Digital Turbine (APPS) Shares Outstanding (Diluted) (2011 - 2026)
Digital Turbine (APPS) reported Shares Outstanding (Diluted) of 120.47 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 16.1% from 103.75 million a year earlier and unchanged from the prior quarter.
Digital Turbine (APPS) Shares Outstanding (Diluted) (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Digital Turbine's Shares Outstanding (Diluted) record includes 61 quarters.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 4.6% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Diluted) came in at 103.75 million in FY2025 (+2.7%), 100.98 million in FY2024 (-0.8%), 101.82 million in FY2023 (-0.8%) and 102.64 million in FY2022 (+6.7%).
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last eight quarters, with growth averaging 6.5% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was fiscal Q4 2026 (growth of 16.1%); the low point was fiscal Q1 2024 (a decline of 2.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 120.47 million (Q3 2026), 109.13 million (Q2 2026) and 106.63 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 2.57 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 4.26 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 2.40 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 2.05 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 770.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 1.48 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 210.51 Mn |
| 10 | Digital Turbine | 1.33 Bn | 1.18 Bn | - | 120.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 120.47 Mn |
| Dec 31, 2025 | 120.47 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 | 101.82 Mn |
| Dec 31, 2022 | 103.35 Mn |
| Sep 30, 2022 | 102.90 Mn |
| Jun 30, 2022 | 102.69 Mn |
| Mar 31, 2022 | 102.64 Mn |
| Dec 31, 2021 | 103.29 Mn |
| Sep 30, 2021 | 96.16 Mn |
| Jun 30, 2021 | 98.82 Mn |
Digital Turbine Shares Outstanding (Diluted) 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-diluted&ticker=APPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();