ZW Data Action Technologies Inc.: operating expenses

What this measure means

Recurring operating costs under this accounting concept, generally excluding production costs included in cost of sales. Check filing presentation before combining expense subtotals.

Exact concept: us-gaap:OperatingExpenses. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• ZW Data Action Technologies Inc.: total assets
• ZW Data Action Technologies Inc.: total liabilities
• ZW Data Action Technologies Inc.: stockholders equity
• ZW Data Action Technologies Inc.: cash and cash equivalents
• ZW Data Action Technologies Inc.: net income or loss
• ZW Data Action Technologies Inc.: operating cash flow
• ZW Data Action Technologies Inc.: capital expenditure payments
• ZW Data Action Technologies Inc.: revenue
• ZW Data Action Technologies Inc.: contract revenue excluding tax
• ZW Data Action Technologies Inc.: financing cash flow
• ZW Data Action Technologies Inc.: investing cash flow
• ZW Data Action Technologies Inc.: retained earnings or deficit
• ZW Data Action Technologies Inc.: basic weighted-average shares
• ZW Data Action Technologies Inc.: diluted weighted-average shares
• ZW Data Action Technologies Inc.: basic earnings per share
• ZW Data Action Technologies Inc.: diluted earnings per share
• ZW Data Action Technologies Inc.: income tax expense or benefit
• ZW Data Action Technologies Inc.: net property, plant and equipment
• ZW Data Action Technologies Inc.: share-based compensation expense
• ZW Data Action Technologies Inc.: operating income or loss
• ZW Data Action Technologies Inc.: current assets
• ZW Data Action Technologies Inc.: interest expense
• ZW Data Action Technologies Inc.: current liabilities
• ZW Data Action Technologies Inc.: current accounts payable
• ZW Data Action Technologies Inc.: goodwill carrying amount
• ZW Data Action Technologies Inc.: net current accounts receivable
• ZW Data Action Technologies Inc.: gross profit
• ZW Data Action Technologies Inc.: research and development expense

Inspect the source

Entity

ZW Data Action Technologies Inc. / CIK 0001376321

Captured

2026-09-20T07:57:34.651Z

SEC response SHA-256

ebced2c7548af56a1efe67ca4d25703dee789cd97288e2e8913289eecce56684

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001376321.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))