Lam Research (LRCX) Cash from Operations (2009 - 2026)
Lam Research's Cash from Operations was $3.5 billion in fiscal Q1 2027 (quarter ended Sep 27, 2026), up 96.6% from $1.78 billion a year earlier and up 140.0% from the prior quarter.
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Analysis
Lam Research (LRCX) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lam Research's Cash from Operations was $7.58 billion through Sep 27, 2026, up 18.7% year-over-year; for FY2026 (ended Jun 28, 2026), it was $5.86 billion, down 5.1% from FY2025.
- Cash from Operations shows a five-year compound annual growth rate of 10.3% (FY2021 to FY2026).
- In earlier fiscal years, Cash from Operations was $6.17 billion in FY2025 (+32.7%), $4.65 billion in FY2024 (-10.2%), $5.18 billion in FY2023 (+67.1%) and $3.1 billion in FY2022 (-13.6%).
- The fiscal Q1 2027 figure marks the highest quarterly Cash from Operations in data going back to fiscal Q1 2010.
- Compared with a year earlier, Cash from Operations was higher in four of the last eight quarters, with growth averaging 36.9%.
- The best year-over-year quarter for Cash from Operations over five years was fiscal Q2 2022 (growth of 318.0%); the worst was fiscal Q4 2022 (a decline of 69.1%).
- Per Business Quant data, LRCX's Cash from Operations in the three fiscal quarters before Q1 2027 was $1.46 billion (Q4 2026), $1.14 billion (Q3 2026) and $1.48 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | 43.60 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | 24.78 Bn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 24.08 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | 14.20 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 1.20 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 43.97 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | - |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 5.08 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 3.04 Bn |
| 10 | Lam Research | 277.80 Bn | 253.85 Bn | 4.30 Bn | 3.50 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 3.50 Bn |
| Jun 28, 2026 | 1.46 Bn |
| Mar 29, 2026 | 1.14 Bn |
| Dec 28, 2025 | 1.48 Bn |
| Sep 28, 2025 | 1.78 Bn |
| Jun 29, 2025 | 2.55 Bn |
| Mar 30, 2025 | 1.31 Bn |
| Dec 29, 2024 | 741.94 Mn |
| Sep 29, 2024 | 1.57 Bn |
| Jun 30, 2024 | 862.43 Mn |
| Mar 31, 2024 | 1.38 Bn |
| Dec 24, 2023 | 1.45 Bn |
| Sep 24, 2023 | 951.16 Mn |
| Jun 25, 2023 | 1.12 Bn |
| Mar 26, 2023 | 1.73 Bn |
| Dec 25, 2022 | 1.14 Bn |
| Sep 25, 2022 | 1.19 Bn |
| Jun 26, 2022 | 443.93 Mn |
| Mar 27, 2022 | 757.71 Mn |
| Dec 26, 2021 | 1.44 Bn |
API Access
Lam Research Cash from Operations 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-from-operations&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();