Lam Research (LRCX) Cash & Equivalents Growth (1y) (2010 - 2026)
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Analysis
Lam Research (LRCX) Cash & Equivalents Growth (1y) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. Growth (1y) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,434.79 Bn | 5,369.56 Bn | 72.14 Bn | 92.83% |
| 2 | Taiwan Semiconductor Manufacturing | 2,317.02 Bn | 2,212.96 Bn | 27.22 Bn | 29.20% |
| 3 | Broadcom | 1,694.72 Bn | 1,670.75 Bn | 20.46 Bn | 123.69% |
| 4 | Micron Technology | 1,210.15 Bn | 1,184.13 Bn | 35.06 Bn | 145.94% |
| 5 | Advanced Micro Devices | 1,003.04 Bn | 989.93 Bn | 6.20 Bn | 14.50% |
| 6 | Asml Holding | 672.40 Bn | 656.42 Bn | 5.90 Bn | 13.95% |
| 7 | Intel | 618.27 Bn | 604.15 Bn | 6.51 Bn | 33.51% |
| 8 | Lam Research | 384.49 Bn | 378.91 Bn | 3.48 Bn | -12.70% |
| 9 | Applied Materials | 376.47 Bn | 367.23 Bn | 4.59 Bn | 30.70% |
| 10 | Arm Holdings | 352.85 Bn | 348.96 Bn | 1.25 Bn | 56.34% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -12.70% |
| Mar 29, 2026 | -12.84% |
| Dec 28, 2025 | 9.09% |
| Sep 28, 2025 | 10.31% |
| Jun 29, 2025 | 9.28% |
| Mar 30, 2025 | -3.91% |
| Dec 29, 2024 | 0.75% |
| Sep 29, 2024 | 18.36% |
| Jun 30, 2024 | 9.57% |
| Mar 31, 2024 | 6.91% |
| Dec 24, 2023 | 25.39% |
| Sep 24, 2023 | 20.43% |
| Jun 25, 2023 | 51.53% |
| Mar 26, 2023 | 26.48% |
| Dec 25, 2022 | -11.83% |
| Sep 25, 2022 | 5.30% |
| Jun 26, 2022 | -20.29% |
| Mar 27, 2022 | 14.19% |
| Dec 26, 2021 | 37.95% |
| Sep 26, 2021 | -2.10% |
API Access
Lam Research Cash & Equivalents Growth (1y) 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=cash-and-equivalents-growth-1y&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents-growth-1y", "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=cash-and-equivalents-growth-1y&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();