Fiat Chrysler Automobiles NV (FCAU)

Sector:Consumer Goods
Super Investor Stats:
Ownership count:4
Ownership rank:108
% of all portfolios:1.302%
Hold Price * :$17.91
History Portfolio Manager Activity Share change % change to portfolio
Q3  2017
Lee Ainslie - Maverick Capital Sell 100.00% 224,440 0.03
Q2  2017
Lee Ainslie - Maverick Capital Add 82.19% 101,250 0.01
Mohnish Pabrai - Pabrai Investments Add 1.45% 187,180 0.49
Q1  2017
Mohnish Pabrai - Pabrai Investments Add 7.94% 950,200 2.67
Bill Miller - Miller Value Partners Buy 500,000 0.28
Lee Ainslie - Maverick Capital Buy 123,190 0.02
Q4  2016
Mohnish Pabrai - Pabrai Investments Reduce 13.07% 1,800,000 4.73
Bill Miller - Miller Value Partners Sell 100.00% 4,959,125 1.81
Q3  2016
Bill Nygren - Oakmark Select Add 881.37% 23,471,000 3.15
Mohnish Pabrai - Pabrai Investments Reduce 0.09% 13,000 0.02
Bill Miller - Miller Value Partners Reduce 8.50% 460,600 0.17
Q2  2016
Mohnish Pabrai - Pabrai Investments Reduce 0.01% 1,000 0.00
Bill Miller - Miller Value Partners Reduce 11.22% 685,175 0.27
Bill Nygren - Oakmark Select Reduce 63.76% 4,685,000 0.67
Q1  2016
Mohnish Pabrai - Pabrai Investments Reduce 0.01% 1,990 0.00
Bill Nygren - Oakmark Select Reduce 41.07% 5,122,000 0.85
Q4  2015
Bill Nygren - Oakmark Select Add 5.05% 600,000 0.15
Mohnish Pabrai - Pabrai Investments Reduce 0.05% 7,000 0.03
Q3  2015
Mohnish Pabrai - Pabrai Investments Reduce 0.04% 5,300 0.02
Q2  2015
Bill Nygren - Oakmark Select Buy 11,870,000 2.86
Q1  2015
Mohnish Pabrai - Pabrai Investments Reduce 0.78% 108,349 0.42
Q4  2014
Mohnish Pabrai - Pabrai Investments Buy 13,908,569 35.67

* "Hold Price" is the term we use to indicate the price at which our Super Investors are comfortable owning a security. It is the price of the security as of the portfolio date (usually quarter end). It's a reasonable indicator of a stock's undervaluation at that price, otherwise it would have been sold. We only provide this value when a security is owned by at least two Super Investors. In the case of reporting dates being different, we calculate a weighted average price.