American Eagle Outfitters, 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 2008-02-03 to 2026-01-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

American Eagle Outfitters, Inc. / CIK 0000919012

Captured

2026-09-20T05:07:45.343Z

SEC response SHA-256

f9cc6d7c6953048ba4c8f1444a5307ed1c56b6675e8d860271aef294f2fc04c8

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/0000919012.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"])))