Texas Pacific Land Corp. (TPL)
| Sector: | Financials |
| |
| Super Investor Stats: | |
| Ownership count: | 0 |
| Ownership rank: | -- |
| % of all portfolios: | 0% |
| |
| History |
Portfolio Manager |
Activity |
Share change |
% change to portfolio ▼ |
| Q4 2024 |
| ≡ |
David Rolfe - Wedgewood Partners |
Sell 100.00% |
39,573 |
3.27 |
| Q3 2024 |
| ≡ |
David Rolfe - Wedgewood Partners |
Reduce 1.29% |
516 |
0.04 |
| Q2 2024 |
| ≡ |
David Rolfe - Wedgewood Partners |
Reduce 2.45% |
1,008 |
0.06 |
| Q1 2024 |
| ≡ |
David Rolfe - Wedgewood Partners |
Reduce 3.05% |
1,293 |
0.05 |
| Q4 2023 |
| ≡ |
David Rolfe - Wedgewood Partners |
Reduce 1.49% |
639 |
0.02 |
| Q3 2023 |
| ≡ |
David Rolfe - Wedgewood Partners |
Reduce 29.83% |
18,288 |
0.89 |
| Q2 2023 |
| ≡ |
David Rolfe - Wedgewood Partners |
Reduce 4.16% |
2,664 |
0.06 |
| Q1 2023 |
| ≡ |
David Rolfe - Wedgewood Partners |
Reduce 16.10% |
12,276 |
0.39 |
| Q4 2022 |
| ≡ |
David Rolfe - Wedgewood Partners |
Reduce 19.10% |
18,009 |
0.86 |
| ≡ |
Thomas Gayner - Markel Group |
Sell 100.00% |
71,100 |
0.21 |
| Q3 2022 |
| ≡ |
David Rolfe - Wedgewood Partners |
Reduce 3.39% |
3,303 |
0.12 |
| Q2 2022 |
| ≡ |
David Rolfe - Wedgewood Partners |
Reduce 3.08% |
3,096 |
0.09 |
| Q1 2022 |
| ≡ |
David Rolfe - Wedgewood Partners |
Add 13.77% |
12,186 |
0.26 |
| Q4 2021 |
| ≡ |
David Rolfe - Wedgewood Partners |
Buy |
88,479 |
1.63 |
| ≡ |
Thomas Gayner - Markel Group |
Add 14.49% |
9,000 |
0.01 |
| Q3 2021 |
| ≡ |
Thomas Gayner - Markel Group |
Add 53.33% |
21,600 |
0.04 |
| Q2 2021 |
| ≡ |
Thomas Gayner - Markel Group |
Buy |
40,500 |
0.09 |
| Q3 2012 |
| ≡ |
Thomas Russo - Gardner Russo & Quinn |
Sell 100.00% |
4,050 |
0.00 |
| Q2 2012 |
| ≡ |
Thomas Russo - Gardner Russo & Quinn |
Buy |
4,050 |
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.