Lam Research (LRCX) Current Leases (2011 - 2017)
Lam Research's Current Leases came in at $612,000 for fiscal Q4 2017 (quarter ended Jun 25, 2017), down 91.5% from $7.2 million a year earlier.
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Analysis
Lam Research (LRCX) Current Leases (2011 - 2017) Analysis & Trends
Going back to fiscal Q4 2011, Lam Research's Current Leases data covers 11 quarters.
- Current Leases carries a five-year compound annual growth rate of -16.9% (FY2012 to FY2017).
- Going back by fiscal year, Current Leases was $7.2 million in FY2016 (+372.2%), $1.52 million in FY2015 (-9.3%), $1.68 million in FY2014 (+2.4%) and $1.64 million in FY2013 (+6.1%).
- The fiscal Q4 2017 figure represents the lowest quarterly Current Leases in data going back to fiscal Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Leases (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | - |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | - |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 25, 2017 | 612,000.00 |
| Jun 26, 2016 | 7.20 Mn |
| Jun 28, 2015 | 1.52 Mn |
| Jun 29, 2014 | 1.68 Mn |
| Jun 30, 2013 | 1.64 Mn |
| Mar 31, 2013 | 1.56 Mn |
| Dec 23, 2012 | 1.46 Mn |
| Sep 23, 2012 | 1.52 Mn |
| Jun 24, 2012 | 1.55 Mn |
| Mar 25, 2012 | 1.52 Mn |
| Jun 26, 2011 | 1.57 Mn |
API Access
Lam Research Current Leases 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=current-leases&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-leases", "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=current-leases&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();