Datacentrex (DTCX) Return on Capital Employed [ROCE] (2022 - 2025)
Datacentrex's Return on Capital Employed [ROCE] was -13.50% in Q4 2025, up 149.10 percentage points from -162.60% a year earlier and up 49.88 percentage points from the prior quarter.
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Analysis
Datacentrex (DTCX) Return on Capital Employed [ROCE] (2022 - 2025) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Datacentrex came in at -22.38%, up 140.43 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a four-year change of +1161.65 percentage points (FY2021 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -162.81% in FY2024 (+186.02 pp), -348.83% in FY2023 (-61.07 pp), -287.76% in FY2022 (+896.27 pp) and -1184.03% in FY2021.
- The Q4 2025 figure marks the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2022.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for six straight quarters, with an average year-over-year change of +326.44 percentage points over the last seven quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2024 (a gain of 772.88 percentage points); the worst was Q4 2023 (a drop of 787.74 percentage points).
- Per Business Quant data, DTCX's Return on Capital Employed [ROCE] in the three quarters before Q4 2025 was -63.38% (Q3 2025), -307.16% (Q2 2025) and -142.49% (Q1 2025).
Peer Set
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 | Datacentrex | 72.55 Mn | 72.55 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -13.50% |
| Sep 30, 2025 | -63.38% |
| Jun 30, 2025 | -307.16% |
| Mar 31, 2025 | -142.49% |
| Dec 31, 2024 | -162.60% |
| Sep 30, 2024 | -486.34% |
| Jun 30, 2024 | -369.43% |
| Mar 31, 2024 | -514.38% |
| Dec 31, 2023 | -935.48% |
| Sep 30, 2023 | -990.24% |
| Mar 31, 2023 | -516.45% |
| Dec 31, 2022 | -147.73% |
API Access
Datacentrex 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=DTCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DTCX", "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=DTCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();