TSHA Taysha Gene Therapies, Inc.
Taysha Gene Therapies, Inc. (TSHA) Insider Activity
What the officers, directors and large holders did with their own shares. Only open-market purchases and sales count toward the totals — grants, option exercises and shares withheld for tax are compensation mechanics, not decisions, and they're listed separately below.
How much of that selling was preplanned? 46% planned / 54% discretionary
Largest single sale: $1.2M.
Where they traded
No open-market insider purchase on record.
Recent open-market activity
| Date | Insider | Role | Action | Shares | Price | Value | Held after |
|---|---|---|---|---|---|---|---|
| Nagendran Sukumar | President and Head of R&D | Sell 10b5-1 | 200,000 | $6.24 | $1.2M | 936,410 −17.6% of holding | |
| Nagendran Sukumar | President and Head of R&D | Sell 10b5-1 | 200,000 | $4.46 | $892.0K | 1,136,410 −15% of holding | |
| Alam Kamran | CHIEF FINANCIAL OFFICER | Sell | 1,655 | $4.52 | $7.5K | 1,442,131 −0.1% of holding | |
| Nolan Sean P. | Chief Executive Officer | Sell | 41,312 | $4.61 | $190.4K | 2,908,257 −1.4% of holding | |
| Nagendran Sukumar | President and Head of R&D | Sell | 26,918 | $4.61 | $124.1K | 1,317,389 −2% of holding | |
| Alam Kamran | CHIEF FINANCIAL OFFICER | Sell | 23,849 | $4.61 | $109.9K | 1,443,786 −1.6% of holding | |
| Nolan Sean P. | Chief Executive Officer | Sell | 136,789 | $4.75 | $649.7K | 2,949,569 −4.4% of holding | |
| Nagendran Sukumar | President and Head of R&D | Sell | 89,132 | $4.75 | $423.4K | 1,344,307 −6.2% of holding | |
| Alam Kamran | CHIEF FINANCIAL OFFICER | Sell | 78,968 | $4.75 | $375.1K | 1,467,635 −5.1% of holding | |
| Nagendran Sukumar | President and Head of R&D | Sell 10b5-1 | 200,000 | $4.71 | $942.0K | 1,006,439 −16.6% of holding | |
| Nagendran Sukumar | President and Head of R&D | Sell | 260,047 | $4.51 | $1.2M | 1,006,439 −20.5% of holding | |
| Nagendran Sukumar | President and Head of R&D | Sell | 110,125 | $4.75 | $523.1K | 1,006,439 −9.9% of holding |
Form 4s are due within two business days of a transaction, so this is close to real time — unlike the quarterly 13F data on the Institutional tab. A single large sale often reflects a prearranged 10b5-1 plan rather than a fresh view, so read a pattern of sales rather than any one of them.