Trump Media & Technology (DJT) Shares Outstanding (Entity) (2021 - 2026)
Trump Media & Technology's Shares Outstanding (Entity) came in at 277.93 million for Q2 2026, up 0.3% from 277.07 million a year earlier and up 0.4% from the prior quarter.
Trump Media & Technology (DJT) Shares Outstanding (Entity) (2021 - 2026) Analysis & Trends
For FY2025, Trump Media & Technology's Shares Outstanding (Entity) was 276.72 million, up 63.1% from FY2024.
- Shares Outstanding (Entity) carries a four-year compound annual growth rate of 65.1% (FY2021 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 169.63 million in FY2024 (+355.9%), 37.21 million in FY2023 (unchanged), 37.21 million in FY2022 (unchanged) and 37.21 million in FY2021.
- The five-year range for quarterly Shares Outstanding (Entity) is 29.99 million (Q3 2023) to 280 million (Q3 2025).
- Year-over-year, Shares Outstanding (Entity) has increased for ten consecutive quarters, with growth averaging 159.8% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in Q3 2024 (growth of 614.8%), and the weakest in Q1 2023 (a decline of 19.3%).
- Business Quant data shows DJT's Shares Outstanding (Entity) at 276.95 million (Q1 2026), 276.72 million (Q4 2025) and 280 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 12.15 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 2.55 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 4.16 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 2.04 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 751.38 Mn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 335.29 Mn |
| 10 | Trump Media & Technology | 2.53 Bn | 2.53 Bn | 1.17 Mn | 277.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 277.93 Mn |
| Mar 31, 2026 | 276.95 Mn |
| Dec 31, 2025 | 276.72 Mn |
| Sep 30, 2025 | 280.00 Mn |
| Jun 30, 2025 | 277.07 Mn |
| Mar 31, 2025 | 220.62 Mn |
| Dec 31, 2024 | 169.63 Mn |
| Sep 30, 2024 | 214.39 Mn |
| Jun 30, 2024 | 191.48 Mn |
| Mar 31, 2024 | 90.74 Mn |
| Dec 31, 2023 | 37.21 Mn |
| Sep 30, 2023 | 29.99 Mn |
| Jun 30, 2023 | 30.02 Mn |
| Mar 31, 2023 | 30.02 Mn |
| Dec 31, 2022 | 37.21 Mn |
| Sep 30, 2022 | 30.03 Mn |
| Jun 30, 2022 | 37.21 Mn |
| Mar 31, 2022 | 37.21 Mn |
| Dec 31, 2021 | 37.21 Mn |
| Sep 30, 2021 | 37.21 Mn |
Trump Media & Technology Shares Outstanding (Entity) 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-entity&ticker=DJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "DJT", "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-entity&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();