Lam Research (LRCX) Non-Current Assets (2010 - 2026)
Lam Research (LRCX) posted Non-Current Assets of $7.92 billion for fiscal Q4 2026 (quarter ended Jun 28, 2026), up 16.0% from $6.83 billion a year earlier and up 5.7% from the prior quarter.
Powered by 
Analysis
Lam Research (LRCX) Non-Current Assets (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Lam Research has reported Non-Current Assets for 64 quarters.
- Annual Non-Current Assets has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 13.3% (FY2021 to FY2026).
- In prior fiscal years, Lam Research's Non-Current Assets was $6.83 billion in FY2025 (+16.5%), $5.86 billion in FY2024 (+5.6%), $5.55 billion in FY2023 (+13.1%) and $4.91 billion in FY2022 (+15.8%).
- The fiscal Q4 2026 figure stands as the highest quarterly Non-Current Assets in data going back to fiscal Q4 2010.
- On a year-over-year basis, Non-Current Assets has increased in each of the last 32 quarters, with growth averaging 14.2% over the last eight quarters.
- The year-over-year growth in Non-Current Assets has ranged between 4.2% (fiscal Q2 2024) and 20.0% (fiscal Q2 2023) over the last five years.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $7.49 billion (Q3 2026), $7.37 billion (Q2 2026) and $7.09 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 122.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | 152.18 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 135.98 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 67.38 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 52.94 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | 23.22 Bn |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | 145.23 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 7.92 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 18.43 Bn |
| 10 | Arm Holdings | 307.33 Bn | 293.04 Bn | 1.25 Bn | 4.86 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 7.92 Bn |
| Mar 29, 2026 | 7.49 Bn |
| Dec 28, 2025 | 7.37 Bn |
| Sep 28, 2025 | 7.09 Bn |
| Jun 29, 2025 | 6.83 Bn |
| Mar 30, 2025 | 6.51 Bn |
| Dec 29, 2024 | 6.23 Bn |
| Sep 29, 2024 | 6.04 Bn |
| Jun 30, 2024 | 5.86 Bn |
| Mar 31, 2024 | 5.79 Bn |
| Dec 24, 2023 | 5.73 Bn |
| Sep 24, 2023 | 5.54 Bn |
| Jun 25, 2023 | 5.55 Bn |
| Mar 26, 2023 | 5.51 Bn |
| Dec 25, 2022 | 5.50 Bn |
| Sep 25, 2022 | 5.11 Bn |
| Jun 26, 2022 | 4.91 Bn |
| Mar 27, 2022 | 4.70 Bn |
| Dec 26, 2021 | 4.58 Bn |
| Sep 26, 2021 | 4.42 Bn |
API Access
Lam Research Non-Current Assets 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=non-current-assets&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();