ALBANY INTERNATIONAL 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 2011-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

ALBANY INTERNATIONAL CORP. / CIK 0000819793

Captured

2026-09-19T15:07:13.812Z

SEC response SHA-256

0a5ca326c863c6c5ade3f8c1dbe276af9d21bef2249e961499438a8fdf761af1

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/0000819793.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"])))