Shoe Station Group, 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 2010-01-31 to 2026-01-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• Shoe Station Group, Inc.: total assets
• Shoe Station Group, Inc.: total liabilities
• Shoe Station Group, Inc.: stockholders equity
• Shoe Station Group, Inc.: cash and cash equivalents
• Shoe Station Group, Inc.: net income or loss
• Shoe Station Group, Inc.: operating cash flow
• Shoe Station Group, Inc.: capital expenditure payments
• Shoe Station Group, Inc.: revenue
• Shoe Station Group, Inc.: contract revenue excluding tax
• Shoe Station Group, Inc.: financing cash flow
• Shoe Station Group, Inc.: investing cash flow
• Shoe Station Group, Inc.: retained earnings or deficit
• Shoe Station Group, Inc.: basic weighted-average shares
• Shoe Station Group, Inc.: basic earnings per share
• Shoe Station Group, Inc.: diluted earnings per share
• Shoe Station Group, Inc.: income tax expense or benefit
• Shoe Station Group, Inc.: net property, plant and equipment
• Shoe Station Group, Inc.: share-based compensation expense
• Shoe Station Group, Inc.: operating income or loss
• Shoe Station Group, Inc.: current assets
• Shoe Station Group, Inc.: interest expense
• Shoe Station Group, Inc.: current liabilities
• Shoe Station Group, Inc.: current accounts payable
• Shoe Station Group, Inc.: goodwill carrying amount
• Shoe Station Group, Inc.: net current accounts receivable
• Shoe Station Group, Inc.: common-stock repurchase payments
• Shoe Station Group, Inc.: net inventory
• Shoe Station Group, Inc.: gross profit
• Shoe Station Group, Inc.: selling, general and administrative expense

Inspect the source

Entity

Shoe Station Group, Inc. / CIK 0000895447

Captured

2026-09-20T05:04:22.384Z

SEC response SHA-256

9ce888e59b24594f11088320faa29a9c4a5fdd3b37dde6b273de6239b37f32bf

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/0000895447.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"])))