AppLovin (APP) Other Operating Expenses (2020 - 2026)
AppLovin's Other Operating Expenses came in at $289.2 million for Q2 2026, up 43.2% from $201.99 million a year earlier and up 9.4% from the prior quarter.
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Analysis
AppLovin (APP) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, AppLovin reported Other Operating Expenses of $1.01 billion, up 24.2% year-over-year; for FY2025, it was $868.79 million, up 12.3% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of -7.3% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $773.48 million in FY2024 (+32.3%), $584.64 million in FY2023 (-73.1%), $2.18 billion in FY2022 (+2.7%) and $2.12 billion in FY2021 (+67.3%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses since Q1 2024.
- Year-over-year, Other Operating Expenses has increased for five consecutive quarters, with an average decline of 2.3% over the last seven quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q2 2026 (growth of 43.2%), and the weakest in Q3 2024 (a decline of 61.5%).
- Business Quant data shows APP's Other Operating Expenses at $264.38 million (Q1 2026), $232.31 million (Q4 2025) and $223.43 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn |
| 10 | Spotify Technology | 101.54 Bn | 58.77 Bn | 1.86 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 289.20 Mn |
| Mar 31, 2026 | 264.38 Mn |
| Dec 31, 2025 | 232.31 Mn |
| Sep 30, 2025 | 223.43 Mn |
| Jun 30, 2025 | 201.99 Mn |
| Mar 31, 2025 | 211.06 Mn |
| Dec 31, 2024 | 215.40 Mn |
| Sep 30, 2024 | 183.90 Mn |
| Jun 30, 2024 | 188.72 Mn |
| Mar 31, 2024 | 520.84 Mn |
| Dec 31, 2023 | -808.70 Mn |
| Sep 30, 2023 | 477.40 Mn |
| Jun 30, 2023 | 451.00 Mn |
| Mar 31, 2023 | 464.94 Mn |
| Dec 31, 2022 | 569.90 Mn |
| Sep 30, 2022 | 497.77 Mn |
| Jun 30, 2022 | 536.03 Mn |
| Mar 31, 2022 | 571.91 Mn |
| Dec 31, 2021 | 578.82 Mn |
| Sep 30, 2021 | 539.28 Mn |
API Access
AppLovin Other Operating Expenses 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=other-operating-expenses&ticker=APP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=APP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();