AppLovin (APP) Non Operating Interest Expenses (2020 - 2026)
AppLovin (APP) reported Non Operating Interest Expenses of $51.16 million for Q2 2026, down 0.5% from $51.41 million a year earlier and unchanged from the prior quarter.
AppLovin (APP) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, AppLovin's Non Operating Interest Expenses came in at $205.03 million, down 24.9% 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 Q2 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 six quarters, with an average decline of 13.7% 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 Q2 2026 came in at $51.16 million (Q1 2026), $51.29 million (Q4 2025) and $51.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,973.56 Bn | 3,731.09 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,658.40 Bn | 1,360.92 Bn | 49.47 Bn | - |
| 3 | Netflix | 279.05 Bn | 239.25 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 237.37 Bn | 51.14 Bn | 15.11 Bn | -346.00 Mn |
| 5 | Shopify | 221.61 Bn | 198.80 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 138.92 Bn | 110.72 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 125.04 Bn | 58.09 Bn | - | 300.00 Mn |
| 8 | Spotify Technology | 116.70 Bn | 74.20 Bn | 1.86 Bn | -24.41 Mn |
| 9 | PDD Holdings | 110.60 Bn | -133.17 Bn | 9.45 Bn | - |
| 10 | AppLovin | 89.09 Bn | 79.12 Bn | 1.70 Bn | 51.16 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 18.76 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();