Gen Digital Inc.: diluted earnings per share

What this measure means

Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.

Exact concept: us-gaap:EarningsPerShareDiluted. 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 2007-04-05 to 2026-04-03. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Gen Digital Inc. / CIK 0000849399

Captured

2026-09-19T15:09:59.337Z

SEC response SHA-256

1ab96531b9c9e367514ad0e1b6e81b0749f553760fe2b87e5a77f69bb29de44f

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/0000849399.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"])))