AppLovin (APP) Change in Accrued Expenses (2020 - 2026)
AppLovin (APP) recorded Change in Accrued Expenses of $20.9 million in Q3 2026, down 82.4% from $118.75 million a year earlier.
AppLovin (APP) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, AppLovin's Change in Accrued Expenses came in at -$46.1 million as of Sep 30, 2026; for FY2025, it came in at $268.23 million, up 110.6% from FY2024.
- Annual Change in Accrued Expenses has a five-year compound annual growth rate of 149.3% (FY2020 to FY2025).
- Across earlier years, Change in Accrued Expenses came in at $127.34 million in FY2024 (+19.4%), $106.61 million in FY2023, -$6.41 million in FY2022 and $3.06 million in FY2021 (+10.1%).
- Quarterly Change in Accrued Expenses has ranged from -$307.67 million in Q2 2026 to $182.7 million in Q1 2026 over the past five years.
- On a year-over-year basis, Change in Accrued Expenses rose in two of the last four quarters, with growth averaging 17.4%.
- Per Business Quant, the preceding three quarters came in at -$307.67 million (Q2 2026), $182.7 million (Q1 2026) and $57.97 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | -1.17 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 1.94 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 85.51 Mn |
| 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 | 880.00 Mn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 20.90 Mn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | - |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | -1.61 Bn |
| 10 | PDD Holdings | 113.02 Bn | -131.03 Bn | 9.48 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.90 Mn |
| Jun 30, 2026 | -307.67 Mn |
| Mar 31, 2026 | 182.70 Mn |
| Dec 31, 2025 | 57.97 Mn |
| Sep 30, 2025 | 118.75 Mn |
| Jun 30, 2025 | -12.28 Mn |
| Mar 31, 2025 | 103.79 Mn |
| Dec 31, 2024 | 174.76 Mn |
| Sep 30, 2024 | -6.65 Mn |
| Jun 30, 2024 | -20.86 Mn |
| Mar 31, 2024 | -19.90 Mn |
| Dec 31, 2023 | 72.02 Mn |
| Sep 30, 2023 | 32.63 Mn |
| Jun 30, 2023 | -13.12 Mn |
| Mar 31, 2023 | 15.08 Mn |
| Dec 31, 2022 | -3.77 Mn |
| Sep 30, 2022 | -10.44 Mn |
| Jun 30, 2022 | -13.34 Mn |
| Mar 31, 2022 | 21.14 Mn |
| Dec 31, 2021 | -8.15 Mn |
AppLovin Change in Accrued 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=change-in-accured-expenses&ticker=APP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=APP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();