Lam Research (LRCX) Restructuring Costs (2009 - 2024)
Lam Research (LRCX) posted Restructuring Costs of -$800,000 for fiscal Q4 2024 (quarter ended Jun 30, 2024), compared with $1.74 million a year earlier.
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Analysis
Lam Research (LRCX) Restructuring Costs (2009 - 2024) Analysis & Trends
For FY2024 (ended Jun 30, 2024), Lam Research's Restructuring Costs came in at $18.2 million, down 56.8% from FY2023.
- In prior fiscal years, Lam Research's Restructuring Costs was $42.15 million in FY2023.
- The fiscal Q4 2024 figure stands as the lowest quarterly Restructuring Costs since fiscal Q1 2011.
- According to Business Quant data, Restructuring Costs for the three prior fiscal quarters was $15.25 million (Q3 2024), $1.7 million (Q2 2024) and $2.02 million (Q1 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn |
| 10 | Texas Instruments | 252.25 Bn | 230.08 Bn | 3.35 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | -800,000.00 |
| Mar 31, 2024 | 15.25 Mn |
| Dec 24, 2023 | 1.70 Mn |
| Sep 24, 2023 | 2.02 Mn |
| Jun 25, 2023 | 1.74 Mn |
| Mar 26, 2023 | 40.41 Mn |
| Sep 26, 2010 | -5.16 Mn |
| Sep 27, 2009 | 2.09 Mn |
API Access
Lam Research Restructuring Costs 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=restructuring-costs&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();