Lam Research (LRCX) Work In Process (2010 - 2015)
Lam Research (LRCX) reported Work In Process of $132.13 million for fiscal Q1 2016 (quarter ended Sep 27, 2015), up 8.5% from $121.8 million a year earlier but down 6.5% from the prior quarter.
Lam Research (LRCX) Work In Process (2010 - 2015) Analysis & Trends
At the end of FY2015 (ended Jun 28, 2015), Lam Research posted Work In Process of $141.26 million, up 11.6% from FY2014.
- Work In Process has a five-year compound annual growth rate of 16.0% (FY2010 to FY2015).
- By fiscal year, Work In Process came in at $126.56 million in FY2014 (+24.7%), $101.53 million in FY2013 (-14.4%), $118.57 million in FY2012 (+71.8%) and $69.01 million in FY2011 (+2.8%).
- Five-year quarterly Work In Process spans a low of $68.41 million in fiscal Q2 2012 and a high of $141.26 million in fiscal Q4 2015.
- Year over year, Work In Process has now increased in each of the last nine quarters, with growth averaging 22.5% over the last eight quarters.
- The high point for year-over-year Work In Process in five years was fiscal Q4 2012 (growth of 71.8%); the low point was fiscal Q4 2013 (a decline of 14.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2016 came in at $141.26 million (Q4 2015), $136.27 million (Q3 2015) and $133.1 million (Q2 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn |
| 10 | Arm Holdings | 310.17 Bn | 295.88 Bn | 1.25 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2015 | 132.13 Mn |
| Jun 28, 2015 | 141.26 Mn |
| Mar 29, 2015 | 136.27 Mn |
| Dec 28, 2014 | 133.10 Mn |
| Sep 28, 2014 | 121.80 Mn |
| Jun 29, 2014 | 126.56 Mn |
| Mar 30, 2014 | 114.89 Mn |
| Dec 29, 2013 | 94.97 Mn |
| Sep 29, 2013 | 90.92 Mn |
| Jun 30, 2013 | 101.53 Mn |
| Mar 31, 2013 | 94.52 Mn |
| Dec 23, 2012 | 78.46 Mn |
| Sep 23, 2012 | 85.15 Mn |
| Jun 24, 2012 | 118.57 Mn |
| Mar 25, 2012 | 78.47 Mn |
| Dec 25, 2011 | 68.41 Mn |
| Sep 25, 2011 | 83.58 Mn |
| Jun 26, 2011 | 69.01 Mn |
| Jun 27, 2010 | 67.11 Mn |
Lam Research Work In Process 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=work-in-process&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "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=work-in-process&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();