Lam Research (LRCX) Total Current Liabilities (2010 - 2026)
Lam Research's Total Current Liabilities came in at $5.94 billion for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 9.6% from $6.57 billion a year earlier but up 13.3% from the prior quarter.
Lam Research (LRCX) Total Current Liabilities (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Lam Research's Total Current Liabilities data covers 64 quarters.
- Total Current Liabilities carries a five-year compound annual growth rate of 11.0% (FY2021 to FY2026).
- Going back by fiscal year, Total Current Liabilities was $6.57 billion in FY2025 (+51.4%), $4.34 billion in FY2024 (+3.7%), $4.18 billion in FY2023 (-8.3%) and $4.56 billion in FY2022 (+29.4%).
- The five-year range for quarterly Total Current Liabilities is $3.41 billion (fiscal Q1 2022) to $6.71 billion (fiscal Q1 2026).
- Year-over-year, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 19.2%.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q4 2025 (growth of 51.4%), and the weakest in fiscal Q1 2024 (a decline of 16.0%).
- Business Quant data shows LRCX's Total Current Liabilities at $5.24 billion (Q3 2026), $6.21 billion (Q2 2026) and $6.71 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 43.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 58.78 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 20.84 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 19.49 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 12.08 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | 28.24 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 35.67 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 5.94 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 10.36 Bn |
| 10 | Arm Holdings | 310.17 Bn | 295.88 Bn | 1.25 Bn | 1.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 5.94 Bn |
| Mar 29, 2026 | 5.24 Bn |
| Dec 28, 2025 | 6.21 Bn |
| Sep 28, 2025 | 6.71 Bn |
| Jun 29, 2025 | 6.57 Bn |
| Mar 30, 2025 | 5.49 Bn |
| Dec 29, 2024 | 5.35 Bn |
| Sep 29, 2024 | 5.34 Bn |
| Jun 30, 2024 | 4.34 Bn |
| Mar 31, 2024 | 4.43 Bn |
| Dec 24, 2023 | 4.27 Bn |
| Sep 24, 2023 | 4.25 Bn |
| Jun 25, 2023 | 4.18 Bn |
| Mar 26, 2023 | 4.44 Bn |
| Dec 25, 2022 | 4.55 Bn |
| Sep 25, 2022 | 5.05 Bn |
| Jun 26, 2022 | 4.56 Bn |
| Mar 27, 2022 | 4.19 Bn |
| Dec 26, 2021 | 3.86 Bn |
| Sep 26, 2021 | 3.41 Bn |
Lam Research Total Current 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-current-liabilities&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();