Insufficient Evidence for 30% Long-Term Growth; AppLovin Downgraded to Neutral

Overview

The report reassesses AppLovin's growth drivers after its second-quarter results. BofA believes the company remains a technology leader in mobile app advertising bidding, with the Axon engine and scaled data network forming competitive advantages, but recent growth depends more on proactive model upgrades by engineers rather than the stable self-learning compounding previously broadly assumed by the market. Given that AppLovin's market share may be about twice that of its second-largest competitor, the difficulty of maintaining long-term high growth solely through the existing business and self-learning mechanism is increasing.

Core views

The core debate is whether AppLovin can continue to achieve management's stated long-term revenue growth of about 30%. BofA no longer treats 3% to 5% quarterly self-learning growth as a given and takes a cautious view on whether larger recommendation system models can replicate the scaling laws of large language models. The report therefore lowers forecasts for gaming advertising, e-commerce, and the Consumer business, reducing 2027 revenue and EBITDA growth to about 23% and 22%. However, the company's strong technology capabilities, leading market share, and high profitability limit valuation downside, and BofA maintains its 16x 2027E EV/EBITDA valuation framework.

Analysis framework

The report first decomposes the sources of quarterly growth, distinguishing contributions from model self-learning, engineer-led upgrades, and new business expansion; it then rebuilds 2026 to 2028 revenue, EBITDA, and earnings per share forecasts based on more conservative quarter-on-quarter gaming advertising increments and the pace of mid-market customer onboarding; finally, using large online advertising and social media companies as comparables, it applies a 2027E EV/EBITDA multiple to determine the target price, while separately assessing risks related to market share, model upgrades, e-commerce validation, and mobile platform policies.

Methodology notes

• Operating ForecastGrowth Driver Decomposition

  Decomposes advertising revenue growth into model self-learning, engineer-led improvements, and new business expansion.

  The report no longer directly extrapolates 3% to 5% quarterly self-learning growth, but instead assumes gaming advertising revenue increases by approximately USD 70 million per quarter in 2027, corresponding to about 4% quarterly growth for the full year and implying a smaller compounding effect from technology improvements.

• Valuation methodsEV/EBITDA Comparable Company Valuation

  Estimates AppLovin's equity value based on the trading multiples of large online advertising companies.

  The USD 400 target price is based on 16x 2027E EBITDA. Although earnings forecasts declined, BofA believes market share will not be significantly lost, so it did not further lower the valuation multiple.

• Financial QualityiQmethod

  Uniformly measures a company's financial condition across dimensions such as operating performance, earnings quality, and valuation.

  The report uses standard metrics such as return on capital, return on equity, operating margin, free cash flow, cash realization ratio, net debt-to-equity ratio, and interest coverage ratio for analysis.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• APP.US

  Core research target

  Strengths

  Has a leading mobile advertising network, Axon machine learning capabilities, a data network of more than 8,000 developers, and reach to over 1 billion daily active users; market share, profitability, and free cash flow are all strong.

  Weaknesses

  The revenue base and market share are already relatively high, with continued reliance on self-learning and engineer upgrades to drive high growth; the commercial impact of the new recommendation system models and e-commerce expansion has not yet been fully validated.

  Comparison

  Its technological innovation capabilities can compete with Google and Meta, but in terms of growth maturity and valuation reference, it is gradually moving closer to large mature online advertising platforms.

  Risks

  Failure of self-learning growth to recover, cessation of quarterly model upgrades, market share loss, slower customer onboarding, or changes in mobile platform policies could all lead to forecast cuts.

• META.US

  Competitor and comparable platform

  Strengths

  Has a large advertising platform, extensive user data, and a mature monetization system.

  Weaknesses

  The report does not provide an independent fundamental analysis of it.

  Comparison

  AppLovin has demonstrated strong innovation capabilities in the in-app bidding market, but Meta is more mature in terms of scale, ecosystem, and platform resources.

  Risks

  A significant recovery by Facebook on iOS could weaken AppLovin's competitive position and put pressure on APP's share price.

Key data

• Investment RatingDowngraded from Buy to NeutralThe investment opinion was adjusted from C-1-9 to C-2-9.
• Target PriceLowered from USD 430 to USD 400Based on 16x 2027E EV/EBITDA.
• Reference Share Price and Potential UpsideUSD 339; approximately 18.0%Potential upside is calculated based on the USD 400 target price and the USD 339 reference share price.
• 2027 Revenue ForecastUSD 10.049 billionPreviously USD 10.750 billion; the year-on-year growth forecast was lowered from 31% to approximately 23%.
• 2027 EBITDA ForecastUSD 8.352 billionPreviously approximately USD 9.0 billion; year-on-year growth of approximately 22%.
• 2027 Consumer Revenue Forecastapproximately USD 2.0 billionPreviously approximately USD 2.3 billion; the adjustment reflects a more conservative pace of mid-market customer onboarding.
• 2027 Earnings Per Share ForecastUSD 19.27Previously USD 20.88, below the Visible Alpha consensus estimate of USD 21.21.
• 2028 Revenue ForecastUSD 12.058 billionPreviously USD 13.852 billion.
• 2028 Earnings Per Share ForecastUSD 23.11Previously USD 27.25, below the Visible Alpha consensus estimate of USD 27.03.
• 2026 Operating ForecastRevenue of USD 8.161 billion, EBITDA of USD 6.840 billionCorresponding to year-on-year revenue growth of 40.6% and year-on-year EBITDA growth of 49.4%.
• 2026 Free Cash Flow ForecastUSD 4.916 billionExpected to grow 23.8% year-on-year.

Impact & implications

The rating downgrade means the market may gradually shift from pricing AppLovin as a high-growth technology platform to valuing it as a mature advertising technology platform. In the short term, the USD 400 target price and expectations of stable market share provide some support; whether the share price can regain a higher valuation over the medium to long term depends on whether the company can prove a recovery in self-learning growth, sustainable incremental gains from larger recommendation system models, and successful expansion of the e-commerce business across a broader customer base. If such evidence fails to emerge, earnings forecasts and valuation multiples may remain under pressure.

Risks

• The assumption of achieving 3% to 5% growth per quarter through model self-learning may no longer hold.
• There is still insufficient evidence that larger and more complex recommendation system models can generate significant and lasting revenue improvement.
• AppLovin's existing market share is relatively high, making it more difficult to further increase share and maintain 30% long-term growth.
• The pace of mid-market customer onboarding for the e-commerce and Consumer business may be slower than expected.
• If engineer-led model upgrades are interrupted, quarterly advertising revenue growth may slow significantly.
• Policy adjustments by mobile platform owners could weaken the value proposition of third-party advertising networks.
• A reacceleration of Facebook on iOS could intensify competition and suppress AppLovin's valuation.
• If incremental technology investment exceeds expectations, current margin assumptions may face downward revision.

What to watch

• Whether gaming advertising revenue growth can be sustained in subsequent quarters, and the respective contributions from self-learning and engineer-led upgrades.
• Whether management provides quantitative evidence of a recovery to 3% to 5% quarterly self-learning growth.
• The rollout progress of larger recommendation system models, the magnitude of improvement in ad conversion, and the duration of the effects.
• The pace of e-commerce business onboarding among mid-market customers, retention rates, and revenue contribution.
• Third-quarter performance relative to the midpoint of guidance.
• Whether advertising business market share remains stable, and changes among competitors such as Meta on iOS.
• The impact of new model investments on EBITDA margin and free cash flow.
• Whether the market continues to assign a 16x 2027E EV/EBITDA valuation close to that of large mature online advertising platforms.