Lam Research (LRCX) Raw Materials (2010 - 2015)
Lam Research (LRCX) recorded Raw Materials of $553.74 million in fiscal Q1 2016 (quarter ended Sep 27, 2015), up 11.4% from $497.06 million a year earlier but down 2.3% from the prior quarter.
Lam Research (LRCX) Raw Materials (2010 - 2015) Analysis & Trends
At the end of FY2015 (ended Jun 28, 2015), Lam Research reported Raw Materials of $566.65 million, up 26.0% from FY2014.
- Annual Raw Materials has a five-year compound annual growth rate of 28.8% (FY2010 to FY2015).
- Across earlier fiscal years, Raw Materials came in at $449.62 million in FY2014 (+43.9%), $312.48 million in FY2013 (-8.7%), $342.28 million in FY2012 (+60.7%) and $212.98 million in FY2011 (+33.5%).
- Quarterly Raw Materials has ranged from $212.98 million in fiscal Q4 2011 to $578.3 million in fiscal Q3 2015 over the past five years.
- On a year-over-year basis, Raw Materials has increased for nine consecutive quarters, with growth averaging 33.2% over the last eight quarters.
- Peak year-over-year performance for Raw Materials in the last five years was growth of 60.7% in fiscal Q4 2012, against a decline of 8.7% in fiscal Q4 2013 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $566.65 million (Q4 2015), $578.3 million (Q3 2015) and $564.24 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 | 553.74 Mn |
| Jun 28, 2015 | 566.65 Mn |
| Mar 29, 2015 | 578.30 Mn |
| Dec 28, 2014 | 564.24 Mn |
| Sep 28, 2014 | 497.06 Mn |
| Jun 29, 2014 | 449.62 Mn |
| Mar 30, 2014 | 440.77 Mn |
| Dec 29, 2013 | 413.76 Mn |
| Sep 29, 2013 | 350.77 Mn |
| Jun 30, 2013 | 312.48 Mn |
| Mar 31, 2013 | 312.85 Mn |
| Dec 23, 2012 | 307.81 Mn |
| Sep 23, 2012 | 316.76 Mn |
| Jun 24, 2012 | 342.28 Mn |
| Mar 25, 2012 | 217.21 Mn |
| Dec 25, 2011 | 221.75 Mn |
| Sep 25, 2011 | 217.22 Mn |
| Jun 26, 2011 | 212.98 Mn |
| Jun 27, 2010 | 159.57 Mn |
Lam Research Raw Materials 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=raw-materials&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "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=raw-materials&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();