AppLovin (APP) Selling, General & Administrative (2020 - 2026)
AppLovin's Selling, General & Administrative was $40.31 million in Q2 2026, down 26.8% from $55.05 million a year earlier and down 8.4% from the prior quarter.
AppLovin (APP) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, AppLovin's Selling, General & Administrative was $211.27 million through Jun 30, 2026, up 9.7% year-over-year; for FY2025, it was $233.5 million, up 41.6% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 28.6% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $164.92 million in FY2024 (+9.3%), $150.93 million in FY2023 (-16.9%), $181.63 million in FY2022 (+14.4%) and $158.7 million in FY2021 (+138.9%).
- The Q2 2026 figure marks the lowest quarterly Selling, General & Administrative since Q3 2024.
- Compared with a year earlier, Selling, General & Administrative was higher in five of the last eight quarters, with growth averaging 19.1%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2021 (growth of 123.3%); the worst was Q2 2023 (a decline of 33.5%).
- Per Business Quant data, APP's Selling, General & Administrative in the three quarters before Q2 2026 was $44.03 million (Q1 2026), $68.18 million (Q4 2025) and $58.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,915.72 Bn | 3,673.25 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,637.70 Bn | 1,340.22 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 275.36 Bn | 236.65 Bn | 6.80 Bn | 466.37 Mn |
| 4 | Alibaba Group Holding | 235.65 Bn | 49.43 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 218.37 Bn | 195.56 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 139.71 Bn | 111.50 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 123.83 Bn | 56.88 Bn | - | 217.00 Mn |
| 8 | Spotify Technology | 119.88 Bn | 77.38 Bn | 1.86 Bn | 172.03 Mn |
| 9 | PDD Holdings | 110.41 Bn | -133.37 Bn | 9.45 Bn | -345.00 Mn |
| 10 | AppLovin | 88.25 Bn | 78.29 Bn | 1.70 Bn | 40.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.31 Mn |
| Mar 31, 2026 | 44.03 Mn |
| Dec 31, 2025 | 68.18 Mn |
| Sep 30, 2025 | 58.76 Mn |
| Jun 30, 2025 | 55.05 Mn |
| Mar 31, 2025 | 51.52 Mn |
| Dec 31, 2024 | 49.89 Mn |
| Sep 30, 2024 | 36.21 Mn |
| Jun 30, 2024 | 38.75 Mn |
| Mar 31, 2024 | 42.40 Mn |
| Dec 31, 2023 | 34.70 Mn |
| Sep 30, 2023 | 41.25 Mn |
| Jun 30, 2023 | 30.41 Mn |
| Mar 31, 2023 | 44.57 Mn |
| Dec 31, 2022 | 36.64 Mn |
| Sep 30, 2022 | 44.00 Mn |
| Jun 30, 2022 | 45.74 Mn |
| Mar 31, 2022 | 55.25 Mn |
| Dec 31, 2021 | 36.58 Mn |
| Sep 30, 2021 | 34.10 Mn |
AppLovin Selling, General & Administrative 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=selling-general-and-administrative&ticker=APP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=APP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();