GEORGE RISK INDUSTRIES, INC.: diluted earnings per share

What this measure means

Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.

Exact concept: us-gaap:EarningsPerShareDiluted. 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 2014-05-01 to 2026-04-30. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• GEORGE RISK INDUSTRIES, INC.: total assets
• GEORGE RISK INDUSTRIES, INC.: total liabilities
• GEORGE RISK INDUSTRIES, INC.: stockholders equity
• GEORGE RISK INDUSTRIES, INC.: cash and cash equivalents
• GEORGE RISK INDUSTRIES, INC.: net income or loss
• GEORGE RISK INDUSTRIES, INC.: operating cash flow
• GEORGE RISK INDUSTRIES, INC.: capital expenditure payments
• GEORGE RISK INDUSTRIES, INC.: revenue
• GEORGE RISK INDUSTRIES, INC.: contract revenue excluding tax
• GEORGE RISK INDUSTRIES, INC.: financing cash flow
• GEORGE RISK INDUSTRIES, INC.: investing cash flow
• GEORGE RISK INDUSTRIES, INC.: retained earnings or deficit
• GEORGE RISK INDUSTRIES, INC.: basic weighted-average shares
• GEORGE RISK INDUSTRIES, INC.: diluted weighted-average shares
• GEORGE RISK INDUSTRIES, INC.: basic earnings per share
• GEORGE RISK INDUSTRIES, INC.: income tax expense or benefit
• GEORGE RISK INDUSTRIES, INC.: net property, plant and equipment
• GEORGE RISK INDUSTRIES, INC.: operating income or loss
• GEORGE RISK INDUSTRIES, INC.: current assets
• GEORGE RISK INDUSTRIES, INC.: interest expense
• GEORGE RISK INDUSTRIES, INC.: current liabilities
• GEORGE RISK INDUSTRIES, INC.: net finite-lived intangible assets
• GEORGE RISK INDUSTRIES, INC.: net current accounts receivable
• GEORGE RISK INDUSTRIES, INC.: common-stock repurchase payments
• GEORGE RISK INDUSTRIES, INC.: operating expenses
• GEORGE RISK INDUSTRIES, INC.: net inventory
• GEORGE RISK INDUSTRIES, INC.: gross profit

Inspect the source

Entity

GEORGE RISK INDUSTRIES, INC. / CIK 0000084112

Captured

2026-09-19T14:51:45.634Z

SEC response SHA-256

bffe28108ba1ced6e8efa057783de0b778afbfa8a992c4ee1e8f99c12c6f68ad

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/0000084112.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"])))