Trump Media & Technology (DJT) Shares Outstanding (Diluted) (2021 - 2026)
Trump Media & Technology (DJT) reported Shares Outstanding (Diluted) of 277.28 million for Q2 2026, up 15.3% from 240.51 million a year earlier and up 0.2% from the prior quarter.
Trump Media & Technology (DJT) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Trump Media & Technology posted Shares Outstanding (Diluted) of 254.54 million, up 50.1% from FY2024.
- Shares Outstanding (Diluted) has a four-year compound annual growth rate of 97.9% (FY2021 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 169.63 million in FY2024 (+465.1%), 30.02 million in FY2023 (-19.3%), 37.21 million in FY2022 (+124.3%) and 16.59 million in FY2021.
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 14.45 million in Q3 2021 and a high of 277.88 million in Q3 2025.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last ten quarters, with growth averaging 152.7% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q4 2024 (growth of 465.1%); the low point was Q4 2023 (a decline of 19.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 276.74 million (Q1 2026), 254.54 million (Q4 2025) and 277.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 2.57 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 4.26 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 2.40 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 2.05 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 770.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 1.48 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 210.51 Mn |
| 10 | Trump Media & Technology | 2.48 Bn | 2.48 Bn | 1.17 Mn | 277.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 277.28 Mn |
| Mar 31, 2026 | 276.74 Mn |
| Dec 31, 2025 | 254.54 Mn |
| Sep 30, 2025 | 277.88 Mn |
| Jun 30, 2025 | 240.51 Mn |
| Mar 31, 2025 | 220.58 Mn |
| Dec 31, 2024 | 169.63 Mn |
| Sep 30, 2024 | 200.83 Mn |
| Jun 30, 2024 | 166.73 Mn |
| Mar 31, 2024 | 90.74 Mn |
| Dec 31, 2023 | 30.02 Mn |
| Sep 30, 2023 | 37.19 Mn |
| Jun 30, 2023 | 37.21 Mn |
| Mar 31, 2023 | 37.21 Mn |
| Dec 31, 2022 | 37.21 Mn |
| Sep 30, 2022 | 37.21 Mn |
| Jun 30, 2022 | 37.21 Mn |
| Mar 31, 2022 | 37.21 Mn |
| Dec 31, 2021 | 16.59 Mn |
| Sep 30, 2021 | 14.45 Mn |
Trump Media & Technology 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=DJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();