AppLovin (APP) Other Operating Expenses (2020 - 2026)
AppLovin's Other Operating Expenses came in at $170.62 million for Q3 2026, up 84.6% from $92.43 million a year earlier and up 4.5% from the prior quarter.
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Analysis
AppLovin (APP) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, AppLovin reported Other Operating Expenses of $619.77 million, up 32.7% year-over-year; for FY2025, it was $430.16 million, down 31.5% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of -13.6% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $627.57 million in FY2024 (+11.7%), $561.81 million in FY2023 (-60.6%), $1.43 billion in FY2022 (-4.6%) and $1.5 billion in FY2021 (+67.9%).
- The Q3 2026 figure represents the highest quarterly Other Operating Expenses since Q1 2024.
- Year-over-year, Other Operating Expenses has increased for three consecutive quarters, with growth averaging 3.6% over the last seven quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2026 (growth of 84.6%), and the weakest in Q1 2025 (a decline of 69.7%).
- Business Quant data shows APP's Other Operating Expenses at $163.3 million (Q2 2026), $154.86 million (Q1 2026) and $131 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - |
| 10 | PDD Holdings | 111.67 Bn | 111.67 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 309.57 Mn |
| 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 |
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();