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THE Dixie Group, Inc: diluted weighted-average shares

THE Dixie Group diluted weighted-average shares: 14.5 million shares for the year ending 2025-12-27, down 1.1% on the year. 17 values since 2009.

All THE Dixie Group, Inc financial histories

At a glance

THE Dixie Group reported diluted weighted-average shares of 14.5 million shares for the year ending 2025-12-27, down 1.1% from 14.6 million shares a year earlier. From 2009 to 2025 it grew at a compound 1.0% a year, from 12.3 million shares to 14.5 million shares. Across the last five reported years it ranged from 14.5 million shares (2025-12-27) to 15.3 million shares (2021-12-25).

Computed from the values in the table below, in shares; each links to the filing it came from.

What this measure means

Weighted-average shares used for diluted earnings per share. Potential shares are included under the applicable dilution rules, not simply added to outstanding shares.

Exact concept: us-gaap:WeightedAverageNumberOfDilutedSharesOutstanding. 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 2008-12-28 to 2025-12-27. The SEC response was captured on 2026-09-19.

Selected filing history

Diluted weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-12-292025-12-2714,481,000shares2026-03-2610-K · 0000029332-26-000018 SEC
2023-12-312024-12-2814,639,000shares2026-03-2610-K · 0000029332-26-000018 SEC
2023-01-012023-12-3014,783,000shares2025-04-0810-K · 0000029332-25-000017 SEC
2021-12-262022-12-3115,121,000shares2024-03-2010-K · 0000029332-24-000020 SEC
2020-12-272021-12-2515,250,000shares2023-03-0810-K · 0000029332-23-000015 SEC
2019-12-292020-12-2615,316,000shares2022-03-2310-K · 0000029332-22-000046 SEC
2018-12-302019-12-2815,926,000shares2021-03-1010-K · 0000029332-21-000015 SEC
2017-12-312018-12-2915,764,000shares2021-03-1010-K · 0000029332-21-000015 SEC
2017-01-012017-12-3015,699,000shares2020-03-1210-K · 0000029332-20-000012 SEC
2015-12-272016-12-3115,638,000shares2019-03-0810-K · 0000029332-19-000021 SEC
2014-12-282015-12-2615,536,000shares2018-03-1310-K · 0000029332-18-000026 SEC
2013-12-292014-12-2714,544,000shares2017-03-1310-K · 0000029332-17-000024 SEC
2012-12-302013-12-2812,852,000shares2016-03-0910-K · 0000029332-16-000142 SEC
2012-01-012012-12-2912,638,000shares2015-03-1210-K · 0000029332-15-000021 SEC
2010-12-262011-12-3112,623,000shares2014-03-1210-K · 0000029332-14-000034 SEC
2009-12-272010-12-2512,524,000shares2013-03-2510-K · 0000029332-13-000045 SEC
2008-12-282009-12-2612,331,000shares2012-03-2210-K · 0000029332-12-000029 SEC

Related THE DIXIE GROUP, INC histories

All 60 THE Dixie Group histories

Inspect the source

Entity
THE DIXIE GROUP, INC / CIK 0000029332
Captured
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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

Read the published dataset with Python
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"])))