Datacentrex (DTCX) Operating Expenses (2022 - 2026)
Datacentrex's Operating Expenses came in at $3.25 million for Q2 2026, up 96.2% from $1.66 million a year earlier.
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Analysis
Datacentrex (DTCX) Operating Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Datacentrex reported Operating Expenses of $12.84 million, up 98.0% year-over-year; for FY2025, it was $11.32 million, up 186.9% from FY2024.
- Operating Expenses has increased in each of the last four years, with a four-year compound annual growth rate of 91.5% (FY2021 to FY2025).
- Going back by year, Operating Expenses was $3.95 million in FY2024 (+56.5%), $2.52 million in FY2023 (+107.8%), $1.21 million in FY2022 (+44.0%) and $842,215 in FY2021.
- The five-year range for quarterly Operating Expenses is -$2.67 million (Q4 2025) to $10.6 million (Q3 2025).
- Year-over-year, Operating Expenses increased in four of the last five quarters, with growth averaging 262.4%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 612.1%), and the weakest in Q1 2024 (a decline of 54.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Datacentrex | 70.17 Mn | 70.17 Mn | - | 3.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.25 Mn |
| Dec 31, 2025 | -2.67 Mn |
| Sep 30, 2025 | 10.60 Mn |
| Jun 30, 2025 | 1.66 Mn |
| Mar 31, 2025 | 1.74 Mn |
| Dec 31, 2024 | 2.65 Mn |
| Sep 30, 2024 | 442,847.00 |
| Jun 30, 2024 | 529,091.00 |
| Mar 31, 2024 | 328,352.00 |
| Dec 31, 2023 | 371,633.00 |
| Sep 30, 2023 | 718,517.00 |
| Jun 30, 2023 | 708,853.00 |
| Mar 31, 2023 | 722,075.00 |
| Dec 31, 2022 | 422,952.00 |
| Sep 30, 2022 | 294,567.00 |
| Jun 30, 2022 | 272,093.00 |
| Mar 31, 2022 | 223,423.00 |
API Access
Datacentrex Operating Expenses 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-expenses&ticker=DTCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=DTCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();