AppLovin (APP) Cost of Revenue (2020 - 2026)
AppLovin (APP) reported Cost of Revenue of $240.77 million for Q3 2026, up 37.7% from $174.86 million a year earlier and up 6.6% from the prior quarter.
AppLovin (APP) Cost of Revenue (2020 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, AppLovin's Cost of Revenue came in at $853.73 million, up 34.4% year-over-year; for FY2025, it was $665.14 million, up 27.8% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $520.61 million in FY2024 (+46.0%), $356.61 million in FY2023 (-71.6%), $1.26 billion in FY2022 (+27.1%) and $988.1 million in FY2021 (+77.8%).
- The Q3 2026 figure ranks as the highest quarterly Cost of Revenue since Q1 2024.
- Year over year, Cost of Revenue has now increased in each of the last six quarters, with growth averaging 23.0% over the last seven quarters.
- The high point for year-over-year Cost of Revenue in five years was Q2 2026 (growth of 45.6%); the low point was Q3 2024 (a decline of 54.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $225.8 million (Q2 2026), $203.63 million (Q1 2026) and $183.53 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 51.42 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 13.37 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 6.08 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 24.48 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 1.96 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 8.35 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 240.77 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 3.83 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | - |
| 10 | PDD Holdings | 116.11 Bn | -127.94 Bn | 9.48 Bn | 7.08 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 240.77 Mn |
| Jun 30, 2026 | 225.80 Mn |
| Mar 31, 2026 | 203.63 Mn |
| Dec 31, 2025 | 183.53 Mn |
| Sep 30, 2025 | 174.86 Mn |
| Jun 30, 2025 | 155.08 Mn |
| Mar 31, 2025 | 151.68 Mn |
| Dec 31, 2024 | 153.39 Mn |
| Sep 30, 2024 | 120.92 Mn |
| Jun 30, 2024 | 121.76 Mn |
| Mar 31, 2024 | 294.15 Mn |
| Dec 31, 2023 | -428.97 Mn |
| Sep 30, 2023 | 265.05 Mn |
| Jun 30, 2023 | 258.58 Mn |
| Mar 31, 2023 | 261.96 Mn |
| Dec 31, 2022 | 369.37 Mn |
| Sep 30, 2022 | 300.99 Mn |
| Jun 30, 2022 | 303.93 Mn |
| Mar 31, 2022 | 281.78 Mn |
| Dec 31, 2021 | 265.13 Mn |
AppLovin Cost of Revenue 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=cost-of-revenue&ticker=APP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=APP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();