Lam Research (LRCX) Long-Term Investments (2015 - 2023)
Lam Research (LRCX) reported Long-Term Investments of $14.72 million for fiscal Q2 2024 (quarter ended Dec 24, 2023), down 85.7% from $103.13 million a year earlier and down 51.8% from the prior quarter.
Lam Research (LRCX) Long-Term Investments (2015 - 2023) Analysis & Trends
At the end of FY2023 (ended Jun 25, 2023), Lam Research posted Long-Term Investments of $37.64 million, down 72.3% from FY2022.
- Long-Term Investments has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -38.8% (FY2018 to FY2023).
- By fiscal year, Long-Term Investments came in at $135.73 million in FY2022 (-89.6%), $1.31 billion in FY2021 (-27.0%), $1.8 billion in FY2020 (+1.2%) and $1.77 billion in FY2019 (+305.4%).
- The fiscal Q2 2024 figure ranks as the lowest quarterly Long-Term Investments in data going back to fiscal Q4 2015.
- Year over year, Long-Term Investments has now declined in each of the last 11 quarters, with an average decline of 76.4% over the last eight quarters.
- The high point for year-over-year Long-Term Investments in five years was fiscal Q2 2020 (growth of 497.8%); the low point was fiscal Q3 2022 (a decline of 92.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2024 came in at $30.56 million (Q1 2024), $37.64 million (Q4 2023) and $63.85 million (Q3 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (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 | 568.83 Mn |
| 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 | 30.02 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 | 1.55 Bn |
| 7 | Intel | 431.13 Bn | 315.86 Bn | 6.51 Bn | 8.41 Bn |
| 8 | Applied Materials | 298.06 Bn | 263.50 Bn | 4.59 Bn | 5.27 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 |
|---|---|
| Dec 24, 2023 | 14.72 Mn |
| Sep 24, 2023 | 30.56 Mn |
| Jun 25, 2023 | 37.64 Mn |
| Mar 26, 2023 | 63.85 Mn |
| Dec 25, 2022 | 103.13 Mn |
| Sep 25, 2022 | 120.55 Mn |
| Jun 26, 2022 | 135.73 Mn |
| Mar 27, 2022 | 160.07 Mn |
| Dec 26, 2021 | 242.59 Mn |
| Sep 26, 2021 | 569.47 Mn |
| Jun 27, 2021 | 1.31 Bn |
| Mar 28, 2021 | 2.12 Bn |
| Dec 27, 2020 | 2.36 Bn |
| Sep 27, 2020 | 2.53 Bn |
| Jun 28, 2020 | 1.80 Bn |
| Mar 29, 2020 | 1.43 Bn |
| Dec 29, 2019 | 1.65 Bn |
| Sep 29, 2019 | 983.65 Mn |
| Jun 30, 2019 | 1.77 Bn |
| Mar 31, 2019 | 1.21 Bn |
Lam Research Long-Term Investments 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=long-term-investments&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();