Datacentrex (DTCX) Interest Expenses (2022 - 2024)
Datacentrex (DTCX) recorded Interest Expenses of $72,591 in Q4 2024, up 602.2% from $10,337 a year earlier.
Analysis
Datacentrex (DTCX) Interest Expenses (2022 - 2024) Analysis & Trends
For FY2024, Datacentrex reported Interest Expenses of $70,444, down 4.2% from FY2023.
- Annual Interest Expenses has a three-year compound annual growth rate of 59.1% (FY2021 to FY2024).
- Across earlier years, Interest Expenses came in at $73,498 in FY2023 (+184.2%), $25,865 in FY2022 (+47.9%) and $17,486 in FY2021.
- The Q4 2024 figure is the highest quarterly Interest Expenses in data going back to Q1 2022.
- On a year-over-year basis, Interest Expenses rose in three of the last four quarters, with growth averaging 289.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | - |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -345.42 Mn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | -24.41 Mn |
| 10 | Datacentrex | 71.36 Mn | 71.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 72,591.00 |
| Sep 30, 2024 | -859.00 |
| Jun 30, 2024 | -1,288.00 |
| Dec 31, 2023 | 10,337.00 |
| Sep 30, 2023 | 27,937.00 |
| Jun 30, 2023 | 22,856.00 |
| Mar 31, 2023 | 12,368.00 |
| Dec 31, 2022 | 16,979.00 |
| Jun 30, 2022 | 4,443.00 |
| Mar 31, 2022 | 4,443.00 |
API Access
Datacentrex Interest 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=interest-expenses&ticker=DTCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=DTCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();