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IRONSTONE PROPERTIES, INC.: filings

Every IRONSTONE PROPERTIES, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 37 filings, each linked to its SEC index.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-Q2026-08-18fiscal Q2 202619530001437749-26-028352
10-Q2026-05-18fiscal Q1 202620400001437749-26-017480
10-K2026-03-27fiscal FY 202521530001437749-26-010024
10-Q2025-11-12fiscal Q3 202520550001437749-25-034139
10-Q2025-08-15fiscal Q2 202521590001437749-25-027149
10-Q2025-05-19fiscal Q1 202521410001437749-25-017597
10-K2025-04-16fiscal FY 202422580001437749-25-012105
10-Q2024-11-12fiscal Q3 202421650001437749-24-034475
10-Q2024-09-19fiscal Q2 202421590001437749-24-029499
10-K2024-09-19fiscal FY 202324640001437749-24-029498
10-K2023-05-17fiscal FY 202224620001437749-23-014857
10-Q2022-11-22fiscal FY 202222590001437749-22-027891
10-Q2022-08-08fiscal Q2 202221580001437749-22-019319
10-Q2022-05-17fiscal Q1 202221410001437749-22-012788
10-K2022-03-31fiscal FY 202122600001437749-22-007883
10-Q2021-11-08fiscal Q3 202120560001437749-21-025708
10-Q2021-08-20fiscal Q2 202120550001437749-21-020595
10-Q/A2021-06-28fiscal Q1 202119360001437749-21-015768
10-Q2021-06-17fiscal Q1 202119370001437749-21-015094
10-Q2015-11-13fiscal Q3 201519550001437749-15-020772
10-Q2015-08-18fiscal Q2 201520560001437749-15-016094
10-Q2015-05-20fiscal Q1 201520370001437749-15-010689
10-K2015-04-15fiscal FY 201421430001437749-15-007439
10-Q2014-11-14fiscal Q3 201420570001437749-14-020819
10-Q2014-08-14fiscal Q2 201416420001437749-14-015463
10-Q2014-05-14fiscal Q1 201416290001437749-14-008989
10-K2014-04-15fiscal FY 201316300001437749-14-006618
10-Q2013-11-13fiscal Q3 201315350001437749-13-014547
10-Q2013-08-13fiscal Q2 201314340001437749-13-010601
10-Q2013-05-09fiscal Q1 201314270001437749-13-005661
10-K2013-03-27fiscal FY 201214270001437749-13-003519
10-Q2012-11-19fiscal Q3 201220570001437749-12-011968
10-Q2012-08-14fiscal Q2 201216410001437749-12-008361
10-Q2012-05-21fiscal Q1 201216330001437749-12-005306
10-K2012-03-28fiscal FY 201115320001437749-12-002859
10-Q2011-11-14fiscal Q3 201114400001437749-11-008465
10-Q2011-07-29fiscal Q2 201114390001437749-11-005226

Inspect the source

Entity
IRONSTONE PROPERTIES, INC. / CIK 0000723269
Captured
2026-09-21T17:17:10.783Z
SEC response SHA-256
217c6f75d314a9c279b5aabaee749a91c367f54ddaba406d603ae5a97834e150

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

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/0000723269.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"])))