BofA Securities analyst Mariana Perez Mora maintains $Palantir (PLTR.US)$ with a buy rating, and adjusts the target price from $50 to $75.
According to TipRanks data, the analyst has a success rate of 78.9% and a total average return of 45.6% over the past year.
Furthermore, according to the comprehensive report, the opinions of $Palantir (PLTR.US)$'s main analysts recently are as follows:
Palantir has showcased its capability to digitize various sectors from financial enterprises to defense systems including missile production, positioning itself as a pivotal player in an era where attributes such as efficiency, innovation, safety, and speed are highly prized. The importance of software, which constitutes 17% of U.S. nonresidential private fixed investments, underscores Palantir's potential dominance as firms increasingly rely on software and AI solutions to enhance margins instead of expanding through fixed assets.
The broader software industry is poised to embrace AI significantly, with expectations that the use cases for AI will proliferate. It is anticipated that enterprise adoption will kick off in earnest by 2025 with the deployment of large language models widely across the industry. Furthermore, the genuine embrace of generative AI is predicted to serve as a key driver for the software sector's growth. This optimism reflects a broader bullish sentiment regarding the upcoming phase of the AI transformation expected to sweep through the software sector by 2025.
Note:
TipRanks, an independent third party, provides analysis data from financial analysts and calculates the Average Returns and Success Rates of the analysts' recommendations. The information presented is not an investment recommendation and is intended for informational purposes only.
Success rate is the number of the analyst's successful ratings, divided by his/her total number of ratings over the past year. A successful rating is one based on if TipRanks' virtual portfolio earned a positive return from the stock. Total average return is the average rate of return that the TipRanks' virtual portfolio has earned over the past year. These portfolios are established based on the analyst's preliminary rating and are adjusted according to the changes in the rating.
TipRanks provides a ranking of each analyst up to 5 stars, which is representative of all recommendations from the analyst. An analyst's past performance is evaluated on a scale of 1 to 5 stars, with more stars indicating better performance. The star level is determined by his/her total success rate and average return.
