BUSINESS FIRST BANCSHARES, 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 2013-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• BUSINESS FIRST BANCSHARES, INC.: total assets
• BUSINESS FIRST BANCSHARES, INC.: total liabilities
• BUSINESS FIRST BANCSHARES, INC.: stockholders equity
• BUSINESS FIRST BANCSHARES, INC.: cash and cash equivalents
• BUSINESS FIRST BANCSHARES, INC.: net income or loss
• BUSINESS FIRST BANCSHARES, INC.: operating cash flow
• BUSINESS FIRST BANCSHARES, INC.: capital expenditure payments
• BUSINESS FIRST BANCSHARES, INC.: financing cash flow
• BUSINESS FIRST BANCSHARES, INC.: retained earnings or deficit
• BUSINESS FIRST BANCSHARES, INC.: basic weighted-average shares
• BUSINESS FIRST BANCSHARES, INC.: diluted weighted-average shares
• BUSINESS FIRST BANCSHARES, INC.: basic earnings per share
• BUSINESS FIRST BANCSHARES, INC.: diluted earnings per share
• BUSINESS FIRST BANCSHARES, INC.: income tax expense or benefit
• BUSINESS FIRST BANCSHARES, INC.: net property, plant and equipment
• BUSINESS FIRST BANCSHARES, INC.: share-based compensation expense
• BUSINESS FIRST BANCSHARES, INC.: interest expense
• BUSINESS FIRST BANCSHARES, INC.: goodwill carrying amount
• BUSINESS FIRST BANCSHARES, INC.: net finite-lived intangible assets
• BUSINESS FIRST BANCSHARES, INC.: common-stock repurchase payments

Inspect the source

Entity

BUSINESS FIRST BANCSHARES, INC. / CIK 0001624322

Captured

2026-09-21T17:21:49.185Z

SEC response SHA-256

b2aadb8f9631e67ba996b86190f7ea385304bfb35b59c59dca29a8f3f4df61d5

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/0001624322.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"])))