Lam Research (LRCX) Total Non-Current Liabilities (2009 - 2026)
Lam Research (LRCX) posted Total Non-Current Liabilities of $11.04 billion for fiscal Q1 2027 (quarter ended Sep 27, 2026), up 5.8% from $10.44 billion a year earlier and up 14.2% from the prior quarter.
Lam Research (LRCX) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 28, 2026), Lam Research's Total Non-Current Liabilities came in at $9.67 billion, down 6.1% from FY2025.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 2.6% (FY2021 to FY2026).
- In prior fiscal years, Lam Research's Total Non-Current Liabilities was $10.3 billion in FY2025 (+16.8%), $8.82 billion in FY2024 (-4.0%), $9.19 billion in FY2023 (-3.9%) and $9.56 billion in FY2022 (+12.3%).
- The fiscal Q1 2027 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 3.9%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q1 2023, with growth of 19.7%; the weakest was fiscal Q1 2024, with a decline of 8.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $9.67 billion (Q4 2026), $8.97 billion (Q3 2026) and $9.94 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | 16.81 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | 32.74 Bn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 80.37 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | 78.01 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 23.70 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 45.85 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | 7.86 Bn |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 83.71 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 15.60 Bn |
| 10 | Lam Research | 277.80 Bn | 253.85 Bn | 4.30 Bn | 11.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 11.04 Bn |
| Jun 28, 2026 | 9.67 Bn |
| Mar 29, 2026 | 8.97 Bn |
| Dec 28, 2025 | 9.94 Bn |
| Sep 28, 2025 | 10.44 Bn |
| Jun 29, 2025 | 10.30 Bn |
| Mar 30, 2025 | 9.22 Bn |
| Dec 29, 2024 | 9.83 Bn |
| Sep 29, 2024 | 9.82 Bn |
| Jun 30, 2024 | 8.82 Bn |
| Mar 31, 2024 | 8.91 Bn |
| Dec 24, 2023 | 9.25 Bn |
| Sep 24, 2023 | 9.23 Bn |
| Jun 25, 2023 | 9.19 Bn |
| Mar 26, 2023 | 9.44 Bn |
| Dec 25, 2022 | 9.54 Bn |
| Sep 25, 2022 | 10.05 Bn |
| Jun 26, 2022 | 9.56 Bn |
| Mar 27, 2022 | 9.20 Bn |
| Dec 26, 2021 | 8.85 Bn |
Lam Research Total Non-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-non-current-liabilities&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();