Lam Research (LRCX) Net Cash Flow (2009 - 2026)
Lam Research's Net Cash Flow was $1.85 billion in fiscal Q1 2027 (quarter ended Sep 27, 2026), up 493.8% from $311.28 million a year earlier and up 121.8% from the prior quarter.
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Analysis
Lam Research (LRCX) Net Cash Flow (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lam Research's Net Cash Flow was $754.72 million through Sep 27, 2026, up 17.7% year-over-year; for FY2026 (ended Jun 28, 2026), it was -$782.28 million.
- In earlier fiscal years, Net Cash Flow was $528.53 million in FY2025 (+84.9%), $285.81 million in FY2024 (-84.2%), $1.81 billion in FY2023 and -$866.99 million in FY2022.
- The fiscal Q1 2027 figure marks the highest quarterly Net Cash Flow since fiscal Q3 2018.
- Compared with a year earlier, Net Cash Flow was higher in three of the last four quarters, with growth averaging 233.0%.
- The best year-over-year quarter for Net Cash Flow over five years was fiscal Q4 2024 (growth of 531.5%); the worst was fiscal Q3 2024 (a decline of 93.1%).
- Per Business Quant data, LRCX's Net Cash Flow in the three fiscal quarters before Q1 2027 was $833.18 million (Q4 2026), -$1.42 billion (Q3 2026) and -$502.94 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | 3.57 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | 3.35 Bn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 9.21 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | -10.96 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 2.31 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 13.30 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | - |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 8.80 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 735.00 Mn |
| 10 | Lam Research | 277.80 Bn | 253.85 Bn | 4.30 Bn | 1.85 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 1.85 Bn |
| Jun 28, 2026 | 833.18 Mn |
| Mar 29, 2026 | -1.42 Bn |
| Dec 28, 2025 | -502.94 Mn |
| Sep 28, 2025 | 311.28 Mn |
| Jun 29, 2025 | 915.40 Mn |
| Mar 30, 2025 | -216.81 Mn |
| Dec 29, 2024 | -368.66 Mn |
| Sep 29, 2024 | 198.60 Mn |
| Jun 30, 2024 | 186.67 Mn |
| Mar 31, 2024 | 56.68 Mn |
| Dec 24, 2023 | 491.99 Mn |
| Sep 24, 2023 | -449.53 Mn |
| Jun 25, 2023 | 29.56 Mn |
| Mar 26, 2023 | 822.58 Mn |
| Dec 25, 2022 | 210.73 Mn |
| Sep 25, 2022 | 750.84 Mn |
| Jun 26, 2022 | -655.54 Mn |
| Mar 27, 2022 | -886.56 Mn |
| Dec 26, 2021 | 1.05 Bn |
API Access
Lam Research Net Cash Flow 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-cash-flow&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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-cash-flow&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();