Datacentrex (DTCX) Return on Assets [ROA] (2021 - 2026)
Datacentrex's Return on Assets [ROA] was -14.35% in Q4 2025, up 130.47 percentage points from -144.82% a year earlier and up 46.40 percentage points from the prior quarter.
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Analysis
Datacentrex (DTCX) Return on Assets [ROA] (2021 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at Datacentrex came in at -23.64%, up 121.35 percentage points from FY2024.
- Return on Assets [ROA] shows a four-year change of +244.06 percentage points (FY2021 to FY2025).
- In earlier years, Return on Assets [ROA] was -144.99% in FY2024 (+276.87 pp), -421.85% in FY2023 (-232.58 pp), -189.27% in FY2022 (+78.42 pp) and -267.69% in FY2021.
- The Q4 2025 figure marks the highest quarterly Return on Assets [ROA] in data going back to Q4 2022.
- Compared with a year earlier, Return on Assets [ROA] has increased for seven straight quarters, with an average year-over-year change of +282.69 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q4 2024 (a gain of 847.06 percentage points); the worst was Q4 2023 (a drop of 865.84 percentage points).
- Per Business Quant data, DTCX's Return on Assets [ROA] in the three quarters before Q4 2025 was -60.75% (Q3 2025), -223.81% (Q2 2025) and -140.23% (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 24.48% |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 16.20% |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 25.21% |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 3.56% |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 14.56% |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 5.24% |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 59.50% |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 21.55% |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 24.77% |
| 10 | Datacentrex | 44.31 Mn | -116.51 Mn | 79,536.00 | -26.22% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -26.22% |
| Jun 30, 2026 | -23.71% |
| Mar 31, 2026 | -19.16% |
| Dec 31, 2025 | -13.78% |
| Sep 30, 2025 | -21.14% |
| Jun 30, 2025 | -160.64% |
| Mar 31, 2025 | -96.12% |
| Dec 31, 2024 | -144.82% |
| Sep 30, 2024 | -291.02% |
| Jun 30, 2024 | -366.50% |
| Mar 31, 2024 | -569.09% |
| Dec 31, 2023 | -776.96% |
| Sep 30, 2023 | -757.62% |
| Jun 30, 2023 | -383.59% |
| Mar 31, 2023 | -168.39% |
| Dec 31, 2022 | -126.05% |
| Sep 30, 2022 | -118.88% |
| Jun 30, 2022 | -227.57% |
| Mar 31, 2022 | -258.47% |
| Dec 31, 2021 | -193.39% |
API Access
Datacentrex Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=DTCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=DTCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();