Forest Laboratories (FRX-OLD)
Sector: | Health Care |
Super Investor Stats: | |
Ownership count: | 0 |
Ownership rank: | -- |
% of all portfolios: | 0% |
History | Portfolio Manager | Activity ▲ | Share change | % change to portfolio | |
Q2  2014 | |||||
≡ | Dodge & Cox | Sell 100.00% | 2,615,837 | 0.44 | |
≡ | Carl Icahn - Icahn Capital Management | Sell 100.00% | 30,662,005 | 8.59 | |
Q1  2014 | |||||
≡ | Dodge & Cox | Reduce 48.51% | 2,464,476 | 0.41 | |
≡ | Bill Nygren - Oakmark Select Fund | Sell 100.00% | 4,200,000 | 6.02 | |
Q4  2013 | |||||
≡ | Dodge & Cox | Add 159.11% | 3,119,644 | 0.35 | |
Q3  2013 | |||||
≡ | Dodge & Cox | Buy | 1,960,669 | 0.17 | |
Q1  2013 | |||||
≡ | Bill Nygren - Oakmark Select Fund | Buy | 4,200,000 | 4.67 | |
Q3  2011 | |||||
≡ | Richard Pzena - Hancock Classic Value | Sell 100.00% | 1,365,700 | 2.74 | |
Q1  2011 | |||||
≡ | Richard Pzena - Hancock Classic Value | Add 108.74% | 711,450 | 1.07 | |
Q4  2010 | |||||
≡ | Richard Pzena - Hancock Classic Value | Add 52.26% | 224,550 | 0.34 | |
Q3  2010 | |||||
≡ | Richard Pzena - Hancock Classic Value | Add 89.82% | 203,325 | 0.30 | |
Q2  2010 | |||||
≡ | Richard Pzena - Hancock Classic Value | Buy | 226,375 | 0.29 | |
Q1  2010 | |||||
≡ | Bruce Berkowitz - Fairholme Capital | Sell 100.00% | 13,299,200 | 5.27 | |
Q3  2009 | |||||
≡ | Bruce Berkowitz - Fairholme Capital | Reduce 16.30% | 2,589,600 | 1.05 | |
Q2  2009 | |||||
≡ | Bruce Berkowitz - Fairholme Capital | Reduce 4.03% | 667,300 | 0.26 | |
Q4  2008 | |||||
≡ | Bruce Berkowitz - Fairholme Capital | Add 47.21% | 5,309,300 | 2.44 | |
Q3  2008 | |||||
≡ | Bruce Berkowitz - Fairholme Capital | Add 7.21% | 756,300 | 0.36 | |
Q2  2008 | |||||
≡ | Bruce Berkowitz - Fairholme Capital | Buy | 10,490,500 | 5.03 |
* "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.