Linear Technology Corp. (LLTC)

Sector:Information Technology
Super Investor Stats:
Ownership count:0
Ownership rank:--
% of all portfolios:0%
History Portfolio Manager Activity Share change % change to portfolio
Q1  2017
Lee Ainslie - Maverick Capital Sell 100.00% 52,070 0.04
Thomas Gayner - Markel Group Sell 100.00% 206,000 0.31
Q4  2016
Lee Ainslie - Maverick Capital Reduce 3.31% 1,780 0.00
Q3  2016
Thomas Gayner - Markel Group Add 17.05% 30,000 0.05
Lee Ainslie - Maverick Capital Reduce 19.89% 13,370 0.01
Q2  2016
Thomas Gayner - Markel Group Add 166.67% 110,000 0.14
Lee Ainslie - Maverick Capital Buy 67,220 0.04
Q1  2016
Thomas Gayner - Markel Group Buy 66,000 0.08
Q4  2015
Meridian Contrarian Fund Sell 100.00% 253,730 1.90
Q3  2015
Meridian Contrarian Fund Add 16.27% 35,509 0.27
Q2  2015
Meridian Contrarian Fund Add 43.38% 66,021 0.47
Q1  2015
Meridian Contrarian Fund Add 85.16% 70,000 0.50
Q4  2014
Meridian Contrarian Fund Reduce 29.86% 35,000 0.25
Q3  2014
Meridian Contrarian Fund Reduce 61.72% 189,000 1.27
Q2  2014
Meridian Contrarian Fund Reduce 12.06% 42,000 0.28
Ruane Cunniff - Sequoia Fund Sell 100.00% 27,750 0.02
Q1  2014
Ruane Cunniff - Sequoia Fund Reduce 52.20% 30,300 0.02
Meridian Contrarian Fund Reduce 4.13% 15,000 0.10
Q4  2013
Meridian Contrarian Fund Add 1.40% 5,000 0.03
Ruane Cunniff - Sequoia Fund Reduce 15.19% 10,400 0.01
Q3  2013
Meridian Contrarian Fund Add 13.28% 42,000 0.24
Q1  2013
Meridian Contrarian Fund Add 23.32% 59,800 0.34
Ruane Cunniff - Sequoia Fund Reduce 30.59% 30,160 0.02
Q4  2012
Meridian Contrarian Fund Buy 256,400 1.42
Q2  2012
Ruane Cunniff - Sequoia Fund Buy 98,610 0.07
Q1  2011
David Tepper - Appaloosa Management Sell 100.00% 49,000 0.04
Q3  2010
David Tepper - Appaloosa Management Buy 49,000 0.05

* "Hold Price" is the last known price at which an investor still held a security. It is the closing price of the security as of the portfolio date (quarter end). This value is only provided when a security is owned by at least two investors. In the case of reporting dates being different, a weighted average price is calculated.