Trump Media & Technology (DJT) Return on Capital Employed [ROCE] (2021 - 2026)
Trump Media & Technology (DJT) recorded Return on Capital Employed [ROCE] of -83.47% in Q2 2026, down 76.09 percentage points from -7.38% a year earlier and down 26.54 percentage points from the prior quarter.
Trump Media & Technology (DJT) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Trump Media & Technology reported Return on Capital Employed [ROCE] of -71.28%, down 30.26 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for three straight years, with a three-year change of -62.79 percentage points (FY2022 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -41.02% in FY2024 (-22.59 pp), -18.43% in FY2023 (-9.94 pp) and -8.49% in FY2022.
- The Q2 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] since Q1 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for three consecutive quarters, with an average year-over-year change of +6.13 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 133.50 percentage points in Q1 2025, against a drop of 136.56 percentage points in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -56.92% (Q1 2026), -29.13% (Q4 2025) and -5.78% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 21.49% |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 23.74% |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 30.16% |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 2.77% |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 14.37% |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 13.97% |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 121.68% |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 22.53% |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 19.81% |
| 10 | Trump Media & Technology | 2.48 Bn | 2.48 Bn | 1.17 Mn | -83.47% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -83.47% |
| Mar 31, 2026 | -56.92% |
| Dec 31, 2025 | -29.13% |
| Sep 30, 2025 | -5.78% |
| Jun 30, 2025 | -7.38% |
| Mar 31, 2025 | -14.00% |
| Dec 31, 2024 | -21.37% |
| Sep 30, 2024 | -25.05% |
| Jun 30, 2024 | -41.62% |
| Mar 31, 2024 | -147.50% |
| Dec 31, 2023 | -17.42% |
| Sep 30, 2023 | -17.79% |
| Jun 30, 2023 | -14.01% |
| Mar 31, 2023 | -10.95% |
| Dec 31, 2022 | -8.43% |
| Sep 30, 2022 | 3.46% |
| Jun 30, 2022 | 1.61% |
| Mar 31, 2022 | 0.43% |
| Dec 31, 2021 | -0.67% |
Trump Media & Technology Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=DJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=DJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();