Snap-On Inc. (SNA)
| Sector: | Consumer Discretionary |
| Super Investor Stats: | |
| Ownership count: | 3 |
| Ownership Rank: | 131 |
| % of all portfolios: | 0.118% |
| Hold Price * : | $82.40 |
| Portfolio Manager | Activity![]() |
Share change | % change to portfolio | ||
| Q4  2012 | |||||
| hist | John Rogers - Ariel Appreciation | Reduce 10.44% | 45,700 | 0.28 | |
| hist | Robert Olstein - Olstein Value | Reduce 44.44% | 24,000 | 0.38 | |
| Q3  2012 | |||||
| hist | Robert Olstein - Olstein Value | Reduce 41.30% | 38,000 | 0.53 | |
| Q2  2012 | |||||
| hist | Charles Bobrinskoy - Ariel Focus | Add 145.45% | 11,200 | 1.62 | |
| hist | John Rogers - Ariel Appreciation | Buy | 437,800 | 2.16 | |
| hist | Robert Olstein - Olstein Value | Reduce 9.80% | 10,000 | 0.12 | |
| Q1  2012 | |||||
| hist | Charles Bobrinskoy - Ariel Focus | Buy | 7,700 | 1.02 | |
| Q4  2011 | |||||
| hist | Robert Olstein - Olstein Value | Add 24.39% | 20,000 | 0.20 | |
| Q3  2011 | |||||
| hist | Robert Olstein - Olstein Value | Buy | 82,000 | 0.77 | |
| Q2  2010 | |||||
| hist | Robert Olstein - Olstein Value | Sell 100.00% | 87,000 | 0.61 | |
| Q1  2010 | |||||
| hist | Robert Olstein - Olstein Value | Reduce 42.00% | 63,000 | 0.44 | |
| Q4  2009 | |||||
| hist | Robert Olstein - Olstein Value | Reduce 35.62% | 83,000 | 0.60 | |
| Q3  2009 | |||||
| hist | Robert Olstein - Olstein Value | Reduce 14.65% | 40,000 | 0.24 | |
| Q1  2009 | |||||
| hist | Robert Olstein - Olstein Value | Add 133.93% | 156,300 | 0.89 | |
| Q4  2008 | |||||
| hist | Robert Olstein - Olstein Value | Buy | 116,700 | 0.88 | |
* "Hold Price" is the term we use to indicate the price at which our Super Investors are happy to continue owning a security. It is the price of the security on 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.


