OPEN TEXT 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 2006-07-01 to 2026-06-30. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

OPEN TEXT CORP / CIK 0001002638

Captured

2026-09-20T05:11:32.817Z

SEC response SHA-256

9e643c2c7c1095c879c6c64fe818f7348f92c8666b2c26b2abdba103266e2995

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/0001002638.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"])))