First America Resources Corporation: operating cash flow

What this measure means

Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.

Exact concept: us-gaap:NetCashProvidedByUsedInOperatingActivities. 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 2010-07-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• First America Resources Corporation: total assets
• First America Resources Corporation: total liabilities
• First America Resources Corporation: stockholders equity
• First America Resources Corporation: cash and cash equivalents
• First America Resources Corporation: net income or loss
• First America Resources Corporation: revenue
• First America Resources Corporation: financing cash flow
• First America Resources Corporation: investing cash flow
• First America Resources Corporation: retained earnings or deficit
• First America Resources Corporation: basic earnings per share
• First America Resources Corporation: diluted earnings per share
• First America Resources Corporation: net property, plant and equipment
• First America Resources Corporation: operating income or loss
• First America Resources Corporation: current assets
• First America Resources Corporation: current liabilities
• First America Resources Corporation: current accounts payable
• First America Resources Corporation: operating expenses
• First America Resources Corporation: gross profit
• First America Resources Corporation: selling, general and administrative expense

Inspect the source

Entity

First America Resources Corporation / CIK 0001525306

Captured

2026-09-20T09:15:05.906Z

SEC response SHA-256

2c4284cb8c9da58d453a3d44b7efa6bd27648521140f371ac524bc230c39b8c9

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/0001525306.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"])))