Lam Research (LRCX) Other Operating Expenses (2009 - 2024)
Lam Research's Other Operating Expenses came in at -$3.25 billion for fiscal Q1 2027 (quarter ended Sep 27, 2026), compared with -$2.06 billion a year earlier.
Lam Research (LRCX) Other Operating Expenses (2009 - 2024) Analysis & Trends
Over the trailing twelve months to Sep 27, 2026, Lam Research reported Other Operating Expenses of -$10.32 billion; for FY2026 (ended Jun 28, 2026), it came in at -$9.13 billion.
- Going back by fiscal year, Other Operating Expenses was -$7.36 billion in FY2025, -$5.95 billion in FY2024, -$7.92 billion in FY2023 and -$7.75 billion in FY2022.
- The fiscal Q1 2027 figure represents the lowest quarterly Other Operating Expenses in data going back to fiscal Q1 2010.
- Business Quant data shows LRCX's Other Operating Expenses at -$2.6 billion (Q4 2026), -$2.35 billion (Q3 2026) and -$2.12 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 32,000.00 |
| Dec 24, 2023 | -12,000.00 |
| Sep 27, 2015 | 358,000.00 |
| Jun 28, 2015 | 79.44 Mn |
| Sep 28, 2014 | 6,000.00 |
| Jun 30, 2013 | -792,000.00 |
| Dec 23, 2012 | -1.02 Mn |
| Jun 24, 2012 | -1.73 Mn |
| Jun 28, 2009 | 8.16 Mn |
| Mar 29, 2009 | 89.08 Mn |
Lam Research Other Operating Expenses 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-operating-expenses&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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-operating-expenses&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();