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American Realty Investors, Inc: financing cash flow

Financing cash flow for American Realty Investors, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All American Realty Investors, Inc financial histories

What this measure means

Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.

Exact concept: us-gaap:NetCashProvidedByUsedInFinancingActivities. 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

Financing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3127,546,000USD2026-08-1910-K/A · 0001628280-26-057878
2024-01-012024-12-311,659,000USD2026-08-1910-K/A · 0001628280-26-057878
2023-01-012023-12-31-139,020,000USD2026-08-1910-K/A · 0001628280-26-057878
2022-01-012022-12-31-112,377,000USD2025-03-2010-K · 0001102238-25-000004
2021-01-012021-12-31-103,585,000USD2024-03-2110-K · 0001102238-24-000004
2020-01-012020-12-31-3,985,000USD2023-03-2310-K · 0001102238-23-000004
2019-01-012019-12-3121,042,000USD2022-03-2910-K · 0001102238-22-000004
2018-01-012018-12-3142,784,000USD2021-03-2610-K · 0001102238-21-000003
2017-01-012017-12-31152,771,000USD2020-03-3010-K · 0001387131-20-003381
2016-01-012016-12-3145,944,000USD2019-04-0110-K · 0001387131-19-002392
2015-01-012015-12-31167,790,000USD2018-04-0210-K · 0001387131-18-001363
2014-01-012014-12-31-4,655,000USD2015-03-3110-K · 0001010549-15-000092
2013-01-012013-12-31-206,577,000USD2015-03-3110-K · 0001010549-15-000092
2012-01-012012-12-31-53,884,000USD2015-03-3110-K · 0001010549-15-000092
2011-01-012011-12-31-20,015USD2014-03-3110-K · 0001010549-14-000141
2010-01-012010-12-31-81,322USD2013-04-0810-K · 0001010549-13-000237
2009-01-012009-12-31-24,646,000USD2012-04-0410-K · 0001193125-12-149436

Related financial histories

Inspect the source

Entity
American Realty Investors, Inc / CIK 0001102238
Captured
2026-09-20T05:23:10.606Z
SEC response SHA-256
5cae94df49c59e0e49678e39a63b6a08453f82a17bf8e01b827fd36130c602de

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001102238.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"])))