Earnings Alerts

AppLovin (APP) Earnings Surpass Expectations with Strong 4Q EPS and Revenue Growth

By February 13, 2025 No Comments
  • AppLovin reported fourth-quarter earnings per share (EPS) of $1.73, exceeding the estimated EPS of $1.26.
  • Revenue for the quarter was reported at $1.37 billion, surpassing the expected $1.26 billion.
  • The adjusted EBITDA came in at $848.0 million, above the forecasted $762.5 million.
  • Net income was reported at $599.2 million, significantly higher than the estimated $438.5 million.
  • As a result, AppLovin’s shares rose by 4% in post-market trading, reaching $395.45.
  • The trading volume in post-market was 7,504 shares.
  • Analyst ratings include 21 buys, 6 holds, and no sells.

AppLovin on Smartkarma

Analysts on Smartkarma are bullish on AppLovin, a mobile technology company in the gaming industry that is experiencing significant growth and transformation. According to the Value Investors Club report published three months ago, the company’s software platform, powered by its AI-based recommendation engine AXON, drives the majority of its revenue and EBITDA. This platform assists advertisers in automating marketing efforts, engaging users, and optimizing app monetization, leading to expected strong revenue and FCF growth in the future.

Baptista Research‘s analysis highlights that in the third quarter ending September 2024, AppLovin reported robust financial metrics with total revenue reaching $1.2 billion, indicating a 39% year-over-year increase. The adjusted EBITDA surged to $722 million, marking a 72% rise from the same period last year and achieving a 60% adjusted EBITDA margin. These positive figures suggest a promising future for AppLovin as it expands into e-commerce as a strategic growth enabler, as analyzed by Baptista Research.


A look at AppLovin Smart Scores

FactorScoreMagnitude
Value2
Dividend1
Growth5
Resilience2
Momentum5
OVERALL SMART SCORE3.0

Smart Score is a compound score for the Company indicating its overall outlook. It is derived by taking an equally weighted average of underlying Factor scores computed by Smartkarma

AppLovin’s long-term outlook appears promising as indicated by its Smartkarma Smart Scores. With a strong focus on growth and momentum, the company is positioned well for future expansion and market success. The high scores in these categories suggest that AppLovin has the potential for robust advancement and continued profitability, making it an attractive prospect for investors looking for companies with positive growth trajectories. Additionally, the company’s commitment to using machine learning for data-driven marketing decisions showcases its innovative approach to staying competitive in the dynamic tech landscape.

Despite some lower scores in areas such as value and dividend, AppLovin’s overall outlook seems bright due to its solid foundation in growth and momentum. By leveraging its strengths in these key areas, AppLovin is poised to maintain its position as a leading provider of software solutions that help optimize monetization for clients worldwide. Investors may find AppLovin a compelling choice for long-term investment opportunities based on its strong Smartkarma Smart Scores and strategic focus on growth and resilience in the market.


Disclaimer: This article by Smartkarma is general in nature and based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. Note that our articles may not factor in the latest price-sensitive company announcements or qualitative material.
While all reasonable care has been taken in the preparation, Smartkarma makes no assurance about the accuracy of any generated data or content. All content is indicative only and should be independently checked for accuracy and confirmed before use. Smartkarma accepts no responsibility for any loss or damage caused as a result of any inaccuracy or error within the Lab online tools or generated data.
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