ZW Data Action Technologies (CNET) Return on Sales [ROS] (2010 - 2026)
ZW Data Action Technologies' Return on Sales [ROS] was -58.44% in Q2 2026, up 66.02 percentage points from -124.45% a year earlier but down 79.32 percentage points from the prior quarter.
ZW Data Action Technologies (CNET) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, ZW Data Action Technologies' Return on Sales [ROS] was -28.79% through Jun 30, 2026, up 20.61 percentage points year-over-year; for FY2025, it came in at -42.33%, down 17.97 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -27.48 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -24.35% in FY2024 (-4.70 pp), -19.66% in FY2023 (+22.73 pp), -42.39% in FY2022 (-13.67 pp) and -28.71% in FY2021 (-13.87 pp).
- Quarterly Return on Sales [ROS] has moved between -124.45% (Q2 2025) and 20.89% (Q1 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of -5.27 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2023 (a gain of 80.27 percentage points); the worst was Q2 2025 (a drop of 119.76 percentage points).
- Per Business Quant data, CNET's Return on Sales [ROS] in the three quarters before Q2 2026 was 20.89% (Q1 2026), -77.33% (Q4 2025) and -8.91% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 34.78% |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | -6,808.11% |
| 10 | ZW Data Action Technologies | 6.82 Mn | 2.82 Mn | 47,000.00 | -58.44% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -58.44% |
| Mar 31, 2026 | 20.89% |
| Dec 31, 2025 | -77.33% |
| Sep 30, 2025 | -8.91% |
| Jun 30, 2025 | -124.45% |
| Mar 31, 2025 | -35.05% |
| Dec 31, 2024 | -24.23% |
| Sep 30, 2024 | -61.50% |
| Jun 30, 2024 | -4.69% |
| Mar 31, 2024 | -26.11% |
| Dec 31, 2023 | -33.37% |
| Sep 30, 2023 | -17.49% |
| Jun 30, 2023 | -13.60% |
| Mar 31, 2023 | -20.77% |
| Dec 31, 2022 | -113.64% |
| Sep 30, 2022 | -25.37% |
| Jun 30, 2022 | -39.06% |
| Mar 31, 2022 | -20.27% |
| Dec 31, 2021 | -15.40% |
| Sep 30, 2021 | -13.23% |
ZW Data Action Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CNET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CNET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();