eBay 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 2007-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

eBay Inc. / CIK 0001065088

Captured

2026-09-20T05:18:47.363Z

SEC response SHA-256

2a70f5a1a257f32a897035c25960fe09faf96940ad51d65515203c8709e362ff

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/0001065088.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"])))