Whitestone REIT: 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 2026-09-21.

Selected filing history

Related financial histories

• Whitestone REIT: total assets
• Whitestone REIT: total liabilities
• Whitestone REIT: stockholders equity
• Whitestone REIT: cash and cash equivalents
• Whitestone REIT: net income or loss
• Whitestone REIT: operating cash flow
• Whitestone REIT: revenue
• Whitestone REIT: financing cash flow
• Whitestone REIT: investing cash flow
• Whitestone REIT: retained earnings or deficit
• Whitestone REIT: basic weighted-average shares
• Whitestone REIT: diluted weighted-average shares
• Whitestone REIT: basic earnings per share
• Whitestone REIT: income tax expense or benefit
• Whitestone REIT: share-based compensation expense
• Whitestone REIT: interest expense
• Whitestone REIT: common-stock repurchase payments
• Whitestone REIT: operating expenses
• Whitestone REIT: common shares outstanding
• Whitestone REIT: cash including restricted cash
• Whitestone REIT: additional paid-in capital
• Whitestone REIT: accumulated other comprehensive income or loss
• Whitestone REIT: total equity including noncontrolling interests
• Whitestone REIT: operating lease right-of-use asset
• Whitestone REIT: operating lease liability
• Whitestone REIT: long-term debt
• Whitestone REIT: profit or loss including noncontrolling interests
• Whitestone REIT: comprehensive income or loss
• Whitestone REIT: net income available to common stockholders
• Whitestone REIT: general and administrative expense
• Whitestone REIT: depreciation, depletion and amortization
• Whitestone REIT: nonoperating interest expense
• Whitestone REIT: nonoperating income or expense
• Whitestone REIT: interest paid, net
• Whitestone REIT: income taxes paid, net
• Whitestone REIT: proceeds from issuing common stock

Inspect the source

Entity

Whitestone REIT / CIK 0001175535

Captured

2026-09-21T17:18:34.632Z

SEC response SHA-256

7d7598b959478f90516400709778f5a3f4f900436eab89a86672b5405968511f

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/0001175535.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"])))