THE DIXIE GROUP, INC: revenue

What this measure means

Revenue under this specific accounting concept. A missing value is not zero; filers can use other revenue concepts.

Exact concept: us-gaap:Revenues. 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 2015-12-27 to 2025-12-27. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• THE DIXIE GROUP, INC: total assets
• THE DIXIE GROUP, INC: total liabilities
• THE DIXIE GROUP, INC: stockholders equity
• THE DIXIE GROUP, INC: cash and cash equivalents
• THE DIXIE GROUP, INC: net income or loss
• THE DIXIE GROUP, INC: operating cash flow
• THE DIXIE GROUP, INC: capital expenditure payments
• THE DIXIE GROUP, INC: financing cash flow
• THE DIXIE GROUP, INC: investing cash flow
• THE DIXIE GROUP, INC: retained earnings or deficit
• THE DIXIE GROUP, INC: basic weighted-average shares
• THE DIXIE GROUP, INC: diluted weighted-average shares
• THE DIXIE GROUP, INC: basic earnings per share
• THE DIXIE GROUP, INC: diluted earnings per share
• THE DIXIE GROUP, INC: income tax expense or benefit
• THE DIXIE GROUP, INC: net property, plant and equipment
• THE DIXIE GROUP, INC: share-based compensation expense
• THE DIXIE GROUP, INC: operating income or loss
• THE DIXIE GROUP, INC: current assets
• THE DIXIE GROUP, INC: interest expense
• THE DIXIE GROUP, INC: current liabilities
• THE DIXIE GROUP, INC: current accounts payable
• THE DIXIE GROUP, INC: goodwill carrying amount
• THE DIXIE GROUP, INC: net finite-lived intangible assets
• THE DIXIE GROUP, INC: common-stock repurchase payments
• THE DIXIE GROUP, INC: net inventory
• THE DIXIE GROUP, INC: gross profit
• THE DIXIE GROUP, INC: selling, general and administrative expense

Inspect the source

Entity

THE DIXIE GROUP, INC / CIK 0000029332

Captured

2026-09-19T14:45:59.649Z

SEC response SHA-256

84b78e7d996077c073997401fc045a45fd7608cf9cf7f49002e89f6fd536ab5e

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/0000029332.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"])))