Market research
APP Applovin Corp
NASDAQ USD Communication Services
Latest close
As of 29 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 88B
- P/E ratio
- 20.2
- Analyst target
- 471.6906
- Dividend yield
- Not available
- Beta
- 2.56
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Communication Services
- Industry
- Advertising Agencies
- ISIN
- Not available
- Market cap
- 88B
- P/E ratio
- 20.2
- Analyst target
- 471.6906
- Dividend yield
- Not available
- Beta
- 2.56
About
About Applovin Corp
AppLovin Corporation provides end-to-end artificial intelligence-powered advertising solutions for businesses in the United States and internationally. It operates through two segments, Advertising and Apps. The company offers Axon Ads Manager, a suite of marketing solutions that enables developers to automate, optimize, and manage marketing efforts; MAX, an in-app bidding technology that optimizes the value of a publisher's advertising inventory by running a real-time competitive auction; Adjust, a measurement and analytics marketing platform; and Wurl, a connected TV platform, which distributes streaming video for content companies, provides advertising and publishing solutions. It serves individuals, small and independent businesses, enterprises, advertisers and advertising networks, mobile app publishers, and indie studio developers. The company was incorporated in 2011 and is headquartered in Palo Alto, California.
Research context
Applovin Corp appears in PyInvesting’s US Stock catalogue. The price history above describes this recorded instrument; it does not by itself identify a company’s business or establish a continuous investment return.
- Currency
- USD
- Sector
- Communication Services
- Industry
- Advertising Agencies
These are the latest stored catalogue classifications, not a historical classification snapshot. An issuer description, classification effective date or currency may be unavailable. Check the issuer’s own disclosures and the observation dates before using these fields for research.
Review backtest assumptions and evidence before treating a chart or stored history as a research result.
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