Trump Media & Technology (DJT) Selling, General & Administrative (2023 - 2026)
Trump Media & Technology's Selling, General & Administrative came in at $35.94 million for Q2 2026, up 25.6% from $28.62 million a year earlier but down 5.3% from the prior quarter.
Trump Media & Technology (DJT) Selling, General & Administrative (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Trump Media & Technology reported Selling, General & Administrative of $139.21 million, up 31.1% year-over-year; for FY2025, it was $119.13 million, down 8.8% from FY2024.
- Selling, General & Administrative carries a three-year compound annual growth rate of 125.8% (FY2022 to FY2025).
- Going back by year, Selling, General & Administrative was $130.62 million in FY2024, $8.88 million in FY2023 (-14.2%) and $10.35 million in FY2022.
- The five-year range for quarterly Selling, General & Administrative is $1.51 million (Q3 2023) to $64.8 million (Q1 2024).
- Year-over-year, Selling, General & Administrative increased in five of the last seven quarters, with growth averaging 169.0%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2024 (growth of 980.5%), and the weakest in Q1 2025 (a decline of 61.1%).
- Business Quant data shows DJT's Selling, General & Administrative at $37.94 million (Q1 2026), $34.28 million (Q4 2025) and $31.06 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 172.03 Mn |
| 10 | Trump Media & Technology | 2.48 Bn | 2.48 Bn | 1.17 Mn | 35.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.94 Mn |
| Mar 31, 2026 | 37.94 Mn |
| Dec 31, 2025 | 34.28 Mn |
| Sep 30, 2025 | 31.06 Mn |
| Jun 30, 2025 | 28.62 Mn |
| Mar 31, 2025 | 25.18 Mn |
| Dec 31, 2024 | 34.71 Mn |
| Sep 30, 2024 | 17.70 Mn |
| Jun 30, 2024 | 13.42 Mn |
| Mar 31, 2024 | 64.80 Mn |
| Dec 31, 2023 | 3.21 Mn |
| Sep 30, 2023 | 1.51 Mn |
| Jun 30, 2023 | 2.32 Mn |
| Mar 31, 2023 | 1.84 Mn |
Trump Media & Technology Selling, General & Administrative 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=selling-general-and-administrative&ticker=DJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();