Lam Research (LRCX) Inventory (2009 - 2026)
Lam Research (LRCX) recorded Inventory of $4.55 billion in fiscal Q1 2027 (quarter ended Sep 27, 2026), up 11.1% from $4.1 billion a year earlier and up 6.4% from the prior quarter.
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Analysis
Lam Research (LRCX) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 28, 2026), Lam Research reported Inventory of $4.28 billion, down 0.7% from FY2025.
- Annual Inventory has a five-year compound annual growth rate of 9.7% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $4.31 billion in FY2025 (+2.1%), $4.22 billion in FY2024 (-12.4%), $4.82 billion in FY2023 (+21.4%) and $3.97 billion in FY2022 (+47.5%).
- The fiscal Q1 2027 figure is the highest quarterly Inventory since fiscal Q1 2024.
- On a year-over-year basis, Inventory rose in three of the last eight quarters, with an average decline of 0.8%.
- Peak year-over-year performance for Inventory in the last five years was growth of 56.8% in fiscal Q2 2023, against a decline of 12.4% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.28 billion (Q4 2026), $4 billion (Q3 2026) and $4.04 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 11.67 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 13.43 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 31.58 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.52 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 10.37 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 11.46 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 13.43 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 13.07 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 6.89 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 4.55 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 4.55 Bn |
| Jun 28, 2026 | 4.28 Bn |
| Mar 29, 2026 | 4.00 Bn |
| Dec 28, 2025 | 4.04 Bn |
| Sep 28, 2025 | 4.10 Bn |
| Jun 29, 2025 | 4.31 Bn |
| Mar 30, 2025 | 4.46 Bn |
| Dec 29, 2024 | 4.36 Bn |
| Sep 29, 2024 | 4.21 Bn |
| Jun 30, 2024 | 4.22 Bn |
| Mar 31, 2024 | 4.32 Bn |
| Dec 24, 2023 | 4.43 Bn |
| Sep 24, 2023 | 4.75 Bn |
| Jun 25, 2023 | 4.82 Bn |
| Mar 26, 2023 | 4.88 Bn |
| Dec 25, 2022 | 4.82 Bn |
| Sep 25, 2022 | 4.36 Bn |
| Jun 26, 2022 | 3.97 Bn |
| Mar 27, 2022 | 3.48 Bn |
| Dec 26, 2021 | 3.07 Bn |
API Access
Lam Research Inventory 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=inventory&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();