Digital Turbine (APPS) Operating Margin (2010 - 2025)
Digital Turbine (APPS) reported Operating Margin of 14.30% for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 23.77 percentage points from -9.47% a year earlier and up 9.65 percentage points from the prior quarter.
Digital Turbine (APPS) Operating Margin (2010 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Digital Turbine's Operating Margin came in at 2.18%, up 53.93 percentage points year-over-year; for FY2025 (ended Mar 31, 2025), it came in at -11.02%, up 57.75 percentage points from FY2024.
- Operating Margin has a five-year change of -20.55 percentage points (FY2020 to FY2025).
- By fiscal year, Operating Margin came in at -68.77% in FY2024 (-75.70 pp), 6.93% in FY2023 (-5.41 pp), 12.34% in FY2022 (-6.54 pp) and 18.88% in FY2021 (+9.36 pp).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Margin since fiscal Q4 2022.
- Year over year, Operating Margin has now increased in each of the last four quarters, with an average year-over-year change of +16.05 percentage points over the last eight quarters.
- The high point for year-over-year Operating Margin in five years was fiscal Q4 2025 (a gain of 175.39 percentage points); the low point was fiscal Q4 2024 (a drop of 178.67 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 4.65% (Q2 2026), -3.56% (Q1 2026) and -9.81% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 33.38% |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 5.64% |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 13.32% |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 34.00% |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 24.71% |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 77.68% |
| 10 | Digital Turbine | 1.34 Bn | 1.19 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 14.30% |
| Sep 30, 2025 | 4.65% |
| Jun 30, 2025 | -3.56% |
| Mar 31, 2025 | -9.81% |
| Dec 31, 2024 | -9.47% |
| Sep 30, 2024 | -11.41% |
| Jun 30, 2024 | -13.64% |
| Mar 31, 2024 | -185.20% |
| Dec 31, 2023 | -6.50% |
| Sep 30, 2023 | -106.53% |
| Jun 30, 2023 | -3.22% |
| Mar 31, 2023 | -6.53% |
| Dec 31, 2022 | 6.04% |
| Sep 30, 2022 | 12.06% |
| Jun 30, 2022 | 12.95% |
| Mar 31, 2022 | 14.89% |
| Dec 31, 2021 | 13.44% |
| Sep 30, 2021 | 8.77% |
| Jun 30, 2021 | 12.11% |
| Mar 31, 2021 | 16.78% |
Digital Turbine Operating Margin 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=operating-margin&ticker=APPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "APPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-margin&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();