AMDOCS LIMITED: 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 2006-10-01 to 2024-09-30. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

AMDOCS LIMITED / CIK 0001062579

Captured

2026-09-20T05:18:36.858Z

SEC response SHA-256

96c7d30dd6303a23b60689c7250a4fff68393c9d49cbeeb79667518929e3c61e

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/0001062579.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"])))