Barclays analyst Raimo Lenschow upgrades $Snowflake (SNOW.US)$ to a buy rating, and maintains the target price at $190.
According to TipRanks data, the analyst has a success rate of 53.2% and a total average return of 4.9% over the past year.
Furthermore, according to the comprehensive report, the opinions of $Snowflake (SNOW.US)$'s main analysts recently are as follows:
The evolving artificial intelligence data landscape is being more effectively addressed by the Snowflake management team, with expectations of visible improvements in product momentum throughout the year. Heading into the fiscal year 2026, Snowflake demonstrates an accelerated introduction of new products, many oriented towards emerging AI trends, which have reached maturity and are generally available, contributing to meaningful growth.
Software is anticipated to outperform in 2025 due to improving fundamentals, optimistic estimate revisions, and moderate multiple expansion throughout the year. Demand trends are expected to improve and enthusiasm around artificial intelligence is likely to surpass the challenges posed by gradually increasing generative AI adoption, elevated capital expenditures, and the continuous debate over scaling laws.
Note:
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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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巴克萊銀行分析師Raimo Lenschow上調$Snowflake (SNOW.US)$至買入評級,維持目標價190美元。
根據TipRanks數據顯示,該分析師近一年總勝率為53.2%,總平均回報率為4.9%。
此外,綜合報道,$Snowflake (SNOW.US)$近期主要分析師觀點如下:
Snowflake管理團隊正在更有效地應對不斷變化的人工智能數據格局,預計全年產品勢頭將明顯改善。進入2026財年,Snowflake展示了新產品的加速推出,其中許多面向新興的人工智能趨勢,這些產品已經成熟並已普遍上市,爲有意義的增長做出了貢獻。
由於基本面改善、樂觀的估計修正以及全年適度的多重擴張,預計軟體將在2025年跑贏大盤。預計需求趨勢將改善,對人工智能的熱情可能會超過生成式人工智能採用率逐漸增加、資本支出增加以及關於擴展法律的持續辯論所帶來的挑戰。
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