Lam Research (LRCX) Total Liabilities (2010 - 2026)
Lam Research (LRCX) reported Total Liabilities of $11.06 billion for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 3.7% from $11.48 billion a year earlier but up 8.3% from the prior quarter.
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Analysis
Lam Research (LRCX) Total Liabilities (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Lam Research's Total Liabilities record includes 64 quarters.
- Total Liabilities has a five-year compound annual growth rate of 2.3% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $11.48 billion in FY2025 (+12.5%), $10.21 billion in FY2024 (-3.5%), $10.57 billion in FY2023 (-3.2%) and $10.92 billion in FY2022 (+10.7%).
- Five-year quarterly Total Liabilities spans a low of $9.75 billion in fiscal Q1 2022 and a high of $11.71 billion in fiscal Q1 2026.
- Year over year, Total Liabilities gained in six of the last eight quarters, with growth averaging 3.3%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q1 2023 (growth of 16.0%); the low point was fiscal Q1 2024 (a decline of 7.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $10.21 billion (Q3 2026), $11.25 billion (Q2 2026) and $11.71 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 93.12 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 33.39 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | 36.03 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Arm Holdings | 310.17 Bn | 295.88 Bn | 1.25 Bn | 2.57 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 11.06 Bn |
| Mar 29, 2026 | 10.21 Bn |
| Dec 28, 2025 | 11.25 Bn |
| Sep 28, 2025 | 11.71 Bn |
| Jun 29, 2025 | 11.48 Bn |
| Mar 30, 2025 | 10.46 Bn |
| Dec 29, 2024 | 11.03 Bn |
| Sep 29, 2024 | 11.06 Bn |
| Jun 30, 2024 | 10.21 Bn |
| Mar 31, 2024 | 10.26 Bn |
| Dec 24, 2023 | 10.56 Bn |
| Sep 24, 2023 | 10.49 Bn |
| Jun 25, 2023 | 10.57 Bn |
| Mar 26, 2023 | 10.84 Bn |
| Dec 25, 2022 | 10.90 Bn |
| Sep 25, 2022 | 11.31 Bn |
| Jun 26, 2022 | 10.92 Bn |
| Mar 27, 2022 | 10.56 Bn |
| Dec 26, 2021 | 10.21 Bn |
| Sep 26, 2021 | 9.75 Bn |
API Access
Lam Research Total Liabilities 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=total-liabilities&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();