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National CineMedia, LLC: filings

Every National CineMedia, LLC annual and quarterly report in the SEC record with the published financial measures it tagged, 32 filings, each linked to its SEC index.

Filing record ends 2019-08-07

The latest filing in this captured record is a 10-Q filed 2019-08-07. No later filing is in the SEC companyfacts record captured on 2026-09-22. National CineMedia, 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-Q2019-08-07fiscal Q2 201935930001527190-19-000009
10-Q2019-05-07fiscal Q1 201935710001527190-19-000007
10-K2019-02-25fiscal FY 2018341110001527190-19-000003
10-Q2018-11-05fiscal Q3 201830800001527190-18-000008
10-Q2018-08-07fiscal Q2 201829760001527190-18-000004
10-Q2018-05-09fiscal Q1 201826530001564590-18-012074
10-K2018-03-14fiscal FY 2017321010001564590-18-005631
10-Q2017-11-08fiscal Q3 201724590001564590-17-022454
10-Q2017-08-09fiscal Q2 201723580001564590-17-016715
10-Q2017-05-08fiscal Q1 201723480001564590-17-009219
10-K2017-02-28fiscal FY 201630980001564590-17-002697
10-Q2016-11-09fiscal Q3 201625650001564590-16-028456
10-Q2016-08-10fiscal Q2 201625640001564590-16-023803
10-Q2016-05-09fiscal Q1 201626530001564590-16-018407
10-K2016-03-02fiscal FY 2015311140001564590-16-013837
10-Q2015-11-10fiscal Q3 201526720001564590-15-010320
10-Q2015-08-11fiscal Q2 201525700001564590-15-006904
10-Q2015-05-13fiscal Q1 201525530001193125-15-184781
10-K2015-03-10fiscal FY 2014301110001193125-15-084177
10-Q2014-11-05fiscal Q3 201426710001193125-14-397385
10-Q2014-08-06fiscal Q2 201427740001193125-14-296787
10-Q2014-05-07fiscal Q1 201428590001193125-14-186029
10-K2014-03-04fiscal FY 2013321170001193125-14-081264
10-Q2013-11-05fiscal Q3 201328750001193125-13-426480
10-Q2013-08-07fiscal Q2 201329750001193125-13-323134
10-Q2013-05-08fiscal Q1 201329590001193125-13-205846
10-K2013-03-21fiscal FY 2012331200001193125-13-118117
10-Q2012-11-07fiscal Q3 201229760001193125-12-455434
10-Q2012-08-08fiscal Q2 201230780001193125-12-343510
10-Q2012-05-09fiscal Q1 201229600001193125-12-219705
10-K2012-03-21fiscal FY 201129770001193125-12-124601
10-Q2011-11-09fiscal Q3 201127700001193125-11-302924

Inspect the source

Entity
National CineMedia, LLC / CIK 0001527190
Captured
SEC response SHA-256
4a7f2bbad9f35333492e39a0c4499918f97c4f089aa53681e7116d769fea3bc1

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/0001527190.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"])))