Lam Research (LRCX) Other Non-Current Liabilities (2010 - 2026)
Lam Research's Other Non-Current Liabilities came in at $709.89 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), up 17.6% from $603.41 million a year earlier and up 14.2% from the prior quarter.
Lam Research (LRCX) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Lam Research's Other Non-Current Liabilities data covers 64 quarters.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of -5.6% (FY2021 to FY2026).
- Going back by fiscal year, Other Non-Current Liabilities was $603.41 million in FY2025 (-25.8%), $813.3 million in FY2024 (-7.8%), $882.08 million in FY2023 (-5.3%) and $931.12 million in FY2022 (-1.8%).
- The fiscal Q4 2026 figure represents the highest quarterly Other Non-Current Liabilities since fiscal Q4 2024.
- Year-over-year, Other Non-Current Liabilities increased in 1 of the last eight quarters, with an average decline of 8.6%.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in fiscal Q4 2026 (growth of 17.6%), and the weakest in fiscal Q4 2025 (a decline of 25.8%).
- Business Quant data shows LRCX's Other Non-Current Liabilities at $621.57 million (Q3 2026), $667.64 million (Q2 2026) and $646.04 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,114.26 Bn | 4,888.42 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,138.81 Bn | 1,764.99 Bn | 27.22 Bn |
| 3 | Broadcom | 1,543.15 Bn | 1,469.19 Bn | 20.46 Bn |
| 4 | Micron Technology | 968.69 Bn | 874.33 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 828.94 Bn | 785.69 Bn | 6.20 Bn |
| 6 | Asml Holding | 601.46 Bn | 557.15 Bn | 5.90 Bn |
| 7 | Intel | 431.13 Bn | 315.86 Bn | 6.51 Bn |
| 8 | Applied Materials | 298.06 Bn | 263.50 Bn | 4.59 Bn |
| 9 | Lam Research | 287.49 Bn | 263.54 Bn | 4.30 Bn |
| 10 | Texas Instruments | 255.25 Bn | 233.08 Bn | 3.35 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 1.40 Bn |
| Jun 28, 2026 | 1.39 Bn |
| Mar 29, 2026 | 1.23 Bn |
| Dec 28, 2025 | 1.30 Bn |
| Sep 28, 2025 | 1.27 Bn |
| Jun 29, 2025 | 1.19 Bn |
| Mar 30, 2025 | 1.24 Bn |
| Dec 29, 2024 | 1.20 Bn |
| Sep 29, 2024 | 1.24 Bn |
| Jun 30, 2024 | 1.39 Bn |
| Mar 31, 2024 | 1.35 Bn |
| Dec 24, 2023 | 1.31 Bn |
| Sep 24, 2023 | 1.26 Bn |
| Jun 25, 2023 | 1.38 Bn |
| Mar 26, 2023 | 1.40 Bn |
| Dec 25, 2022 | 1.36 Bn |
| Sep 25, 2022 | 1.26 Bn |
| Jun 26, 2022 | 1.35 Bn |
| Mar 27, 2022 | 1.37 Bn |
| Dec 26, 2021 | 1.36 Bn |
Lam Research Other 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=other-non-current-liabilities&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();