BANCORP 34, INC.: common-stock repurchase payments

What this measure means

Cash paid to reacquire common stock during the period. This is not an authorization limit or a direct measure of the net change in share count.

Exact concept: us-gaap:PaymentsForRepurchaseOfCommonStock. 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 2016-01-01 to 2023-12-31. The SEC response was captured on 2026-09-21.

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

• BANCORP 34, INC.: total assets
• BANCORP 34, INC.: total liabilities
• BANCORP 34, INC.: stockholders equity
• BANCORP 34, INC.: cash and cash equivalents
• BANCORP 34, INC.: net income or loss
• BANCORP 34, INC.: operating cash flow
• BANCORP 34, INC.: capital expenditure payments
• BANCORP 34, INC.: financing cash flow
• BANCORP 34, INC.: investing cash flow
• BANCORP 34, INC.: retained earnings or deficit
• BANCORP 34, INC.: basic weighted-average shares
• BANCORP 34, INC.: diluted weighted-average shares
• BANCORP 34, INC.: basic earnings per share
• BANCORP 34, INC.: diluted earnings per share
• BANCORP 34, INC.: income tax expense or benefit
• BANCORP 34, INC.: net property, plant and equipment
• BANCORP 34, INC.: share-based compensation expense
• BANCORP 34, INC.: interest expense
• BANCORP 34, INC.: net finite-lived intangible assets

Inspect the source

Entity

BANCORP 34, INC. / CIK 0001668340

Captured

2026-09-21T17:23:18.527Z

SEC response SHA-256

07184790dc8013c3e61ff2ab9dd5ad75fa0ef03d5f10ae880f06d64cfb849afd

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/0001668340.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"])))