ZW Data Action Technologies (CNET) Return on Capital Employed [ROCE] (2011 - 2026)
ZW Data Action Technologies (CNET) reported Return on Capital Employed [ROCE] of -23.51% for Q2 2026, up 72.31 percentage points from -95.82% a year earlier and up 4.16 percentage points from the prior quarter.
ZW Data Action Technologies (CNET) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, ZW Data Action Technologies posted Return on Capital Employed [ROCE] of -42.36%, up 39.14 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +6.84 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -81.50% in FY2024 (-24.73 pp), -56.77% in FY2023 (-2.38 pp), -54.39% in FY2022 (+21.84 pp) and -76.23% in FY2021 (-27.03 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since Q4 2019.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last four quarters, with an average year-over-year change of +24.43 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q2 2026 (a gain of 72.31 percentage points); the low point was Q3 2023 (a drop of 47.97 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -27.68% (Q1 2026), -42.53% (Q4 2025) and -57.11% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 9.81% |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | -68.70% |
| 10 | ZW Data Action Technologies | 6.82 Mn | 2.82 Mn | 47,000.00 | -23.51% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -23.51% |
| Mar 31, 2026 | -27.68% |
| Dec 31, 2025 | -42.53% |
| Sep 30, 2025 | -57.11% |
| Jun 30, 2025 | -95.82% |
| Mar 31, 2025 | -97.39% |
| Dec 31, 2024 | -83.55% |
| Sep 30, 2024 | -100.59% |
| Jun 30, 2024 | -80.48% |
| Mar 31, 2024 | -103.01% |
| Dec 31, 2023 | -73.76% |
| Sep 30, 2023 | -89.05% |
| Jun 30, 2023 | -78.73% |
| Mar 31, 2023 | -81.07% |
| Dec 31, 2022 | -66.87% |
| Sep 30, 2022 | -41.08% |
| Jun 30, 2022 | -33.74% |
| Mar 31, 2022 | -55.20% |
| Dec 31, 2021 | -54.46% |
| Sep 30, 2021 | -48.84% |
ZW Data Action Technologies Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=CNET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=CNET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();