XMAX INC.: 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 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• XMAX INC.: total assets
• XMAX INC.: total liabilities
• XMAX INC.: stockholders equity
• XMAX INC.: cash and cash equivalents
• XMAX INC.: net income or loss
• XMAX INC.: operating cash flow
• XMAX INC.: capital expenditure payments
• XMAX INC.: revenue
• XMAX INC.: contract revenue excluding tax
• XMAX INC.: financing cash flow
• XMAX INC.: investing cash flow
• XMAX INC.: retained earnings or deficit
• XMAX INC.: basic weighted-average shares
• XMAX INC.: diluted weighted-average shares
• XMAX INC.: basic earnings per share
• XMAX INC.: diluted earnings per share
• XMAX INC.: net property, plant and equipment
• XMAX INC.: share-based compensation expense
• XMAX INC.: operating income or loss
• XMAX INC.: current assets
• XMAX INC.: interest expense
• XMAX INC.: current liabilities
• XMAX INC.: current accounts payable
• XMAX INC.: goodwill carrying amount
• XMAX INC.: net finite-lived intangible assets
• XMAX INC.: net current accounts receivable
• XMAX INC.: common-stock repurchase payments
• XMAX INC.: operating expenses
• XMAX INC.: net inventory
• XMAX INC.: gross profit
• XMAX INC.: cost of revenue
• XMAX INC.: research and development expense

Inspect the source

Entity

XMAX INC. / CIK 0001473334

Captured

2026-09-20T09:07:50.767Z

SEC response SHA-256

204bd86aae97fc8e0d799483199c001dd0c83582b14335f7a216d10466a9ae08

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/0001473334.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"])))