Skip to content

BUTLER NATIONAL CORP: basic weighted-average shares

Basic weighted-average shares for BUTLER NATIONAL CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All BUTLER NATIONAL CORP 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 2009-05-01 to 2026-04-30. 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
2025-05-012026-04-3064,965,512shares2026-07-0810-K · 0000015847-26-000020
2024-05-012025-04-3067,819,328shares2026-07-0810-K · 0000015847-26-000020
2023-05-012024-04-3070,435,752shares2025-07-0310-K · 0001628280-25-034206
2022-05-012023-04-3076,456,631shares2024-07-2310-K · 0001437749-24-023270
2021-05-012022-04-3075,340,131shares2023-07-3110-K · 0001437749-23-021098
2020-05-012021-04-3074,144,957shares2022-07-1510-K · 0001437749-22-017184
2019-05-012020-04-3068,622,527shares2021-07-1610-K · 0001437749-21-017053
2018-05-012019-04-3064,511,608shares2020-07-1710-K · 0001437749-20-015329
2017-05-012018-04-3064,387,694shares2019-07-1910-K · 0001437749-19-014273
2016-05-012017-04-3063,455,883shares2018-07-2010-K · 0001437749-18-013553
2015-05-012016-04-3062,263,404shares2017-07-2110-K · 0001437749-17-012924
2014-05-012015-04-3062,260,098shares2016-07-2710-K · 0000015847-16-000069
2013-05-012014-04-3060,893,092shares2015-07-2910-K · 0000015847-15-000028
2012-05-012013-04-3059,014,594shares2015-07-2910-K · 0000015847-15-000028
2011-05-012012-04-3056,596,214shares2014-07-2910-K · 0000015847-14-000018
2010-05-012011-04-3056,108,812shares2013-07-2610-K · 0001140361-13-029113
2009-05-012010-04-3055,398,584,000shares2012-07-3010-K · 0001140361-12-034252

Related financial histories

Inspect the source

Entity
BUTLER NATIONAL CORP / CIK 0000015847
Captured
2026-09-19T14:44:29.765Z
SEC response SHA-256
9444c52d9017f318017eb2188f9cfa8abb99320a5b829463b33c7e47c518d535

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/0000015847.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"])))