AppLovin (APP) Shares Outstanding (2019 - 2026)
AppLovin's Weighted Average Shares Outstanding was 333.63 million in Q3 2026, down 1.4% from 338.53 million a year earlier and down 0.6% from the prior quarter.
AppLovin (APP) Shares Outstanding (2019 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at AppLovin came in at 338.78 million, up 0.6% from FY2024.
- Weighted Average Shares Outstanding shows a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 336.92 million in FY2024 (-4.3%), 351.95 million in FY2023 (-5.3%), 371.57 million in FY2022 (+14.4%) and 324.84 million in FY2021 (+51.1%).
- The Q3 2026 figure marks the lowest quarterly Weighted Average Shares Outstanding since Q4 2021.
- Compared with a year earlier, Weighted Average Shares Outstanding has declined for three straight quarters, with an average decline of 0.5% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q1 2022 (growth of 67.2%); the worst was Q1 2024 (a decline of 10.0%).
- Per Business Quant data, APP's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 335.8 million (Q2 2026), 337.4 million (Q1 2026) and 338.78 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 12.26 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 2.55 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 4.13 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | 2.32 Bn |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 1.29 Bn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 2.04 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 333.63 Mn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | 205.41 Mn |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | 750.00 Mn |
| 10 | PDD Holdings | 111.67 Bn | 111.67 Bn | - | 1.40 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 333.63 Mn |
| Jun 30, 2026 | 335.80 Mn |
| Mar 31, 2026 | 337.40 Mn |
| Dec 31, 2025 | 338.78 Mn |
| Sep 30, 2025 | 338.53 Mn |
| Jun 30, 2025 | 338.62 Mn |
| Mar 31, 2025 | 339.84 Mn |
| Dec 31, 2024 | 336.92 Mn |
| Sep 30, 2024 | 336.93 Mn |
| Jun 30, 2024 | 335.68 Mn |
| Mar 31, 2024 | 335.79 Mn |
| Dec 31, 2023 | 351.95 Mn |
| Sep 30, 2023 | 341.44 Mn |
| Jun 30, 2023 | 356.96 Mn |
| Mar 31, 2023 | 373.16 Mn |
| Dec 31, 2022 | 371.57 Mn |
| Sep 30, 2022 | 369.39 Mn |
| Jun 30, 2022 | 373.91 Mn |
| Mar 31, 2022 | 371.97 Mn |
| Dec 31, 2021 | 324.84 Mn |
AppLovin Shares Outstanding API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding&ticker=APP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "APP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=APP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();