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Insider Transactions
| Name | Transaction Date | Sold / Bought | Shares | Price | Value |
|---|---|---|---|---|---|
| Liu Jaclyn | Feb 23, 2026 | Buy | 1,310 | $19.15 | $25,000 |
| Arieli Yaniv | Feb 20, 2026 | Buy | 2,500 | $19.34 | $48,000 |
| Panush Amir | Feb 19, 2026 | Buy | 5,100 | $19.7 | $100,000 |
| SILVER LOUIS | Mar 14, 2025 | Sell | 4,520 | $30.98 | $140,000 |
| SILVER LOUIS | Jun 13, 2024 | Sell | 3,934 | $20.72 | $82,000 |
| SILVER LOUIS | Mar 15, 2024 | Sell | 4,730 | $23.19 | $110,000 |
FAQ - Insider Transactions
The most recent insider transaction for Ceva was conducted by Liu Jaclyn, who sold 1,310 shares on February 23, 2026 at a price of $19.15 per share.
Panush Amir has bought the most CEVA stock in the last 2 years, with a total value of $100,000.
SILVER LOUIS has sold the most CEVA stock in the last 2 years, with a total value of $330,000.
The total value of insider transactions for Ceva in the last 2 years is negative, amounting to -$160,000. This suggests that insiders have predominantly sold shares, which could reflect various personal or financial considerations rather than a straightforward outlook on the company's future performance.
Over the last 2 years, insider transactions for Ceva have been balanced between buying and selling, showing a neutral stance among insiders towards the company's market performance. This trend of more purchases than sales could be a positive signal to potential investors about the insiders' view on the company's valuation and growth potential.
Monitoring insider trading activity is important because it provides insights into the confidence levels of a company's insiders, such as executives and directors, regarding the company's future prospects. Insider buying can signal optimism, suggesting the stock may be undervalued, while insider selling might raise questions about the stock's upcoming performance. However, it's essential to consider that sales can also occur for personal financial reasons. Insider trading activity is a valuable indicator that, when combined with other data, can help inform investment decisions.




