Trump Media & Technology (DJT) Accumulated Expenses (2021 - 2023)
Trump Media & Technology (DJT) reported Accumulated Expenses of $47.1 million for Q4 2023, up 160.9% from $18.05 million a year earlier and up 7.9% from the prior quarter.
Trump Media & Technology (DJT) Accumulated Expenses (2021 - 2023) Analysis & Trends
Dating back to Q4 2021, Trump Media & Technology's Accumulated Expenses record includes 9 quarters.
- By year, Accumulated Expenses came in at $18.05 million in FY2022 and $1.03 million in FY2021.
- The Q4 2023 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2021.
- Year over year, Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 311.6% over the last four quarters.
- Per Business Quant data, the three quarters before Q4 2023 came in at $43.67 million (Q3 2023), $29.59 million (Q2 2023) and $18.52 million (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - |
| 10 | Trump Media & Technology | 1.12 Bn | -1.60 Bn | 1.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 47.10 Mn |
| Sep 30, 2023 | 43.67 Mn |
| Jun 30, 2023 | 29.59 Mn |
| Mar 31, 2023 | 18.52 Mn |
| Dec 31, 2022 | 18.05 Mn |
| Sep 30, 2022 | 10.90 Mn |
| Jun 30, 2022 | 6.58 Mn |
| Mar 31, 2022 | 3.46 Mn |
| Dec 31, 2021 | 1.03 Mn |
Trump Media & Technology Accumulated Expenses 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=accumulated-expenses&ticker=DJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();