Lam Research (LRCX) Total Current Liabilities (2009 - 2026)
Lam Research's Total Current Liabilities came in at $7.31 billion for fiscal Q1 2027 (quarter ended Sep 27, 2026), up 9.0% from $6.71 billion a year earlier and up 23.2% from the prior quarter.
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Analysis
Lam Research (LRCX) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 28, 2026), Lam Research's Total Current Liabilities was $5.94 billion, down 9.6% from FY2025.
- 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 fiscal Q1 2027 figure represents the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2010.
- Year-over-year, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 17.1%.
- 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 $5.94 billion (Q4 2026), $5.24 billion (Q3 2026) and $6.21 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 39.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 61.78 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 43.02 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.84 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 27.48 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 14.49 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 28.50 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 37.40 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 11.58 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 7.31 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 7.31 Bn |
| 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 |
API Access
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_KEYimport 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();