Lam Research (LRCX) Other Accumulated Expenses (2010 - 2015)
Lam Research (LRCX) reported Other Accumulated Expenses of $187.23 million for fiscal Q1 2016 (quarter ended Sep 27, 2015), up 61.9% from $115.62 million a year earlier and up 21.0% from the prior quarter.
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Analysis
Lam Research (LRCX) Other Accumulated Expenses (2010 - 2015) Analysis & Trends
At the end of FY2015 (ended Jun 28, 2015), Lam Research posted Other Accumulated Expenses of $154.78 million, up 52.1% from FY2014.
- Other Accumulated Expenses has a five-year compound annual growth rate of 21.6% (FY2010 to FY2015).
- By fiscal year, Other Accumulated Expenses came in at $101.74 million in FY2014 (-13.8%), $118.06 million in FY2013 (-8.7%), $129.28 million in FY2012 (+114.4%) and $60.31 million in FY2011 (+3.6%).
- The fiscal Q1 2016 figure ranks as the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2010.
- Year over year, Other Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 16.2% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q4 2012 (growth of 114.4%); the low point was fiscal Q4 2014 (a decline of 13.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2016 came in at $154.78 million (Q4 2015), $142.2 million (Q3 2015) and $134.25 million (Q2 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2015 | 187.23 Mn |
| Jun 28, 2015 | 154.78 Mn |
| Mar 29, 2015 | 142.20 Mn |
| Dec 28, 2014 | 134.25 Mn |
| Sep 28, 2014 | 115.62 Mn |
| Jun 29, 2014 | 101.74 Mn |
| Mar 30, 2014 | 109.24 Mn |
| Dec 29, 2013 | 115.44 Mn |
| Sep 29, 2013 | 125.39 Mn |
| Jun 30, 2013 | 118.06 Mn |
| Mar 31, 2013 | 116.57 Mn |
| Dec 23, 2012 | 118.90 Mn |
| Sep 23, 2012 | 126.41 Mn |
| Jun 24, 2012 | 129.28 Mn |
| Mar 25, 2012 | 78.20 Mn |
| Dec 25, 2011 | 71.06 Mn |
| Sep 25, 2011 | 75.77 Mn |
| Jun 26, 2011 | 60.31 Mn |
| Jun 27, 2010 | 58.19 Mn |
API Access
Lam Research Other Accumulated Expenses 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=other-accumulated-expenses&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();