Datacentrex (DTCX) Selling, General & Administrative (2022 - 2025)
Datacentrex's Selling, General & Administrative was -$9.54 million in Q4 2025, compared with -$196,711 a year earlier.
Analysis
Datacentrex (DTCX) Selling, General & Administrative (2022 - 2025) Analysis & Trends
For FY2025, Selling, General & Administrative at Datacentrex came in at $2.43 million, up 271.6% from FY2024.
- Selling, General & Administrative shows a four-year compound annual growth rate of 120.5% (FY2021 to FY2025).
- In earlier years, Selling, General & Administrative was $653,611 in FY2024 (+65.2%), $395,624 in FY2023 (-5.6%), $418,940 in FY2022 (+307.9%) and $102,698 in FY2021.
- The Q4 2025 figure marks the lowest quarterly Selling, General & Administrative in data going back to Q1 2022.
- Compared with a year earlier, Selling, General & Administrative was higher in three of the last five quarters, with growth averaging 106.3%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q1 2023 (growth of 424.3%); the worst was Q1 2024 (a decline of 31.7%).
- Per Business Quant data, DTCX's Selling, General & Administrative in the three quarters before Q4 2025 was $9.88 million (Q3 2025), $1.18 million (Q2 2025) and $917,474 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 172.03 Mn |
| 10 | Datacentrex | 72.55 Mn | 72.55 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -9.54 Mn |
| Sep 30, 2025 | 9.88 Mn |
| Jun 30, 2025 | 1.18 Mn |
| Mar 31, 2025 | 917,474.00 |
| Dec 31, 2024 | -196,711.00 |
| Sep 30, 2024 | 268,567.00 |
| Jun 30, 2024 | 359,827.00 |
| Mar 31, 2024 | 221,926.00 |
| Dec 31, 2023 | -508,782.00 |
| Sep 30, 2023 | 321,352.00 |
| Jun 30, 2023 | 258,101.00 |
| Mar 31, 2023 | 324,954.00 |
| Dec 31, 2022 | 174,961.00 |
| Sep 30, 2022 | 100,900.00 |
| Jun 30, 2022 | 81,103.00 |
| Mar 31, 2022 | 61,976.00 |
API Access
Datacentrex Selling, General & Administrative 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=selling-general-and-administrative&ticker=DTCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DTCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();