AppLovin (APP) Return on Sales [ROS] (2020 - 2026)
AppLovin (APP) posted Return on Sales [ROS] of 78.22% for Q3 2026, up 1.43 percentage points from 76.80% a year earlier and up 0.54 percentage points from the prior quarter.
AppLovin (APP) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at AppLovin was 77.78%, up 5.10 percentage points year-over-year; for FY2025, it came in at 75.75%, up 16.48 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +80.03 percentage points (FY2020 to FY2025).
- In prior years, AppLovin's Return on Sales [ROS] was 59.27% in FY2024 (+17.33 pp), 41.94% in FY2023 (+43.64 pp), -1.70% in FY2022 (-7.07 pp) and 5.37% in FY2021 (+9.65 pp).
- The Q3 2026 figure stands as the highest quarterly Return on Sales [ROS] in data going back to Q1 2020.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last 15 quarters, with an average year-over-year change of +14.86 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2023, with a gain of 45.13 percentage points; the weakest was Q1 2022, with a drop of 22.36 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 77.68% (Q2 2026), 78.15% (Q1 2026) and 76.92% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 31.81% |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 20.10% |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 34.63% |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 5.64% |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 15.18% |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 9.80% |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 78.22% |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 13.52% |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 38.43% |
| 10 | PDD Holdings | 113.02 Bn | -131.03 Bn | 9.48 Bn | 24.71% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 78.22% |
| Jun 30, 2026 | 77.68% |
| Mar 31, 2026 | 78.15% |
| Dec 31, 2025 | 76.92% |
| Sep 30, 2025 | 76.80% |
| Jun 30, 2025 | 76.08% |
| Mar 31, 2025 | 72.48% |
| Dec 31, 2024 | 62.87% |
| Sep 30, 2024 | 63.97% |
| Jun 30, 2024 | 54.07% |
| Mar 31, 2024 | 32.09% |
| Dec 31, 2023 | 41.94% |
| Sep 30, 2023 | 21.56% |
| Jun 30, 2023 | 17.51% |
| Mar 31, 2023 | 8.53% |
| Dec 31, 2022 | -3.19% |
| Sep 30, 2022 | 6.91% |
| Jun 30, 2022 | 6.87% |
| Mar 31, 2022 | -20.46% |
| Dec 31, 2021 | 7.38% |
AppLovin Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=APP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=APP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();