PEABODY ENERGY CORP: investing cash flow

What this measure means

Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.

Exact concept: us-gaap:NetCashProvidedByUsedInInvestingActivities. 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

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

Inspect the source

Entity

PEABODY ENERGY CORP / CIK 0001064728

Captured

2026-09-20T05:18:42.886Z

SEC response SHA-256

ff219440be899805e505fda7e0e4486ae88dd9167be9b0bfc11ca3ab2f15e41b

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/0001064728.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"])))