Trump Media & Technology (DJT) Operating Margin (2023 - 2026)
Trump Media & Technology (DJT) posted Operating Margin of -9792.42% for Q2 2026, down 4866.80 percentage points from -4925.62% a year earlier but up 23895.36 percentage points from the prior quarter.
Trump Media & Technology (DJT) Operating Margin (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Trump Media & Technology was -20955.80%, down 16863.36 percentage points year-over-year; for FY2025, it came in at -15560.85%, down 10419.95 percentage points from FY2024.
- Annual Operating Margin shows a three-year change of -13979.93 percentage points (FY2022 to FY2025).
- In prior years, Trump Media & Technology's Operating Margin was -5140.90% in FY2024 (-4754.38 pp), -386.52% in FY2023 (+1194.39 pp) and -1580.91% in FY2022.
- Quarterly Operating Margin has run from a low of -43010.58% in Q4 2025 to a high of -282.83% in Q3 2023 over five years.
- On a year-over-year basis, Operating Margin has declined in each of the last five quarters, with an average year-over-year change of -9554.05 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q1 2025, with a gain of 7950.48 percentage points; the weakest was Q4 2025, with a drop of 38475.53 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was -33687.78% (Q1 2026), -43010.58% (Q4 2025) and -5926.45% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 33.38% |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 5.64% |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 13.32% |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 34.00% |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 24.71% |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 77.68% |
| 10 | Trump Media & Technology | 2.53 Bn | 2.53 Bn | 1.17 Mn | -9,792.42% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9,792.42% |
| Mar 31, 2026 | -33,687.78% |
| Dec 31, 2025 | -43,010.58% |
| Sep 30, 2025 | -5,926.45% |
| Jun 30, 2025 | -4,925.62% |
| Mar 31, 2025 | -4,814.30% |
| Dec 31, 2024 | -4,535.04% |
| Sep 30, 2024 | -2,339.96% |
| Jun 30, 2024 | -2,229.48% |
| Mar 31, 2024 | -12,764.78% |
| Dec 31, 2023 | -707.73% |
| Sep 30, 2023 | -282.83% |
| Jun 30, 2023 | -316.49% |
| Mar 31, 2023 | -344.55% |
Trump Media & Technology Operating 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=operating-margin&ticker=DJT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();