Datacentrex (DTCX) Operating Margin (2022 - 2026)
Datacentrex (DTCX) reported Operating Margin of 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) Operating Margin (2022 - 2026) Analysis & Trends
For FY2025, Datacentrex posted Operating Margin of -113.71%, up 532399.38 percentage points from FY2024.
- Operating Margin has a four-year change of +34218.63 percentage points (FY2021 to FY2025).
- By year, Operating Margin came in at -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 ranks as the highest quarterly Operating Margin in data going back to Q1 2022.
- Year over year, Operating Margin gained in two of the last seven quarters, with an average year-over-year change of -1729103.08 percentage points.
- The high point for year-over-year Operating Margin in five years was Q4 2025 (a gain of 1696378.86 percentage points); the low point was Q2 2025 (a drop of 9295650.00 percentage points).
- Per Business Quant data, the three quarters before Q4 2025 came in at -2751934.81% (Q3 2025), -11059186.67% (Q2 2025) and -1149630.46% (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 31.81% |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 20.10% |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 34.63% |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | - |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 15.18% |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 9.80% |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 78.22% |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | - |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | 38.43% |
| 10 | Datacentrex | 39.22 Mn | 39.22 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -230.25% |
| Dec 31, 2025 | 87.20% |
| Sep 30, 2025 | -2,751,934.81% |
| Jun 30, 2025 | -11,059,186.67% |
| Mar 31, 2025 | -1,149,630.46% |
| 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% |
| Sep 30, 2023 | -997,840.28% |
| Jun 30, 2023 | -122,116.03% |
| Mar 31, 2023 | -40,695.20% |
| Sep 30, 2022 | -17,949.45% |
| Jun 30, 2022 | -19,363.02% |
| Mar 31, 2022 | -6,294.48% |
API Access
Datacentrex Operating Margin 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=operating-margin&ticker=DTCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=DTCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();