DIME COMMERCIAL BANCSHARES, 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

DIME COMMERCIAL BANCSHARES, INC. / CIK 0000846617

Captured

2026-09-19T15:09:45.772Z

SEC response SHA-256

3462e168a785f5a178cf08432fcd25c0c0e254842fe88f97836e0ef6deffeded

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/0000846617.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"])))