Trump Media & Technology (DJT) Research & Development (2023 - 2026)
Trump Media & Technology (DJT) posted Research & Development of $8.21 million for Q2 2026, down 37.1% from $13.04 million a year earlier and down 2.3% from the prior quarter.
Trump Media & Technology (DJT) Research & Development (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Trump Media & Technology was $33.78 million, down 7.9% year-over-year; for FY2025, it came in at $42.77 million, down 12.9% from FY2024.
- Annual Research & Development shows a three-year compound annual growth rate of 46.4% (FY2022 to FY2025).
- In prior years, Trump Media & Technology's Research & Development was $49.1 million in FY2024 (+405.4%), $9.72 million in FY2023 (-28.7%) and $13.63 million in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Research & Development since Q4 2024.
- On a year-over-year basis, Research & Development increased in five of the last eight quarters, with growth averaging 54.6%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q4 2024, with growth of 187.2%; the weakest was Q1 2025, with a decline of 62.1%.
- According to Business Quant data, Research & Development for the three prior quarters was $8.4 million (Q1 2026), $8.87 million (Q4 2025) and $8.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 18.22 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 21.66 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 1.01 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | -3.32 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 445.00 Mn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 1.04 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | - |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | -673.00 Mn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 99.90 Mn |
| 10 | Trump Media & Technology | 2.53 Bn | 2.53 Bn | 1.17 Mn | 8.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.21 Mn |
| Mar 31, 2026 | 8.40 Mn |
| Dec 31, 2025 | 8.87 Mn |
| Sep 30, 2025 | 8.30 Mn |
| Jun 30, 2025 | 13.04 Mn |
| Mar 31, 2025 | 12.56 Mn |
| Dec 31, 2024 | 7.19 Mn |
| Sep 30, 2024 | 3.89 Mn |
| Jun 30, 2024 | 4.86 Mn |
| Mar 31, 2024 | 33.16 Mn |
| Dec 31, 2023 | 2.50 Mn |
| Sep 30, 2023 | 2.20 Mn |
| Jun 30, 2023 | 2.20 Mn |
| Mar 31, 2023 | 2.81 Mn |
Trump Media & Technology Research & Development 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=research-and-development&ticker=DJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();