Lam Research (LRCX) Short-term Investments (2010 - 2015)
Lam Research's Short-term Investments was $2.57 billion in fiscal Q4 2015 (quarter ended Jun 28, 2015), up 59.6% from $1.61 billion a year earlier and up 11.3% from the prior quarter.
Lam Research (LRCX) Short-term Investments (2010 - 2015) Analysis & Trends
From fiscal Q4 2010 onward, Lam Research has reported Short-term Investments for 20 quarters.
- Short-term Investments has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 55.8% (FY2010 to FY2015).
- In earlier fiscal years, Short-term Investments was $1.61 billion in FY2014 (+20.8%), $1.33 billion in FY2013 (+2.8%), $1.3 billion in FY2012 (+106.0%) and $630.12 million in FY2011 (+124.5%).
- The fiscal Q4 2015 figure marks the highest quarterly Short-term Investments in data going back to fiscal Q4 2010.
- Compared with a year earlier, Short-term Investments has increased for seven straight quarters, with growth averaging 26.4% over the last eight quarters.
- The best year-over-year quarter for Short-term Investments over five years was fiscal Q3 2012 (growth of 217.6%); the worst was fiscal Q1 2014 (a decline of 1.0%).
- Per Business Quant data, LRCX's Short-term Investments in the three fiscal quarters before Q4 2015 was $2.31 billion (Q3 2015), $1.9 billion (Q2 2015) and $1.59 billion (Q1 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,148.84 Bn | 4,923.00 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,172.58 Bn | 1,797.45 Bn | 27.22 Bn |
| 3 | Broadcom | 1,549.26 Bn | 1,475.30 Bn | 20.46 Bn |
| 4 | Micron Technology | 996.65 Bn | 902.28 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 842.19 Bn | 798.93 Bn | 6.20 Bn |
| 6 | Asml Holding | 609.65 Bn | 565.34 Bn | 5.90 Bn |
| 7 | Intel | 440.78 Bn | 309.91 Bn | 6.51 Bn |
| 8 | Applied Materials | 299.11 Bn | 264.55 Bn | 4.59 Bn |
| 9 | Lam Research | 284.40 Bn | 260.45 Bn | 4.30 Bn |
| 10 | Texas Instruments | 258.16 Bn | 235.99 Bn | 3.35 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2015 | 2.57 Bn |
| Mar 29, 2015 | 2.31 Bn |
| Dec 28, 2014 | 1.90 Bn |
| Sep 28, 2014 | 1.59 Bn |
| Jun 29, 2014 | 1.61 Bn |
| Mar 30, 2014 | 1.46 Bn |
| Dec 29, 2013 | 1.39 Bn |
| Sep 29, 2013 | 1.30 Bn |
| Jun 30, 2013 | 1.33 Bn |
| Mar 31, 2013 | 1.34 Bn |
| Dec 23, 2012 | 1.33 Bn |
| Sep 23, 2012 | 1.31 Bn |
| Jun 24, 2012 | 1.30 Bn |
| Mar 25, 2012 | 993.70 Mn |
| Dec 25, 2011 | 712.86 Mn |
| Sep 25, 2011 | 713.09 Mn |
| Jun 26, 2011 | 630.12 Mn |
| Mar 27, 2011 | 312.88 Mn |
| Sep 26, 2010 | 304.99 Mn |
| Jun 27, 2010 | 280.69 Mn |
Lam Research Short-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=short-term-investments&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-investments&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();