Trump Media & Technology (DJT) EBITDA (2023 - 2026)
Trump Media & Technology (DJT) reported EBITDA of -$161.63 million for Q2 2026, compared with -$41.67 million a year earlier.
Trump Media & Technology (DJT) EBITDA (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Trump Media & Technology's EBITDA came in at -$939.45 million; for FY2025, it was -$565.62 million.
- By year, EBITDA came in at -$183.11 million in FY2024, -$15.91 million in FY2023 and -$23.19 million in FY2022.
- Five-year quarterly EBITDA spans a low of -$430.44 million in Q4 2025 and a high of -$3.02 million in Q3 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$291.62 million (Q1 2026), -$430.44 million (Q4 2025) and -$55.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 4.29 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 | 495.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.53 Bn |
| 10 | Trump Media & Technology | 2.53 Bn | 2.53 Bn | 1.17 Mn | -161.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -161.63 Mn |
| Mar 31, 2026 | -291.62 Mn |
| Dec 31, 2025 | -430.44 Mn |
| Sep 30, 2025 | -55.75 Mn |
| Jun 30, 2025 | -41.67 Mn |
| Mar 31, 2025 | -37.76 Mn |
| Dec 31, 2024 | -43.21 Mn |
| Sep 30, 2024 | -22.89 Mn |
| Jun 30, 2024 | -18.65 Mn |
| Mar 31, 2024 | -98.35 Mn |
| Dec 31, 2023 | -5.31 Mn |
| Sep 30, 2023 | -3.02 Mn |
| Jun 30, 2023 | -3.76 Mn |
| Mar 31, 2023 | -3.83 Mn |
Trump Media & Technology EBITDA 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=ebitda&ticker=DJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();