Datacentrex (DTCX) Return on Sales [ROS] (2022 - 2026)
Datacentrex's Return on Sales [ROS] came in at 87.20% for Q4 2025, up 1696378.86 percentage points from -1696291.67% a year earlier and up 2752022.00 percentage points from the prior quarter.
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Analysis
Datacentrex (DTCX) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
For FY2025, Datacentrex's Return on Sales [ROS] was -113.71%, up 532399.38 percentage points from FY2024.
- Return on Sales [ROS] carries a four-year change of +34218.63 percentage points (FY2021 to FY2025).
- Going back by year, Return on Sales [ROS] was -532513.09% in FY2024 (-409513.58 pp), -122999.51% in FY2023 (-72994.80 pp), -50004.71% in FY2022 (-15672.37 pp) and -34332.34% in FY2021.
- The Q4 2025 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q1 2022.
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -1709626.71 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2025 (a gain of 1696378.86 percentage points), and the weakest in Q2 2025 (a drop of 9295650.00 percentage points).
- Business Quant data shows DTCX's Return on Sales [ROS] at -2751934.81% (Q3 2025), -11059186.67% (Q2 2025) and -1149630.46% (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 31.81% |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 20.10% |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 34.63% |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 5.64% |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 15.18% |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 9.80% |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 78.22% |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 13.52% |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 38.43% |
| 10 | Datacentrex | 44.31 Mn | -116.51 Mn | 79,536.00 | -276.41% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -276.41% |
| Jun 30, 2026 | -250.61% |
| Mar 31, 2026 | -230.25% |
| Dec 31, 2025 | -186.65% |
| Sep 30, 2025 | -67.68% |
| Jun 30, 2025 | -11,059,186.67% |
| Mar 31, 2025 | -192.76% |
| Dec 31, 2024 | -1,696,291.67% |
| Sep 30, 2024 | -295,131.33% |
| Jun 30, 2024 | -1,763,536.67% |
| Mar 31, 2024 | -80,974.57% |
| Dec 31, 2023 | -122,999.51% |
| Sep 30, 2023 | -997,840.28% |
| Jun 30, 2023 | -122,116.03% |
| Mar 31, 2023 | -40,695.20% |
| Dec 31, 2022 | -50,004.71% |
| Sep 30, 2022 | -17,949.45% |
| Jun 30, 2022 | -19,363.02% |
| Mar 31, 2022 | -6,294.48% |
API Access
Datacentrex Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=DTCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=DTCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();