Datacentrex (DTCX) Total Liabilities (2020 - 2026)
Datacentrex's Total Liabilities came in at $594,658 for Q4 2025, up 77.4% from $335,203 a year earlier but down 32.6% from the prior quarter.
Analysis
Datacentrex (DTCX) Total Liabilities (2020 - 2026) Analysis & Trends
Going back to Q4 2020, Datacentrex's Total Liabilities data covers 20 quarters.
- Total Liabilities carries a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $335,203 in FY2024 (+409.0%), $65,860 in FY2023 (-82.4%), $374,275 in FY2022 (+50.1%) and $249,313 in FY2021 (+14.9%).
- The five-year range for quarterly Total Liabilities is $32,256 (Q3 2022) to $882,704 (Q3 2025).
- Year-over-year, Total Liabilities has increased for six consecutive quarters, with growth averaging 215.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2025 (growth of 586.4%), and the weakest in Q3 2022 (a decline of 88.0%).
- Business Quant data shows DTCX's Total Liabilities at $882,704 (Q3 2025), $781,275 (Q2 2025) and $383,744 (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 325.76 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 206.45 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 29.40 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | 114.47 Bn |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 1.92 Bn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 42.49 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 5.28 Bn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | 7.85 Bn |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | 38.67 Bn |
| 10 | Datacentrex | 39.22 Mn | 39.22 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 259,817.00 |
| Dec 31, 2025 | 594,658.00 |
| Sep 30, 2025 | 882,704.00 |
| Jun 30, 2025 | 781,275.00 |
| Mar 31, 2025 | 383,744.00 |
| Dec 31, 2024 | 335,203.00 |
| Sep 30, 2024 | 233,517.00 |
| Jun 30, 2024 | 113,816.00 |
| Mar 31, 2024 | 68,611.00 |
| Dec 31, 2023 | 65,860.00 |
| Sep 30, 2023 | 127,290.00 |
| Jun 30, 2023 | 749,210.00 |
| Mar 31, 2023 | 540,934.00 |
| Dec 31, 2022 | 374,275.00 |
| Sep 30, 2022 | 32,256.00 |
| Jun 30, 2022 | 254,773.00 |
| Mar 31, 2022 | 250,476.00 |
| Dec 31, 2021 | 249,313.00 |
| Sep 30, 2021 | 268,345.00 |
| Jun 30, 2021 | 224,217.00 |
API Access
Datacentrex Total Liabilities 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=total-liabilities&ticker=DTCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DTCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();