S&P Global Inc. (SPGI)
Sector: | Consumer Discretionary |
Super Investor Stats: | |
Ownership count: | 9 |
Ownership rank: | 31 |
% of all portfolios: | 0.53% |
Hold Price * : | $425.98 |
History | Portfolio Manager | Activity ▼ | Share change | % change to portfolio | |
Q1  2011 | |||||
≡ | Dodge & Cox | Add 170.95% | 3,028,448 | 0.27 | |
≡ | David Katz - Matrix Asset Advisors | Reduce 4.12% | 3,500 | 0.13 | |
Q4  2010 | |||||
≡ | Dodge & Cox | Buy | 1,771,552 | 0.15 | |
≡ | David Katz - Matrix Asset Advisors | Reduce 9.57% | 9,000 | 0.33 | |
Q1  2010 | |||||
≡ | David Katz - Matrix Asset Advisors | Reduce 4.08% | 4,000 | 0.14 | |
≡ | Thomas Gayner - Markel Group | Sell 100.00% | 170,000 | 0.40 | |
Q4  2009 | |||||
≡ | Thomas Gayner - Markel Group | Reduce 12.82% | 25,000 | 0.06 | |
Q3  2009 | |||||
≡ | Thomas Gayner - Markel Group | Reduce 11.36% | 25,000 | 0.05 | |
Q2  2009 | |||||
≡ | David Katz - Matrix Asset Advisors | Reduce 13.27% | 15,000 | 0.56 | |
Q4  2008 | |||||
≡ | David Katz - Matrix Asset Advisors | Add 15.31% | 15,000 | 0.42 | |
Q3  2008 | |||||
≡ | David Katz - Matrix Asset Advisors | Reduce 11.07% | 12,200 | 0.37 | |
≡ | Thomas Gayner - Markel Group | Reduce 35.45% | 120,800 | 0.25 | |
Q2  2008 | |||||
≡ | Thomas Gayner - Markel Group | Reduce 26.04% | 120,000 | 0.32 | |
Q1  2008 | |||||
≡ | David Katz - Matrix Asset Advisors | Add 96.79% | 54,200 | 1.56 | |
≡ | Thomas Gayner - Markel Group | Reduce 4.52% | 21,800 | 0.04 | |
Q4  2007 | |||||
≡ | David Katz - Matrix Asset Advisors | Buy | 56,000 | 1.53 | |
≡ | Thomas Gayner - Markel Group | Reduce 0.04% | 200 | 0.00 | |
Q2  2007 | |||||
≡ | Thomas Gayner - Markel Group | Reduce 0.37% | 1,800 | 0.01 | |
Q1  2007 | |||||
≡ | Thomas Gayner - Markel Group | Reduce 0.21% | 1,000 | 0.00 |
* "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.