GOLIATH FILM AND MEDIA HOLDINGS: financing cash flow

What this measure means

Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.

Exact concept: us-gaap:NetCashProvidedByUsedInFinancingActivities. 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 2010-05-01 to 2026-04-30. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• GOLIATH FILM AND MEDIA HOLDINGS: total assets
• GOLIATH FILM AND MEDIA HOLDINGS: total liabilities
• GOLIATH FILM AND MEDIA HOLDINGS: stockholders equity
• GOLIATH FILM AND MEDIA HOLDINGS: cash and cash equivalents
• GOLIATH FILM AND MEDIA HOLDINGS: net income or loss
• GOLIATH FILM AND MEDIA HOLDINGS: operating cash flow
• GOLIATH FILM AND MEDIA HOLDINGS: contract revenue excluding tax
• GOLIATH FILM AND MEDIA HOLDINGS: investing cash flow
• GOLIATH FILM AND MEDIA HOLDINGS: retained earnings or deficit
• GOLIATH FILM AND MEDIA HOLDINGS: basic weighted-average shares
• GOLIATH FILM AND MEDIA HOLDINGS: diluted weighted-average shares
• GOLIATH FILM AND MEDIA HOLDINGS: income tax expense or benefit
• GOLIATH FILM AND MEDIA HOLDINGS: operating income or loss
• GOLIATH FILM AND MEDIA HOLDINGS: current assets
• GOLIATH FILM AND MEDIA HOLDINGS: interest expense
• GOLIATH FILM AND MEDIA HOLDINGS: current liabilities
• GOLIATH FILM AND MEDIA HOLDINGS: current accounts payable
• GOLIATH FILM AND MEDIA HOLDINGS: operating expenses
• GOLIATH FILM AND MEDIA HOLDINGS: gross profit

Inspect the source

Entity

GOLIATH FILM AND MEDIA HOLDINGS / CIK 0000820771

Captured

2026-09-19T15:07:20.921Z

SEC response SHA-256

5c5b3e6e19b4eb4c4d493ca7c4b89a91f06f4d335a103d2b0d3c08a23b09dc6b

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/0000820771.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"])))