ADDENTAX GROUP CORP.: income tax expense or benefit

What this measure means

Current and deferred income tax expense or benefit for continuing operations. This accounting expense differs from cash taxes paid.

Exact concept: us-gaap:IncomeTaxExpenseBenefit. 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 2016-04-01 to 2026-03-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• ADDENTAX GROUP CORP.: total assets
• ADDENTAX GROUP CORP.: total liabilities
• ADDENTAX GROUP CORP.: stockholders equity
• ADDENTAX GROUP CORP.: cash and cash equivalents
• ADDENTAX GROUP CORP.: net income or loss
• ADDENTAX GROUP CORP.: operating cash flow
• ADDENTAX GROUP CORP.: capital expenditure payments
• ADDENTAX GROUP CORP.: revenue
• ADDENTAX GROUP CORP.: contract revenue excluding tax
• ADDENTAX GROUP CORP.: financing cash flow
• ADDENTAX GROUP CORP.: investing cash flow
• ADDENTAX GROUP CORP.: retained earnings or deficit
• ADDENTAX GROUP CORP.: basic weighted-average shares
• ADDENTAX GROUP CORP.: diluted weighted-average shares
• ADDENTAX GROUP CORP.: basic earnings per share
• ADDENTAX GROUP CORP.: diluted earnings per share
• ADDENTAX GROUP CORP.: net property, plant and equipment
• ADDENTAX GROUP CORP.: operating income or loss
• ADDENTAX GROUP CORP.: current assets
• ADDENTAX GROUP CORP.: interest expense
• ADDENTAX GROUP CORP.: current liabilities
• ADDENTAX GROUP CORP.: current accounts payable
• ADDENTAX GROUP CORP.: goodwill carrying amount
• ADDENTAX GROUP CORP.: net current accounts receivable
• ADDENTAX GROUP CORP.: operating expenses
• ADDENTAX GROUP CORP.: net inventory
• ADDENTAX GROUP CORP.: gross profit
• ADDENTAX GROUP CORP.: cost of revenue

Inspect the source

Entity

ADDENTAX GROUP CORP. / CIK 0001650101

Captured

2026-09-21T17:23:25.882Z

SEC response SHA-256

a2d48f67c376b15294e8b296c1a455943dd85d8866c58e613615b708fe4adaf2

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/0001650101.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"])))