OLD DOMINION FREIGHT LINE, 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 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• OLD DOMINION FREIGHT LINE, INC.: total assets
• OLD DOMINION FREIGHT LINE, INC.: total liabilities
• OLD DOMINION FREIGHT LINE, INC.: stockholders equity
• OLD DOMINION FREIGHT LINE, INC.: cash and cash equivalents
• OLD DOMINION FREIGHT LINE, INC.: net income or loss
• OLD DOMINION FREIGHT LINE, INC.: operating cash flow
• OLD DOMINION FREIGHT LINE, INC.: financing cash flow
• OLD DOMINION FREIGHT LINE, INC.: investing cash flow
• OLD DOMINION FREIGHT LINE, INC.: retained earnings or deficit
• OLD DOMINION FREIGHT LINE, INC.: basic weighted-average shares
• OLD DOMINION FREIGHT LINE, INC.: diluted weighted-average shares
• OLD DOMINION FREIGHT LINE, INC.: basic earnings per share
• OLD DOMINION FREIGHT LINE, INC.: diluted earnings per share
• OLD DOMINION FREIGHT LINE, INC.: net property, plant and equipment
• OLD DOMINION FREIGHT LINE, INC.: share-based compensation expense
• OLD DOMINION FREIGHT LINE, INC.: operating income or loss
• OLD DOMINION FREIGHT LINE, INC.: current assets
• OLD DOMINION FREIGHT LINE, INC.: current liabilities
• OLD DOMINION FREIGHT LINE, INC.: current accounts payable
• OLD DOMINION FREIGHT LINE, INC.: net current accounts receivable
• OLD DOMINION FREIGHT LINE, INC.: common-stock repurchase payments

Inspect the source

Entity

OLD DOMINION FREIGHT LINE, INC. / CIK 0000878927

Captured

2026-09-20T05:01:22.226Z

SEC response SHA-256

cfe7fd09a23eb4d6d7bb463f37abe15444151e095b394a457b7e41b69d6f3046

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/0000878927.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"])))