Datacentrex (DTCX) Total Liabilities (2020 - 2025)
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.
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Analysis
Datacentrex (DTCX) Total Liabilities (2020 - 2025) 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 | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 31.67 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 6.23 Bn |
| 10 | Datacentrex | 71.36 Mn | 71.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Dec 31, 2020 | 217,004.00 |
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_KEYimport 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();