Applovin业绩数据显示，截至6月30日的季度，专注于APP营销软件的数字广告营销平台Applovin报告调整后的每股收益为2.39美元，而华尔街分析师们平均 预期约2.32美元。按美国通用会计准则(GAAP)计算的每股收益为2.28 美元，也高于1.98美元的华尔街平均预期。GAAP准则下，Applovin第二季度净利润高 达8.20亿美元，实现164%猛烈增幅。 更重要的是，Applovin第二季度营收总计实现12.6亿美元，超越华尔街平均预期的约12.2 亿美元，实现同比增长17%。如果不计入该公司已经出售的游戏业 务，AppLovin凭借强劲的广告业务在第二季度的整体销售额则实现同比大幅增长77%。该公司Q2调整后的EBITDA实现10.18亿美元，同比大幅增长99%。 | (In millions, except percentages) Quarter Ended June 30, | | | | | Six Months Ende | | | --- | --- | --- | --- | --- | --- | --- | | | | 2025 | 2024 | % Change | 20 ...

Group 1 - UBS highlights the upcoming earnings season for small and mid-cap companies focused on AI application software, recommending increased allocation to Applovin (APP.US) and The Trade Desk (TTD.US) as leaders in the "AI + digital advertising" segment [1][2] - The report emphasizes that small-cap stocks are currently more attractive compared to large-cap stocks, with the Russell 2000 index's expected P/E ratio around 15x, below historical averages [2][3] - UBS expects several small-cap AI application software companies to provide positive earnings guidance, with Applovin and The Trade Desk anticipated to exceed market expectations for Q3 [3][4] Group 2 - The integration of AI in digital advertising has accelerated since the rise of ChatGPT, with major players like Google and Meta incorporating generative AI technologies to enhance ad performance [4][5] - UBS notes that the shift in focus from hardware to software in tech investments is benefiting companies like Applovin and The Trade Desk, as demand for AI application software continues to grow [5][6] - UBS maintains an optimistic outlook on Applovin's performance, raising its Q2 2025 revenue forecast to $867 million, reflecting positive trends from App Store advertising policies and strong growth in its self-operated app business [7][8] Group 3 - The Trade Desk is also viewed positively by UBS, with expectations for steady growth in Q2, driven by its "AI + digital advertising" platform and upcoming events that could catalyze further performance [7][8] - Both companies have successfully integrated generative AI and deep learning into their advertising technologies, leading to significant revenue growth and improved operational efficiency [8]