AppLovin (APP) Income Taxes Paid (2020 - 2026)
AppLovin (APP) reported Income Taxes Paid of $286.33 million for Q3 2026, up 329.5% from $66.67 million a year earlier but down 46.3% from the prior quarter.
AppLovin (APP) Income Taxes Paid (2020 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, AppLovin's Income Taxes Paid came in at $953.7 million, up 451.9% year-over-year; for FY2025, it was $194.84 million, up 189.4% from FY2024.
- Income Taxes Paid has a five-year compound annual growth rate of 72.7% (FY2020 to FY2025).
- By year, Income Taxes Paid came in at $67.33 million in FY2024 (-10.7%), $75.43 million in FY2023 (-12.6%), $86.26 million in FY2022 (-4.8%) and $90.62 million in FY2021 (+615.4%).
- Five-year quarterly Income Taxes Paid spans a low of $1.82 million in Q1 2023 and a high of $533.14 million in Q2 2026.
- Year over year, Income Taxes Paid gained in six of the last seven quarters, with growth averaging 215.9%.
- The high point for year-over-year Income Taxes Paid in five years was Q2 2024 (growth of 484.7%); the low point was Q4 2024 (a decline of 91.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $533.14 million (Q2 2026), $106.68 million (Q1 2026) and $27.55 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,624.96 Bn | 3,359.86 Bn | 76.16 Bn | - |
| 2 | Meta Platforms | 1,640.16 Bn | 1,304.68 Bn | 51.23 Bn | 927.00 Mn |
| 3 | Netflix | 255.21 Bn | 216.51 Bn | 6.80 Bn | - |
| 4 | Alibaba Group Holding | 219.23 Bn | 41.30 Bn | 15.16 Bn | - |
| 5 | Shopify | 189.29 Bn | 174.44 Bn | 1.78 Bn | 70.00 Mn |
| 6 | Uber Technologies | 142.08 Bn | 113.28 Bn | 6.42 Bn | 166.00 Mn |
| 7 | AppLovin | 135.54 Bn | 124.07 Bn | 1.94 Bn | 286.33 Mn |
| 8 | Spotify Technology | 126.14 Bn | 83.06 Bn | 1.89 Bn | -86.28 Mn |
| 9 | Booking Holdings | 119.69 Bn | 53.43 Bn | - | - |
| 10 | PDD Holdings | 112.41 Bn | -131.65 Bn | 9.48 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 286.33 Mn |
| Jun 30, 2026 | 533.14 Mn |
| Mar 31, 2026 | 106.68 Mn |
| Dec 31, 2025 | 27.55 Mn |
| Sep 30, 2025 | 66.67 Mn |
| Jun 30, 2025 | 95.02 Mn |
| Mar 31, 2025 | 5.60 Mn |
| Dec 31, 2024 | 5.51 Mn |
| Sep 30, 2024 | 29.06 Mn |
| Jun 30, 2024 | 29.19 Mn |
| Mar 31, 2024 | 3.58 Mn |
| Dec 31, 2023 | 62.68 Mn |
| Sep 30, 2023 | 5.94 Mn |
| Jun 30, 2023 | 4.99 Mn |
| Mar 31, 2023 | 1.82 Mn |
| Dec 31, 2022 | 27.49 Mn |
| Sep 30, 2022 | 39.24 Mn |
| Jun 30, 2022 | 15.12 Mn |
| Mar 31, 2022 | 4.41 Mn |
| Dec 31, 2021 | 18.43 Mn |
AppLovin Income Taxes Paid 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=income-taxes-paid&ticker=APP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=APP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();