Lam Research (LRCX) Treasury Shares (2010 - 2026)
Lam Research's Treasury Shares was $31.6 billion in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 13.8% from $27.76 billion a year earlier and up 0.8% from the prior quarter.
Lam Research (LRCX) Treasury Shares (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Lam Research has reported Treasury Shares for 64 quarters.
- Treasury Shares has now increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 15.1% (FY2021 to FY2026).
- In earlier fiscal years, Treasury Shares was $27.76 billion in FY2025 (+13.9%), $24.37 billion in FY2024 (+13.2%), $21.53 billion in FY2023 (+10.5%) and $19.48 billion in FY2022 (+24.5%).
- The fiscal Q4 2026 figure marks the highest quarterly Treasury Shares in data going back to fiscal Q4 2010.
- Compared with a year earlier, Treasury Shares has increased for 58 straight quarters, with growth averaging 14.1% over the last eight quarters.
- The year-over-year growth in Treasury Shares has ranged between 10.3% (fiscal Q3 2025) and 25.7% (fiscal Q1 2022) over the last five years.
- Per Business Quant data, LRCX's Treasury Shares in the three fiscal quarters before Q4 2026 was $31.35 billion (Q3 2026), $30.2 billion (Q2 2026) and $28.76 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 146.00 Mn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | 3.18 Mn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | - |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 1.71 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 1.24 Bn |
| 10 | Arm Holdings | 310.17 Bn | 295.88 Bn | 1.25 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.71 Bn |
| Mar 29, 2026 | 1.71 Bn |
| Dec 28, 2025 | 1.71 Bn |
| Sep 28, 2025 | 1.70 Bn |
| Jun 29, 2025 | 1.69 Bn |
| Mar 30, 2025 | 1.67 Bn |
| Dec 29, 2024 | 1.67 Bn |
| Sep 29, 2024 | 1.66 Bn |
| Jun 30, 2024 | 1.65 Bn |
| Mar 31, 2024 | 164.42 Mn |
| Dec 24, 2023 | 163.47 Mn |
| Sep 24, 2023 | 162.65 Mn |
| Jun 25, 2023 | 161.38 Mn |
| Mar 26, 2023 | 159.94 Mn |
| Dec 25, 2022 | 158.78 Mn |
| Sep 25, 2022 | 157.77 Mn |
| Jun 26, 2022 | 157.09 Mn |
| Mar 27, 2022 | 155.32 Mn |
| Dec 26, 2021 | 153.09 Mn |
| Sep 26, 2021 | 152.50 Mn |
Lam Research Treasury Shares 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=treasury-shares&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();