Monro Inc. (MNRO)
| Sector: | Consumer Goods |
| Super Investor Stats: | |
| Ownership count: | 0 |
| Ownership rank: | -- |
| % of all portfolios: | 0% |
| History | Portfolio Manager | Activity ▼ | Share change | % change to portfolio | |
| Q4 2023 | |||||
| ≡ | Lee Ainslie - Maverick Capital | Sell 100.00% | 21,085 | 0.01 | |
| Q2 2023 | |||||
| ≡ | Lee Ainslie - Maverick Capital | Reduce 26.88% | 4,660 | 0.00 | |
| Q1 2023 | |||||
| ≡ | Lee Ainslie - Maverick Capital | Reduce 63.76% | 30,511 | 0.04 | |
| Q3 2022 | |||||
| ≡ | Lee Ainslie - Maverick Capital | Sell 100.00% | 48,174 | 0.05 | |
| Q1 2022 | |||||
| ≡ | Meridian Contrarian Fund | Sell 100.00% | 224,000 | 1.90 | |
| Q4 2021 | |||||
| ≡ | Lee Ainslie - Maverick Capital | Sell 100.00% | 2,061 | 0.00 | |
| Q2 2021 | |||||
| ≡ | Lee Ainslie - Maverick Capital | Sell 100.00% | 21,342 | 0.01 | |
| Q1 2021 | |||||
| ≡ | Lee Ainslie - Maverick Capital | Reduce 52.46% | 23,548 | 0.01 | |
| Q2 2020 | |||||
| ≡ | Lee Ainslie - Maverick Capital | Sell 100.00% | 28,374 | 0.03 | |
| Q3 2019 | |||||
| ≡ | Lee Ainslie - Maverick Capital | Reduce 88.19% | 130,006 | 0.15 | |
| Q2 2019 | |||||
| ≡ | Lee Ainslie - Maverick Capital | Reduce 44.84% | 119,820 | 0.15 | |
| Q4 2018 | |||||
| ≡ | Lee Ainslie - Maverick Capital | Reduce 12.66% | 8,712 | 0.01 | |
| Q4 2017 | |||||
| ≡ | Chuck Akre - Akre Capital Management | Sell 100.00% | 1,600,000 | 1.32 | |
| Q3 2017 | |||||
| ≡ | Chuck Akre - Akre Capital Management | Reduce 1.40% | 22,700 | 0.02 | |
| Q2 2015 | |||||
| ≡ | Meridian Contrarian Fund | Sell 100.00% | 111,915 | 1.12 | |
| Q1 2015 | |||||
| ≡ | Meridian Contrarian Fund | Reduce 36.70% | 64,874 | 0.65 | |
| Q4 2014 | |||||
| ≡ | Meridian Contrarian Fund | Reduce 7.00% | 13,311 | 0.12 | |
* "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.