AppLovin (APP) Accumulated Expenses (2020 - 2026)
AppLovin (APP) posted Accumulated Expenses of $661.18 million for Q3 2026, up 29.4% from $510.95 million a year earlier and up 39.2% from the prior quarter.
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Analysis
AppLovin (APP) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, AppLovin's Accumulated Expenses came in at $586.81 million, up 46.1% from FY2024.
- Annual Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 43.9% (FY2020 to FY2025).
- In prior years, AppLovin's Accumulated Expenses was $401.53 million in FY2024 (+51.4%), $265.26 million in FY2023 (+79.5%), $147.8 million in FY2022 (+10.5%) and $133.77 million in FY2021 (+40.7%).
- Quarterly Accumulated Expenses has run from a low of $133.77 million in Q4 2021 to a high of $796.86 million in Q1 2026 over five years.
- On a year-over-year basis, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 63.4%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2025, with growth of 113.1%; the weakest was Q2 2026, with a decline of 4.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $475.02 million (Q2 2026), $796.86 million (Q1 2026) and $586.81 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - |
| 10 | PDD Holdings | 113.02 Bn | -131.03 Bn | 9.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 661.18 Mn |
| Jun 30, 2026 | 475.02 Mn |
| Mar 31, 2026 | 796.86 Mn |
| Dec 31, 2025 | 586.81 Mn |
| Sep 30, 2025 | 510.95 Mn |
| Jun 30, 2025 | 495.22 Mn |
| Mar 31, 2025 | 541.38 Mn |
| Dec 31, 2024 | 401.53 Mn |
| Sep 30, 2024 | 240.28 Mn |
| Jun 30, 2024 | 232.33 Mn |
| Mar 31, 2024 | 256.40 Mn |
| Dec 31, 2023 | 265.26 Mn |
| Sep 30, 2023 | 181.68 Mn |
| Jun 30, 2023 | 159.16 Mn |
| Mar 31, 2023 | 165.58 Mn |
| Dec 31, 2022 | 147.80 Mn |
| Sep 30, 2022 | 137.28 Mn |
| Jun 30, 2022 | 162.98 Mn |
| Mar 31, 2022 | 160.42 Mn |
| Dec 31, 2021 | 133.77 Mn |
API Access
AppLovin Accumulated 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=accumulated-expenses&ticker=APP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=APP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();