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NEW YORK REIT LIQUIDATING LLC: filings

Every NEW YORK REIT LIQUIDATING LLC annual and quarterly report in the SEC record with the published financial measures it tagged, 28 filings, each linked to its SEC index.

Filing record ends 2019-03-15

The latest filing in this captured record is a 10-K filed 2019-03-15. No later filing is in the SEC companyfacts record captured on 2026-09-21. NEW YORK REIT LIQUIDATING LLC may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

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-K2019-03-15fiscal FY 201813220001193125-19-076902
10-K2018-03-01fiscal FY 201719490001193125-18-066868
10-Q2017-11-09fiscal Q3 201719310001193125-17-339024
10-Q2017-08-09fiscal Q2 201718290001193125-17-252808
10-Q2017-05-10fiscal Q1 201724280001193125-17-166012
10-K2017-03-01fiscal FY 2016301120001474464-17-000008
10-Q2016-11-09fiscal Q3 201624680001474464-16-000051
10-Q2016-08-09fiscal Q2 201624680001474464-16-000045
10-Q2016-05-10fiscal Q1 201627560001474464-16-000039
10-K2016-02-26fiscal FY 2015301260001474464-16-000032
10-Q2015-11-09fiscal Q3 201529880001474464-15-000027
10-Q2015-08-07fiscal Q2 201524680001474464-15-000021
10-Q2015-05-11fiscal Q1 201525520001474464-15-000013
10-K2015-05-11fiscal FY 2014311330001474464-15-000010
10-Q2014-11-04fiscal Q3 201429860001474464-14-000033
10-Q2014-08-08fiscal Q2 201429860001474464-14-000025
10-Q2014-05-14fiscal Q1 201425520001474464-14-000021
10-K2014-02-28fiscal FY 2013311150001474464-14-000007
10-Q2013-11-13fiscal Q3 201327780001474464-13-000025
10-Q2013-08-13fiscal Q2 201329860001474464-13-000019
10-Q2013-05-10fiscal Q1 201325530001474464-13-000015
10-K2013-03-07fiscal FY 201227990001474464-13-000007
10-Q2012-11-13fiscal Q3 201226740001474464-12-000019
10-Q2012-08-07fiscal Q2 201227750001474464-12-000014
10-Q2012-05-10fiscal Q1 201226540001474464-12-000004
10-K2012-02-29fiscal FY 201124610001445305-12-000541
10-Q2011-11-14fiscal Q3 201124550001445305-11-003402
10-Q2011-08-12fiscal Q2 201123590001144204-11-046103

11 further filings tag fewer than eight published concepts and have no page.

Inspect the source

Entity
NEW YORK REIT LIQUIDATING LLC / CIK 0001474464
Captured
2026-09-21T17:20:08.478Z
SEC response SHA-256
b1184c149aaff89177a9951a1a411c8a5a66fd1cfcc94f610dd0004ec5413cb8

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/0001474464.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"])))