Lam Research (LRCX) Net Equity Issued and Repurchased (2009 - 2026)
Lam Research's Net Equity Issued and Repurchased was $4.43 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 535.9% from $696,000 a year earlier but down 51.7% from the prior quarter.
Lam Research (LRCX) Net Equity Issued and Repurchased (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Net Equity Issued and Repurchased at Lam Research came in at $17.45 million, up 611.5% from FY2025.
- Net Equity Issued and Repurchased shows a five-year compound annual growth rate of -6.3% (FY2021 to FY2026).
- In earlier fiscal years, Net Equity Issued and Repurchased was $2.45 million in FY2025 (-84.2%), $15.55 million in FY2024 (+40.0%), $11.11 million in FY2023 (+95.5%) and $5.68 million in FY2022 (-76.4%).
- Quarterly Net Equity Issued and Repurchased has moved between -$194,000 (fiscal Q2 2025) and $9.17 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Net Equity Issued and Repurchased was higher in two of the last four quarters, with growth averaging 186.2%.
- The best year-over-year quarter for Net Equity Issued and Repurchased over five years was fiscal Q1 2023 (growth of 815.9%); the worst was fiscal Q3 2022 (a decline of 94.9%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 200.00 Mn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | - |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 4.43 Mn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | - |
| 10 | Arm Holdings | 307.33 Bn | 293.04 Bn | 1.25 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.43 Mn |
| Mar 29, 2026 | 9.17 Mn |
| Dec 28, 2025 | 3.85 Mn |
| Jun 29, 2025 | 696,000.00 |
| Mar 30, 2025 | 1.99 Mn |
| Dec 29, 2024 | -194,000.00 |
| Sep 29, 2024 | -43,000.00 |
| Jun 30, 2024 | 2.80 Mn |
| Mar 31, 2024 | 8.24 Mn |
| Dec 24, 2023 | 1.70 Mn |
| Sep 24, 2023 | 2.82 Mn |
| Jun 25, 2023 | 3.44 Mn |
| Dec 25, 2022 | 877,000.00 |
| Sep 25, 2022 | 6.80 Mn |
| Jun 26, 2022 | 997,000.00 |
| Mar 27, 2022 | 492,000.00 |
| Dec 26, 2021 | 3.45 Mn |
| Sep 26, 2021 | 742,000.00 |
| Jun 27, 2021 | 851,000.00 |
| Mar 28, 2021 | 9.63 Mn |
Lam Research Net Equity Issued and Repurchased 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=net-equity-issued-and-repurchased&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "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=net-equity-issued-and-repurchased&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();