TANDY LEATHER FACTORY, 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• TANDY LEATHER FACTORY, INC: total assets
• TANDY LEATHER FACTORY, INC: stockholders equity
• TANDY LEATHER FACTORY, INC: cash and cash equivalents
• TANDY LEATHER FACTORY, INC: net income or loss
• TANDY LEATHER FACTORY, INC: operating cash flow
• TANDY LEATHER FACTORY, INC: capital expenditure payments
• TANDY LEATHER FACTORY, INC: contract revenue excluding tax
• TANDY LEATHER FACTORY, INC: financing cash flow
• TANDY LEATHER FACTORY, INC: retained earnings or deficit
• TANDY LEATHER FACTORY, INC: basic weighted-average shares
• TANDY LEATHER FACTORY, INC: diluted weighted-average shares
• TANDY LEATHER FACTORY, INC: basic earnings per share
• TANDY LEATHER FACTORY, INC: diluted earnings per share
• TANDY LEATHER FACTORY, INC: income tax expense or benefit
• TANDY LEATHER FACTORY, INC: net property, plant and equipment
• TANDY LEATHER FACTORY, INC: share-based compensation expense
• TANDY LEATHER FACTORY, INC: operating income or loss
• TANDY LEATHER FACTORY, INC: current assets
• TANDY LEATHER FACTORY, INC: interest expense
• TANDY LEATHER FACTORY, INC: current liabilities
• TANDY LEATHER FACTORY, INC: current accounts payable
• TANDY LEATHER FACTORY, INC: goodwill carrying amount
• TANDY LEATHER FACTORY, INC: net finite-lived intangible assets
• TANDY LEATHER FACTORY, INC: net current accounts receivable
• TANDY LEATHER FACTORY, INC: common-stock repurchase payments
• TANDY LEATHER FACTORY, INC: operating expenses
• TANDY LEATHER FACTORY, INC: net inventory
• TANDY LEATHER FACTORY, INC: gross profit

Inspect the source

Entity

TANDY LEATHER FACTORY, INC / CIK 0000909724

Captured

2026-09-20T05:06:00.291Z

SEC response SHA-256

1c0af00d1f947d3dfb4249dc637cf3789ba25424668485ba576816b21e3ace2a

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/0000909724.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"])))