Lam Research (LRCX) Capital Expenditures (2009 - 2026)
Lam Research (LRCX) recorded Capital Expenditures of $257.7 million in fiscal Q1 2027 (quarter ended Sep 27, 2026), up 39.2% from $185.12 million a year earlier and up 36.5% from the prior quarter.
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Analysis
Lam Research (LRCX) Capital Expenditures (2009 - 2026) Analysis & Trends
On a TTM basis, Lam Research's Capital Expenditures came in at $1.04 billion as of Sep 27, 2026, up 24.6% year-over-year; for FY2026 (ended Jun 28, 2026), it came in at $966.41 million, up 27.3% from FY2025.
- Annual Capital Expenditures has a five-year compound annual growth rate of 22.6% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $759.19 million in FY2025 (+91.4%), $396.67 million in FY2024 (-20.9%), $501.57 million in FY2023 (-8.1%) and $546.03 million in FY2022 (+56.4%).
- Quarterly Capital Expenditures has ranged from $76.99 million in fiscal Q1 2024 to $331.6 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Capital Expenditures has increased for ten consecutive quarters, with growth averaging 60.3% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 177.9% in fiscal Q3 2025, against a decline of 45.0% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $188.8 million (Q4 2026), $331.6 million (Q3 2026) and $260.88 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | -7.11 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | - |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 2.68 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | -1.01 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 648.00 Mn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 11.11 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | - |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 4.02 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Lam Research | 277.80 Bn | 253.85 Bn | 4.30 Bn | 257.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 257.70 Mn |
| Jun 28, 2026 | 188.80 Mn |
| Mar 29, 2026 | 331.60 Mn |
| Dec 28, 2025 | 260.88 Mn |
| Sep 28, 2025 | 185.12 Mn |
| Jun 29, 2025 | 172.19 Mn |
| Mar 30, 2025 | 288.06 Mn |
| Dec 29, 2024 | 188.35 Mn |
| Sep 29, 2024 | 110.59 Mn |
| Jun 30, 2024 | 100.75 Mn |
| Mar 31, 2024 | 103.65 Mn |
| Dec 24, 2023 | 115.28 Mn |
| Sep 24, 2023 | 76.99 Mn |
| Jun 25, 2023 | 78.67 Mn |
| Mar 26, 2023 | 119.46 Mn |
| Dec 25, 2022 | 163.38 Mn |
| Sep 25, 2022 | 140.06 Mn |
| Jun 26, 2022 | 125.75 Mn |
| Mar 27, 2022 | 145.37 Mn |
| Dec 26, 2021 | 138.49 Mn |
API Access
Lam Research Capital Expenditures 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=capital-expenditures&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();