AURA SYSTEMS, INC.: diluted weighted-average shares

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 2016-03-01 to 2026-02-28. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• AURA SYSTEMS, INC.: total assets
• AURA SYSTEMS, INC.: total liabilities
• AURA SYSTEMS, INC.: stockholders equity
• AURA SYSTEMS, INC.: cash and cash equivalents
• AURA SYSTEMS, INC.: net income or loss
• AURA SYSTEMS, INC.: operating cash flow
• AURA SYSTEMS, INC.: capital expenditure payments
• AURA SYSTEMS, INC.: revenue
• AURA SYSTEMS, INC.: financing cash flow
• AURA SYSTEMS, INC.: investing cash flow
• AURA SYSTEMS, INC.: retained earnings or deficit
• AURA SYSTEMS, INC.: basic weighted-average shares
• AURA SYSTEMS, INC.: basic earnings per share
• AURA SYSTEMS, INC.: diluted earnings per share
• AURA SYSTEMS, INC.: income tax expense or benefit
• AURA SYSTEMS, INC.: net property, plant and equipment
• AURA SYSTEMS, INC.: share-based compensation expense
• AURA SYSTEMS, INC.: operating income or loss
• AURA SYSTEMS, INC.: current assets
• AURA SYSTEMS, INC.: interest expense
• AURA SYSTEMS, INC.: current liabilities
• AURA SYSTEMS, INC.: current accounts payable
• AURA SYSTEMS, INC.: net current accounts receivable
• AURA SYSTEMS, INC.: operating expenses
• AURA SYSTEMS, INC.: net inventory
• AURA SYSTEMS, INC.: gross profit
• AURA SYSTEMS, INC.: selling, general and administrative expense
• AURA SYSTEMS, INC.: research and development expense

Inspect the source

Entity

AURA SYSTEMS, INC. / CIK 0000826253

Captured

2026-09-19T15:07:53.658Z

SEC response SHA-256

9ec1a9f0da2149707a0444dc3037f14a9b10a35c82c8040f5283275af0eea773

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/0000826253.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"])))