Trump Media & Technology (DJT) Net Margin (2023 - 2026)
Trump Media & Technology (DJT) reported Net Margin of -14256.21% for Q2 2026, down 11993.98 percentage points from -2262.23% a year earlier but up 32324.77 percentage points from the prior quarter.
Trump Media & Technology (DJT) Net Margin (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Trump Media & Technology's Net Margin came in at -28860.41%, down 25937.67 percentage points year-over-year; for FY2025, it came in at -19335.83%, down 8258.55 percentage points from FY2024.
- Net Margin has declined for three consecutive years, with a three-year change of -22771.65 percentage points (FY2022 to FY2025).
- By year, Net Margin came in at -11077.29% in FY2024 (-9668.72 pp), -1408.56% in FY2023 (-4844.38 pp) and 3435.82% in FY2022.
- Five-year quarterly Net Margin spans a low of -60241.19% in Q4 2025 and a high of -18.84% in Q1 2023.
- Year over year, Net Margin has now declined in each of the last five quarters, with an average year-over-year change of -9823.37 percentage points over the last eight quarters.
- The high point for year-over-year Net Margin in five years was Q1 2025 (a gain of 38654.36 percentage points); the low point was Q4 2025 (a drop of 56478.20 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -46580.98% (Q1 2026), -60241.19% (Q4 2025) and -5633.48% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 93.58% |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 26.07% |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 27.08% |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 3.92% |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 41.92% |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 16.87% |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 26.52% |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 24.19% |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 65.84% |
| 10 | Trump Media & Technology | 2.53 Bn | 2.53 Bn | 1.17 Mn | -14,256.21% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -14,256.21% |
| Mar 31, 2026 | -46,580.98% |
| Dec 31, 2025 | -60,241.19% |
| Sep 30, 2025 | -5,633.48% |
| Jun 30, 2025 | -2,262.23% |
| Mar 31, 2025 | -3,863.44% |
| Dec 31, 2024 | -3,762.99% |
| Sep 30, 2024 | -1,904.09% |
| Jun 30, 2024 | -1,955.79% |
| Mar 31, 2024 | -42,517.81% |
| Dec 31, 2023 | -1,221.28% |
| Sep 30, 2023 | -2,430.05% |
| Jun 30, 2023 | -1,909.92% |
| Mar 31, 2023 | -18.84% |
Trump Media & Technology Net Margin 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=net-margin&ticker=DJT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();