Lam Research (LRCX) Finished Goods (2010 - 2015)
Lam Research's Finished Goods came in at $230.81 million for fiscal Q1 2016 (quarter ended Sep 27, 2015), up 17.3% from $196.75 million a year earlier but down 2.0% from the prior quarter.
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Analysis
Lam Research (LRCX) Finished Goods (2010 - 2015) Analysis & Trends
At the end of FY2015 (ended Jun 28, 2015), Lam Research's Finished Goods was $235.44 million, up 43.3% from FY2014.
- Finished Goods carries a five-year compound annual growth rate of 20.7% (FY2010 to FY2015).
- Going back by fiscal year, Finished Goods was $164.32 million in FY2014 (+13.1%), $145.3 million in FY2013 (-15.5%), $172 million in FY2012 (+50.1%) and $114.62 million in FY2011 (+24.9%).
- The five-year range for quarterly Finished Goods is $80.45 million (fiscal Q3 2012) to $235.44 million (fiscal Q4 2015).
- Year-over-year, Finished Goods has increased for nine consecutive quarters, with growth averaging 22.4% over the last eight quarters.
- The fastest year-over-year change in Finished Goods over five years came in fiscal Q1 2013 (growth of 73.8%), and the weakest in fiscal Q4 2013 (a decline of 15.5%).
- Business Quant data shows LRCX's Finished Goods at $235.44 million (Q4 2015), $205.1 million (Q3 2015) and $216.05 million (Q2 2015) in the three fiscal quarters before Q1 2016.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2015 | 230.81 Mn |
| Jun 28, 2015 | 235.44 Mn |
| Mar 29, 2015 | 205.10 Mn |
| Dec 28, 2014 | 216.05 Mn |
| Sep 28, 2014 | 196.75 Mn |
| Jun 29, 2014 | 164.32 Mn |
| Mar 30, 2014 | 161.69 Mn |
| Dec 29, 2013 | 152.84 Mn |
| Sep 29, 2013 | 173.10 Mn |
| Jun 30, 2013 | 145.30 Mn |
| Mar 31, 2013 | 137.67 Mn |
| Dec 23, 2012 | 144.01 Mn |
| Sep 23, 2012 | 166.02 Mn |
| Jun 24, 2012 | 172.00 Mn |
| Mar 25, 2012 | 80.45 Mn |
| Dec 25, 2011 | 82.98 Mn |
| Sep 25, 2011 | 95.50 Mn |
| Jun 26, 2011 | 114.62 Mn |
| Jun 27, 2010 | 91.79 Mn |
API Access
Lam Research Finished Goods 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=finished-goods&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();