CARVER BANCORP, INC.: diluted weighted-average shares

What this measure means

Weighted-average shares used for diluted earnings per share. Potential shares are included under the applicable dilution rules, not simply added to outstanding shares.

Exact concept: us-gaap:WeightedAverageNumberOfDilutedSharesOutstanding. 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 2010-04-01 to 2025-03-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• CARVER BANCORP, INC.: total assets
• CARVER BANCORP, INC.: total liabilities
• CARVER BANCORP, INC.: stockholders equity
• CARVER BANCORP, INC.: cash and cash equivalents
• CARVER BANCORP, INC.: net income or loss
• CARVER BANCORP, INC.: operating cash flow
• CARVER BANCORP, INC.: capital expenditure payments
• CARVER BANCORP, INC.: contract revenue excluding tax
• CARVER BANCORP, INC.: financing cash flow
• CARVER BANCORP, INC.: investing cash flow
• CARVER BANCORP, INC.: retained earnings or deficit
• CARVER BANCORP, INC.: basic weighted-average shares
• CARVER BANCORP, INC.: basic earnings per share
• CARVER BANCORP, INC.: diluted earnings per share
• CARVER BANCORP, INC.: income tax expense or benefit
• CARVER BANCORP, INC.: net property, plant and equipment
• CARVER BANCORP, INC.: share-based compensation expense
• CARVER BANCORP, INC.: operating income or loss
• CARVER BANCORP, INC.: interest expense
• CARVER BANCORP, INC.: common-stock repurchase payments
• CARVER BANCORP, INC.: operating expenses
• CARVER BANCORP, INC.: selling, general and administrative expense

Inspect the source

Entity

CARVER BANCORP, INC. / CIK 0001016178

Captured

2026-09-20T05:12:58.948Z

SEC response SHA-256

ee7c56123d33071e88f2377399323407f462cf4ed5b03546ae003d4cc92debe4

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/0001016178.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"])))