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Nathan's Famous, Inc.: diluted weighted-average shares

Nathan's Famous diluted weighted-average shares: 4.12 million shares for the year ending 2026-03-29, up 0.7% on the year. 17 values since 2010 from SEC filings.

All Nathan's Famous, Inc. financial histories

At a glance

Nathan's Famous reported diluted weighted-average shares of 4.12 million shares for the year ending 2026-03-29, up 0.7% from 4.09 million shares a year earlier. From 2010 to 2026 it fell at a compound 2.0% a year, from 5.72 million shares to 4.12 million shares. Across the last five reported years it ranged from 4.09 million shares (2024-03-31) to 4.12 million shares (2026-03-29).

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 2009-03-30 to 2026-03-29. 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
2025-03-312026-03-294,124,000shares2026-06-0910-K · 0001437749-26-019923 SEC
2024-04-012025-03-304,095,000shares2026-06-0910-K · 0001437749-26-019923 SEC
2023-03-272024-03-314,087,000shares2025-06-1010-K · 0001437749-25-019916 SEC
2022-03-282023-03-264,090,000shares2024-06-1210-K · 0001437749-24-020013 SEC
2021-03-292022-03-274,115,000shares2023-06-0810-K · 0001437749-23-016924 SEC
2020-03-302021-03-284,116,000shares2022-06-1010-K · 0001437749-22-014727 SEC
2019-04-012020-03-294,216,000shares2021-06-1110-K · 0001437749-21-014536 SEC
2018-03-262019-03-314,220,000shares2020-06-1210-K · 0001437749-20-012966 SEC
2017-03-272018-03-254,221,000shares2019-06-1410-K · 0001437749-19-012012 SEC
2016-03-282017-03-264,206,000shares2019-06-1410-K · 0001437749-19-012012 SEC
2015-03-302016-03-274,463,000shares2018-06-0810-K · 0001437749-18-011457 SEC
2014-03-312015-03-294,588,000shares2017-06-0910-K · 0001437749-17-011019 SEC
2013-04-012014-03-304,605,000shares2016-06-1010-K · 0001437749-16-033631 SEC
2012-03-262013-03-314,588,000shares2015-06-1210-K · 0001437749-15-012185 SEC
2011-03-282012-03-255,049,000shares2014-06-1310-K · 0001437749-14-011106 SEC
2010-03-292011-03-275,504,000shares2013-06-1410-K · 0001437749-13-007587 SEC
2009-03-302010-03-285,716,000shares2012-06-0710-K · 0001437749-12-005931 SEC

Related NATHAN'S FAMOUS, INC. histories

All 53 Nathan's Famous histories

Inspect the source

Entity
NATHAN'S FAMOUS, INC. / CIK 0000069733
Captured
SEC response SHA-256
06f0894138783a61efe2b56f4adff2427f21fb667c5e9a61dd67eef54ad74aa5

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/0000069733.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"])))