ZW Data Action Technologies (CNET) Total Liabilities (2010 - 2026)
ZW Data Action Technologies (CNET) recorded Total Liabilities of $5.57 million in Q2 2026, down 1.8% from $5.67 million a year earlier but up 9.4% from the prior quarter.
ZW Data Action Technologies (CNET) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, ZW Data Action Technologies reported Total Liabilities of $5.28 million, down 11.6% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -8.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $5.97 million in FY2024 (+19.9%), $4.98 million in FY2023 (-32.4%), $7.36 million in FY2022 (-32.3%) and $10.87 million in FY2021 (+32.7%).
- Quarterly Total Liabilities has ranged from $4.98 million in Q4 2023 to $12.05 million in Q3 2021 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for four consecutive quarters, with an average decline of 1.2% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 52.8% in Q3 2021, against a decline of 53.8% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.09 million (Q1 2026), $5.28 million (Q4 2025) and $6.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | ZW Data Action Technologies | 7.48 Mn | 3.48 Mn | 47,000.00 | 5.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.57 Mn |
| Mar 31, 2026 | 5.09 Mn |
| Dec 31, 2025 | 5.28 Mn |
| Sep 30, 2025 | 6.24 Mn |
| Jun 30, 2025 | 5.67 Mn |
| Mar 31, 2025 | 6.37 Mn |
| Dec 31, 2024 | 5.97 Mn |
| Sep 30, 2024 | 6.72 Mn |
| Jun 30, 2024 | 5.55 Mn |
| Mar 31, 2024 | 5.99 Mn |
| Dec 31, 2023 | 4.98 Mn |
| Sep 30, 2023 | 6.54 Mn |
| Jun 30, 2023 | 6.46 Mn |
| Mar 31, 2023 | 6.95 Mn |
| Dec 31, 2022 | 7.36 Mn |
| Sep 30, 2022 | 8.24 Mn |
| Jun 30, 2022 | 7.67 Mn |
| Mar 31, 2022 | 9.37 Mn |
| Dec 31, 2021 | 10.87 Mn |
| Sep 30, 2021 | 12.05 Mn |
ZW Data Action Technologies 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=CNET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CNET", "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=CNET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();