UMeWorld Inc.: 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 2009-10-01 to 2023-09-30. The SEC response was captured on 2026-09-20.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Related financial histories

• UMeWorld Inc.: total assets
• UMeWorld Inc.: total liabilities
• UMeWorld Inc.: stockholders equity
• UMeWorld Inc.: cash and cash equivalents
• UMeWorld Inc.: net income or loss
• UMeWorld Inc.: operating cash flow
• UMeWorld Inc.: capital expenditure payments
• UMeWorld Inc.: revenue
• UMeWorld Inc.: financing cash flow
• UMeWorld Inc.: retained earnings or deficit
• UMeWorld Inc.: diluted weighted-average shares
• UMeWorld Inc.: diluted earnings per share
• UMeWorld Inc.: net property, plant and equipment
• UMeWorld Inc.: share-based compensation expense
• UMeWorld Inc.: operating income or loss
• UMeWorld Inc.: current assets
• UMeWorld Inc.: interest expense
• UMeWorld Inc.: current liabilities
• UMeWorld Inc.: current accounts payable
• UMeWorld Inc.: net current accounts receivable
• UMeWorld Inc.: operating expenses
• UMeWorld Inc.: net inventory
• UMeWorld Inc.: gross profit
• UMeWorld Inc.: cost of revenue

Inspect the source

Entity

UMeWorld Inc. / CIK 0001114936

Captured

2026-09-20T05:24:25.954Z

SEC response SHA-256

f1582ada7642c45c0b044a960fc6e292b4ecab89cde4b42e37c15c768c109e40

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/0001114936.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"])))