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PILGRIM’S PRIDE CORPORATION: basic weighted-average shares

Basic weighted-average shares for PILGRIM’S PRIDE CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All PILGRIM’S PRIDE CORPORATION financial histories

What this measure means

Time-weighted shares used for basic earnings per share. This denominator differs from shares outstanding at a single reporting date.

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

Selected filing history

Basic weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-12-302025-12-28237,427,000shares2026-02-1210-K · 0000802481-26-000011
2024-01-012024-12-29237,008,000shares2026-02-1210-K · 0000802481-26-000011
2022-12-262023-12-31236,725,000shares2026-02-1210-K · 0000802481-26-000011
2021-12-272022-12-25239,766,000shares2025-02-1310-K · 0000802481-25-000011
2020-12-282021-12-26243,652,000shares2024-02-2710-K · 0000802481-24-000015
2019-12-302020-12-27245,944,000shares2023-02-0910-K · 0000802481-23-000013
2018-12-312019-12-29249,401,000shares2022-02-1810-K · 0000802481-22-000012
2018-01-012018-12-30248,945,000shares2021-02-1110-K · 0000802481-21-000015
2016-12-262017-12-31248,738,000shares2020-02-2110-K · 0000802481-20-000009
2015-12-282016-12-25253,669,000shares2019-02-1410-K · 0000802481-19-000015
2014-12-292015-12-27258,442,000shares2018-02-1610-K · 0000802481-18-000011
2013-12-302014-12-28258,974,000shares2017-02-0910-K · 0000802481-17-000010
2012-12-312013-12-29258,826,000shares2016-02-1210-K · 0001628280-16-011068
2011-12-262012-12-30250,101,000shares2015-02-1210-K · 0000802481-15-000015
2010-12-272011-12-25224,996,000shares2014-02-2110-K · 0001206774-14-000606
2009-12-282010-12-26224,996,000shares2013-02-1510-K · 0001206774-13-000625
2008-09-282009-09-2674,056,000shares2012-02-1710-K · 0000802481-12-000008

Related financial histories

Inspect the source

Entity
PILGRIM’S PRIDE CORPORATION / CIK 0000802481
Captured
2026-09-19T11:14:35.409Z
SEC response SHA-256
ce1703b686c0dd8a96bb919b06e44fceccebf19fb4743ab1c1fd99403348143c

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000802481.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"])))