Jefferies analyst Brent Thill maintains $Meta Platforms (META.US)$ with a buy rating, and adjusts the target price from $675 to $715.
According to TipRanks data, the analyst has a success rate of 57.3% and a total average return of 8.2% over the past year.
Furthermore, according to the comprehensive report, the opinions of $Meta Platforms (META.US)$'s main analysts recently are as follows:
A more cautious and selective approach to software into 2025 is justified due to a combination of seasonally challenging Q1 and second half weighted share performance in 2024. The acceleration in the latter half of 2025 is anticipated, potentially driven more by AI contributions and positive adjustments based on conservative guidance.
Anticipation is high for a positive performance in the consumer internet sector this year, with a more polarized outcome expected in 2025 as investors tackle discussions on various topics. These include capital expenditure needs, investments in artificial intelligence, diminishing returns on margins, disruptions caused by autonomous vehicles, monetization of AI in both enterprise and consumer segments, and the influence of foreign exchange headwinds.
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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.
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富瑞集團分析師Brent Thill維持$Meta Platforms (META.US)$買入評級，並將目標價從675美元上調至715美元。
根據TipRanks數據顯示，該分析師近一年總勝率為57.3%，總平均回報率為8.2%。
此外，綜合報道，$Meta Platforms (META.US)$近期主要分析師觀點如下：
由於2024年第一季度和下半年的加權股票表現相結合，在2025年之前對軟體採取更加謹慎和選擇性的方法是合理的。預計2025年下半年的加速，這可能更多地是由人工智能的貢獻和基於保守指導的積極調整所推動的。
人們對今年消費Internet Plus-related行業的積極表現寄予厚望，隨着投資者就各種話題展開討論，預計2025年將出現更加兩極分化的結果。其中包括資本支出需求、對人工智能的投資、利潤回報率的減少、自動駕駛汽車造成的干擾、企業和消費領域的人工智能貨幣化以及外匯逆風的影響。
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