UnitedHealth Group Incorporated: 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 2007-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

UnitedHealth Group Incorporated / CIK 0000731766

Captured

2026-09-19T15:00:48.561Z

SEC response SHA-256

6c9dff59732b7c597542b2d5eadaae0313ca0de03defdba2c00203e693632d76

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/0000731766.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"])))