 5.19 Bn |
| 3 | Broadcom | 1,540.90 Bn | 1,466.94 Bn | 20.46 Bn | 4.77 Bn |
| 4 | Micron Technology | 967.10 Bn | 872.74 Bn | 47.05 Bn | 1.13 Bn |
| 5 | Advanced Micro Devices | 829.08 Bn | 785.83 Bn | 6.20 Bn | 1.63 Bn |
| 6 | Asml Holding | 608.19 Bn | 563.87 Bn | 5.90 Bn | 388.50 Mn |
| 7 | Intel | 435.73 Bn | 304.86 Bn | 6.51 Bn | 5.10 Bn |
| 8 | Applied Materials | 298.50 Bn | 263.94 Bn | 4.59 Bn | 794.00 Mn |
| 9 | Lam Research | 288.46 Bn | 265.26 Bn | 3.48 Bn | 1.26 Bn |
| 10 | Texas Instruments | 256.17 Bn | 234.00 Bn | 3.35 Bn | 912.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.26 Bn |
| Mar 29, 2026 | 1.25 Bn |
| Dec 28, 2025 | 1.25 Bn |
| Sep 28, 2025 | 1.26 Bn |
| Jun 29, 2025 | 1.29 Bn |
| Mar 30, 2025 | 1.28 Bn |
| Dec 29, 2024 | 1.29 Bn |
| Sep 29, 2024 | 1.30 Bn |
| Jun 30, 2024 | 1.31 Bn |
| Mar 31, 2024 | 1.31 Bn |
| Dec 24, 2023 | 1.32 Bn |
| Sep 24, 2023 | 1.33 Bn |
| Jun 25, 2023 | 1.35 Bn |
| Mar 26, 2023 | 1.35 Bn |
| Dec 25, 2022 | 1.36 Bn |
| Sep 25, 2022 | 1.37 Bn |
| Jun 26, 2022 | 1.40 Bn |
| Mar 27, 2022 | 1.39 Bn |
| Dec 26, 2021 | 1.41 Bn |
| Sep 26, 2021 | 1.42 Bn |
Lam Research 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=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();