FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, 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 2013-11-01 to 2025-10-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: total assets
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: total liabilities
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: stockholders equity
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: cash and cash equivalents
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: net income or loss
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: operating cash flow
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: revenue
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: financing cash flow
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: investing cash flow
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: retained earnings or deficit
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: basic weighted-average shares
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: basic earnings per share
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: diluted earnings per share
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: share-based compensation expense
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: operating income or loss
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: interest expense
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: net current accounts receivable
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: common-stock repurchase payments
• FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC.: operating expenses

Inspect the source

Entity

FIRST REAL ESTATE INVESTMENT TRUST OF NEW JERSEY, INC. / CIK 0000036840

Captured

2026-09-19T14:46:52.839Z

SEC response SHA-256

e19782710aac3621e4469481cb824c42ea4e4292f0675262f38502cecf7e2037

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/0000036840.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"])))