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WEIS MARKETS, INC: diluted weighted-average shares

Diluted weighted-average shares for WEIS MARKETS, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All WEIS MARKETS, INC financial histories

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 2018-12-30 to 2025-12-27. The SEC response was captured on 2026-09-19.

Reading these values

This selected numerical history matches Basic weighted-average shares for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.

Context from the filing

For fiscal 2023–2025, Weis reports combined basic and diluted earnings per share and weighted-average shares. The 2023 and 2024 EPS figures are explicitly restated in the 2025 filing; they are not the originally reported figures. The fiscal years end on December 30, 2023, December 28, 2024 and December 27, 2025. Shares and per-share amounts are exempt from the statement’s thousands heading. This combined presentation does not establish the reason for equal basic and diluted measures or prove that no potentially dilutive securities exist. Their matching denominators should not be added. Read the source filing.

Selected filing history

Diluted weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-12-292025-12-2725,685,425shares2026-03-1210-K · 0000105418-26-000024
2023-12-312024-12-2826,898,443shares2026-03-1210-K · 0000105418-26-000024
2023-01-012023-12-3026,898,443shares2026-03-1210-K · 0000105418-26-000024
2021-12-262022-12-3126,898,443shares2025-02-2610-K · 0000105418-25-000014
2020-12-272021-12-2526,898,443shares2024-02-2810-K · 0000105418-24-000015
2019-12-292020-12-2626,898,443shares2023-03-0110-K · 0000105418-23-000008
2018-12-302019-12-2826,898,443shares2022-03-1010-K · 0000105418-22-000009

Related financial histories

Inspect the source

Entity
WEIS MARKETS, INC / CIK 0000105418
Captured
2026-09-19T14:54:33.396Z
SEC response SHA-256
541b42abf646b70212a5be69c275c73b3409f259041c76d97babc5aec2a84049

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/0000105418.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"])))