INCOME OPPORTUNITY REALTY INVESTORS, INC.: investing cash flow

What this measure means

Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.

Exact concept: us-gaap:NetCashProvidedByUsedInInvestingActivities. 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 2026-09-20.

Selected filing history

Related financial histories

• INCOME OPPORTUNITY REALTY INVESTORS, INC.: total assets
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: total liabilities
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: stockholders equity
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: cash and cash equivalents
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: net income or loss
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: operating cash flow
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: financing cash flow
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: retained earnings or deficit
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: basic weighted-average shares
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: diluted weighted-average shares
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: basic earnings per share
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: diluted earnings per share
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: income tax expense or benefit
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: operating income or loss
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: current assets
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: interest expense
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: current accounts payable
• INCOME OPPORTUNITY REALTY INVESTORS, INC.: operating expenses

Inspect the source

Entity

INCOME OPPORTUNITY REALTY INVESTORS, INC. / CIK 0000949961

Captured

2026-09-20T05:10:50.584Z

SEC response SHA-256

ee47292386be4111ad318bb1362a7bdf80405f8375fe1326904e1b159ca90bf6

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/0000949961.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"])))