Datacentrex (DTCX) Selling, General & Administrative (2021 - 2026)
Datacentrex's Selling, General & Administrative was -$9.54 million in Q4 2025, compared with -$196,711 a year earlier.
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Analysis
Datacentrex (DTCX) Selling, General & Administrative (2021 - 2026) 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 | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 6.14 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 14.86 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 466.37 Mn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 1.87 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 130.00 Mn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 1.05 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 64.46 Mn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 165.66 Mn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 338.00 Mn |
| 10 | Datacentrex | 44.31 Mn | -116.51 Mn | 79,536.00 | 935,781.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 935,781.00 |
| Jun 30, 2026 | 863,281.00 |
| Mar 31, 2026 | 1.09 Mn |
| Dec 31, 2025 | 1.10 Mn |
| Sep 30, 2025 | 931,739.00 |
| Jun 30, 2025 | 1.18 Mn |
| Mar 31, 2025 | 201,871.00 |
| 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 |
| Dec 31, 2021 | 65,627.00 |
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_KEYimport 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();