Digital Turbine (APPS) Shares Outstanding (2010 - 2026)
Digital Turbine (APPS) reported Weighted Average Shares Outstanding of 120.67 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 13.2% from 106.63 million a year earlier and up 6.9% from the prior quarter.
Digital Turbine (APPS) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Digital Turbine posted Weighted Average Shares Outstanding of 112.92 million, up 8.8% from FY2025.
- Weighted Average Shares Outstanding has increased for 15 consecutive fiscal years, with a five-year compound annual growth rate of 5.0% (FY2021 to FY2026).
- By fiscal year, Weighted Average Shares Outstanding came in at 103.75 million in FY2025 (+2.7%), 100.98 million in FY2024 (+2.2%), 98.78 million in FY2023 (+3.8%) and 95.2 million in FY2022 (+7.6%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to fiscal Q1 2011.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 61 quarters, with growth averaging 6.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 1.7% in fiscal Q2 2024 to 13.2% in fiscal Q1 2027.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 112.92 million (Q4 2026), 115.92 million (Q3 2026) and 109.13 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 12.15 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 2.55 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 4.13 Bn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 2.32 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 1.29 Bn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 2.04 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 333.63 Mn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 205.41 Mn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 750.00 Mn |
| 10 | Digital Turbine | 1.37 Bn | 1.21 Bn | 94.94 Mn | 120.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.67 Mn |
| Mar 31, 2026 | 115.92 Mn |
| Dec 31, 2025 | 115.92 Mn |
| Sep 30, 2025 | 109.13 Mn |
| Jun 30, 2025 | 106.63 Mn |
| Mar 31, 2025 | 103.75 Mn |
| Dec 31, 2024 | 104.15 Mn |
| Sep 30, 2024 | 103.04 Mn |
| Jun 30, 2024 | 102.40 Mn |
| Mar 31, 2024 | 100.98 Mn |
| Dec 31, 2023 | 101.38 Mn |
| Sep 30, 2023 | 100.60 Mn |
| Jun 30, 2023 | 99.88 Mn |
| Mar 31, 2023 | 98.78 Mn |
| Dec 31, 2022 | 99.11 Mn |
| Sep 30, 2022 | 98.89 Mn |
| Jun 30, 2022 | 97.82 Mn |
| Mar 31, 2022 | 95.20 Mn |
| Dec 31, 2021 | 96.55 Mn |
| Sep 30, 2021 | 96.16 Mn |
Digital Turbine Shares Outstanding 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=shares-outstanding&ticker=APPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();