NATIONAL BANKSHARES, INC.: basic earnings per share

What this measure means

Reported earnings or loss per basic common share or unit. Inspect attribution, share classes and restatements before comparing periods. This is not a market return.

Exact concept: us-gaap:EarningsPerShareBasic. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• NATIONAL BANKSHARES, INC.: total assets
• NATIONAL BANKSHARES, INC.: total liabilities
• NATIONAL BANKSHARES, INC.: stockholders equity
• NATIONAL BANKSHARES, INC.: cash and cash equivalents
• NATIONAL BANKSHARES, INC.: net income or loss
• NATIONAL BANKSHARES, INC.: operating cash flow
• NATIONAL BANKSHARES, INC.: capital expenditure payments
• NATIONAL BANKSHARES, INC.: financing cash flow
• NATIONAL BANKSHARES, INC.: investing cash flow
• NATIONAL BANKSHARES, INC.: retained earnings or deficit
• NATIONAL BANKSHARES, INC.: basic weighted-average shares
• NATIONAL BANKSHARES, INC.: diluted weighted-average shares
• NATIONAL BANKSHARES, INC.: diluted earnings per share
• NATIONAL BANKSHARES, INC.: income tax expense or benefit
• NATIONAL BANKSHARES, INC.: net property, plant and equipment
• NATIONAL BANKSHARES, INC.: share-based compensation expense
• NATIONAL BANKSHARES, INC.: interest expense
• NATIONAL BANKSHARES, INC.: goodwill carrying amount
• NATIONAL BANKSHARES, INC.: net finite-lived intangible assets
• NATIONAL BANKSHARES, INC.: common-stock repurchase payments

Inspect the source

Entity

NATIONAL BANKSHARES, INC. / CIK 0000796534

Captured

2026-09-19T15:04:49.898Z

SEC response SHA-256

e34f737832d7e79c90086c2611e7135348872a2cd2915c7dc9558d826f1fd9c6

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.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000796534.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"])))