ZW Data Action Technologies (CNET) Operating Expenses (2010 - 2026)
ZW Data Action Technologies (CNET) posted Operating Expenses of $428,000 for Q2 2026, down 41.3% from $729,000 a year earlier.
Powered by 
Analysis
ZW Data Action Technologies (CNET) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at ZW Data Action Technologies was $1.21 million, down 70.0% year-over-year; for FY2025, it came in at $2.31 million, down 45.1% from FY2024.
- Annual Operating Expenses has declined for four consecutive years, with a five-year compound annual growth rate of -18.3% (FY2020 to FY2025).
- In prior years, ZW Data Action Technologies' Operating Expenses was $4.2 million in FY2024 (-24.6%), $5.58 million in FY2023 (-49.0%), $10.93 million in FY2022 (-20.2%) and $13.69 million in FY2021 (+116.1%).
- Quarterly Operating Expenses has run from a low of -$52,000 in Q1 2026 to a high of $4.83 million in Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last seven quarters, with an average decline of 24.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 170.4%; the weakest was Q3 2025, with a decline of 87.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was -$52,000 (Q1 2026), $587,000 (Q4 2025) and $251,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | ZW Data Action Technologies | 7.48 Mn | 3.48 Mn | 47,000.00 | 428,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 428,000.00 |
| Mar 31, 2026 | -52,000.00 |
| Dec 31, 2025 | 587,000.00 |
| Sep 30, 2025 | 251,000.00 |
| Jun 30, 2025 | 729,000.00 |
| Mar 31, 2025 | 739,000.00 |
| Dec 31, 2024 | 533,000.00 |
| Sep 30, 2024 | 2.05 Mn |
| Jun 30, 2024 | 629,000.00 |
| Mar 31, 2024 | 994,000.00 |
| Dec 31, 2023 | 1.75 Mn |
| Sep 30, 2023 | 1.60 Mn |
| Jun 30, 2023 | 1.23 Mn |
| Mar 31, 2023 | 998,000.00 |
| Dec 31, 2022 | 4.83 Mn |
| Sep 30, 2022 | 1.78 Mn |
| Jun 30, 2022 | 2.63 Mn |
| Mar 31, 2022 | 1.69 Mn |
| Dec 31, 2021 | 2.91 Mn |
| Sep 30, 2021 | 1.62 Mn |
API Access
ZW Data Action Technologies 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=CNET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CNET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();