Lam Research (LRCX) Change in Cash (2009 - 2026)
Lam Research's Change in Cash came in at $1.85 billion for fiscal Q1 2027 (quarter ended Sep 27, 2026), up 509.1% from $304.22 million a year earlier and up 122.9% from the prior quarter.
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Analysis
Lam Research (LRCX) Change in Cash (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 27, 2026, Lam Research reported Change in Cash of $739.02 million, up 15.5% year-over-year; for FY2026 (ended Jun 28, 2026), it came in at -$809.71 million.
- Going back by fiscal year, Change in Cash was $556.85 million in FY2025 (+111.4%), $263.43 million in FY2024 (-85.5%), $1.81 billion in FY2023 and -$897.22 million in FY2022.
- The fiscal Q1 2027 figure represents the highest quarterly Change in Cash since fiscal Q3 2018.
- Year-over-year, Change in Cash increased in three of the last four quarters, with growth averaging 242.0%.
- The fastest year-over-year change in Change in Cash over five years came in fiscal Q1 2027 (growth of 509.1%), and the weakest in fiscal Q3 2024 (a decline of 94.1%).
- Business Quant data shows LRCX's Change in Cash at $831.12 million (Q4 2026), -$1.43 billion (Q3 2026) and -$516.28 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 3.78 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | - |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 9.21 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.35 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 13.37 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 2.31 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 8.80 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 202.00 Mn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 1.85 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 1.85 Bn |
| Jun 28, 2026 | 831.12 Mn |
| Mar 29, 2026 | -1.43 Bn |
| Dec 28, 2025 | -516.28 Mn |
| Sep 28, 2025 | 304.22 Mn |
| Jun 29, 2025 | 944.68 Mn |
| Mar 30, 2025 | -214.43 Mn |
| Dec 29, 2024 | -394.69 Mn |
| Sep 29, 2024 | 221.28 Mn |
| Jun 30, 2024 | 177.05 Mn |
| Mar 31, 2024 | 48.23 Mn |
| Dec 24, 2023 | 498.71 Mn |
| Sep 24, 2023 | -460.56 Mn |
| Jun 25, 2023 | 31.04 Mn |
| Mar 26, 2023 | 820.28 Mn |
| Dec 25, 2022 | 228.61 Mn |
| Sep 25, 2022 | 733.92 Mn |
| Jun 26, 2022 | -672.22 Mn |
| Mar 27, 2022 | -891.65 Mn |
| Dec 26, 2021 | 1.04 Bn |
API Access
Lam Research Change in Cash 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=change-in-cash&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();