Cheniere Energy, 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 2016-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Cheniere Energy, Inc. / CIK 0000003570

Captured

2026-09-19T14:42:54.439Z

SEC response SHA-256

684f04fe4f6954f73f43187b2ffc28ce84963e21731c2acd83d59c86282f0fb3

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/0000003570.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"])))