Lam Research (LRCX) Current Taxes (2010 - 2015)
Lam Research (LRCX) posted Current Taxes of $72.51 million for fiscal Q1 2016 (quarter ended Sep 27, 2015), up 59.5% from $45.45 million a year earlier and up 84.6% from the prior quarter.
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Analysis
Lam Research (LRCX) Current Taxes (2010 - 2015) Analysis & Trends
At the end of FY2015 (ended Jun 28, 2015), Lam Research's Current Taxes came in at $39.28 million, down 58.2% from FY2014.
- Annual Current Taxes shows a five-year compound annual growth rate of -6.5% (FY2010 to FY2015).
- In prior fiscal years, Lam Research's Current Taxes was $93.93 million in FY2014 (+138.3%), $39.42 million in FY2013 (+59.3%), $24.75 million in FY2012 (-51.7%) and $51.18 million in FY2011 (-6.7%).
- The fiscal Q1 2016 figure stands as the highest quarterly Current Taxes since fiscal Q4 2014.
- On a year-over-year basis, Current Taxes increased in six of the last eight quarters, with growth averaging 37.1%.
- The strongest year-over-year quarter for Current Taxes in the past five years was fiscal Q4 2014, with growth of 138.3%; the weakest was fiscal Q3 2015, with a decline of 79.8%.
- According to Business Quant data, Current Taxes for the three prior fiscal quarters was $39.28 million (Q4 2015), $10.35 million (Q3 2015) and $43.28 million (Q2 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (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 | 8.96 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 | 566.42 Mn |
| 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 | 114.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2015 | 72.51 Mn |
| Jun 28, 2015 | 39.28 Mn |
| Mar 29, 2015 | 10.35 Mn |
| Dec 28, 2014 | 43.28 Mn |
| Sep 28, 2014 | 45.45 Mn |
| Jun 29, 2014 | 93.93 Mn |
| Mar 30, 2014 | 51.18 Mn |
| Dec 29, 2013 | 38.72 Mn |
| Sep 29, 2013 | 32.89 Mn |
| Jun 30, 2013 | 39.42 Mn |
| Mar 31, 2013 | 29.94 Mn |
| Dec 23, 2012 | 17.95 Mn |
| Sep 23, 2012 | 22.22 Mn |
| Jun 24, 2012 | 24.75 Mn |
| Mar 25, 2012 | 47.14 Mn |
| Dec 25, 2011 | 48.93 Mn |
| Sep 25, 2011 | 60.43 Mn |
| Jun 26, 2011 | 51.18 Mn |
| Jun 27, 2010 | 54.87 Mn |
API Access
Lam Research Current Taxes 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-taxes&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "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-taxes&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();