With 0.7 million shares changed hands, the volume of the stock remained lighter than its average volume of 1.1 million shares. During the session, the Semiconductors company that operates in wider Technology sector, reached to the highest price of $0.369 whereas the lowest price it dropped to was $0.3312. The 52-week range on LAES shows that it touched its highest point at $3.95 and its lowest point at $0.29 during that stretch. It currently has a 1-year price target of $1.75. Beta for the stock currently stands at 3.21.
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Price Performance and Earnings:
Stock performance is one of the indicators that investors use to determine whether they will profit from a stock. The price performance of LAES was down-trending over the past week, with a drop of -3.96%, but this was down by -14.27% over a month. Three-month performance dropped to -5.00% while six-month performance fell -69.40%. The stock lost -71.34% in the past year, while it has lost -71.79% so far this year.
Float and Shares Shorts:
At present, 28.43 million LAES shares are outstanding with a float of 16.46 million shares on hand for trading. On 2024-10-31, short shares totaled 1.81 million, which was 612.0 higher than short shares on 1727654400. In addition to Mr. Carlos Creus Moreira as the firm’s Chairman of the Board of Directors & CEO, Mr. John O’Hara serves as its CFO & Executive Director.
Institutional Ownership:
Through their ownership of 0.026029998 of LAES’s outstanding shares, institutional investors have minority control over the company.
Analysts Ratings:
In the same way, a target price assigned to a stock can also reveal much about its potential. With LAES analysts setting a high price target of 1.75 and a low target of 1.75, the average target price over the next 12 months is 1.75. Based on these targets, LAES could surge 386.11% to reach the target high and rise by 386.11% to reach the target low. Reaching the average price target will result in a growth of 386.11% from current levels.
Analysts have provided yearly estimates in a range of $0 being high and $0 being low. For LAES, this leads to a yearly average estimate of $0. Based on analyst estimates, the high estimate for the next quarter is $0 and the low estimate is $0. The average estimate for the next quarter is thus $0.
