HYPERSCALE DATA, 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

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

Inspect the source

Entity

HYPERSCALE DATA, INC. / CIK 0000896493

Captured

2026-09-20T05:04:35.371Z

SEC response SHA-256

35e4b4d2a315ac2783cd2a79c5d2b3714f16fb7c52567963f7aa296ebe40328e

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/0000896493.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"])))