QUAINT OAK BANCORP INC: diluted earnings per share

What this measure means

Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.

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

Selected filing history

Related financial histories

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

Inspect the source

Entity

QUAINT OAK BANCORP INC / CIK 0001391933

Captured

2026-09-20T07:59:28.704Z

SEC response SHA-256

a96bf46386010f12531b331192989f4efb7bebf6cc97ee3830cad55e8d33be71

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/0001391933.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"])))