AppLovin (APP) Non Operating Interest Expenses (2020 - 2026)
AppLovin (APP) reported Non Operating Interest Expenses of $51.07 million for Q3 2026, down 0.7% from $51.43 million a year earlier and down 0.2% from the prior quarter.
AppLovin (APP) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, AppLovin's Non Operating Interest Expenses came in at $204.67 million, down 18.0% year-over-year; for FY2025, it came in at $207.02 million, down 34.7% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $317.21 million in FY2024 (+16.0%), $273.51 million in FY2023 (+59.1%), $171.86 million in FY2022 (+66.6%) and $103.17 million in FY2021 (+32.5%).
- The Q3 2026 figure ranks as the lowest quarterly Non Operating Interest Expenses since Q2 2023.
- Year over year, Non Operating Interest Expenses has now declined in each of the last seven quarters, with an average decline of 13.2% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2022 (growth of 159.3%); the low point was Q4 2025 (a decline of 45.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $51.16 million (Q2 2026), $51.16 million (Q1 2026) and $51.29 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 184.70 Mn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | -346.00 Mn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 152.00 Mn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 51.07 Mn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | -33.36 Mn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 311.00 Mn |
| 10 | PDD Holdings | 113.02 Bn | -131.03 Bn | 9.48 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 51.07 Mn |
| Jun 30, 2026 | 51.16 Mn |
| Mar 31, 2026 | 51.16 Mn |
| Dec 31, 2025 | 51.29 Mn |
| Sep 30, 2025 | 51.43 Mn |
| Jun 30, 2025 | 51.41 Mn |
| Mar 31, 2025 | 52.89 Mn |
| Dec 31, 2024 | 93.93 Mn |
| Sep 30, 2024 | 74.94 Mn |
| Jun 30, 2024 | 74.42 Mn |
| Mar 31, 2024 | 74.18 Mn |
| Dec 31, 2023 | 69.43 Mn |
| Sep 30, 2023 | 78.58 Mn |
| Jun 30, 2023 | 50.99 Mn |
| Mar 31, 2023 | 74.51 Mn |
| Dec 31, 2022 | 54.72 Mn |
| Sep 30, 2022 | 48.63 Mn |
| Jun 30, 2022 | 36.51 Mn |
| Mar 31, 2022 | 32.01 Mn |
| Dec 31, 2021 | 30.37 Mn |
AppLovin Non Operating Interest 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=non-operating-interest-expenses&ticker=APP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=APP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();