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Cambium Learning Group, Inc.: filings

Every Cambium Learning Group, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 30 filings, each linked to its SEC index.

Filing record ends 2018-11-01

The latest filing in this captured record is a 10-Q filed 2018-11-01. No later filing is in the SEC companyfacts record captured on 2026-09-22. Cambium Learning Group, Inc. 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-Q2018-11-01fiscal Q3 2018461310001466815-18-000056
10-Q2018-08-13fiscal Q2 2018411190001466815-18-000050
10-Q2018-05-14fiscal Q1 201841890001466815-18-000038
10-K2018-03-07fiscal FY 2017461360001466815-18-000016
10-Q2017-11-14fiscal Q3 2017381040001466815-17-000059
10-Q2017-08-10fiscal Q2 2017381040001466815-17-000042
10-Q2017-05-04fiscal Q1 201738780001466815-17-000023
10-K2017-03-14fiscal FY 2016471380001466815-17-000007
10-Q2016-11-10fiscal Q3 2016391080001466815-16-000010
10-Q2016-08-11fiscal Q2 2016391060001564590-16-023973
10-Q2016-05-05fiscal Q1 201639790001564590-16-017715
10-K2016-03-03fiscal FY 2015481390001564590-16-013921
10-Q2015-11-12fiscal Q3 2015391070001564590-15-010432
10-Q2015-08-13fiscal Q2 2015391070001564590-15-007163
10-Q2015-05-14fiscal Q1 201538770001564590-15-004302
10-K2015-03-17fiscal FY 2014481320001564590-15-001785
10-Q2014-11-06fiscal Q3 2014381040001564590-14-005184
10-Q2014-08-13fiscal Q2 2014381060001564590-14-003624
10-Q2014-05-08fiscal Q1 201438780001564590-14-001951
10-K2014-03-06fiscal FY 2013511380001564590-14-000629
10-Q2013-11-07fiscal Q3 2013411150001564590-13-001083
10-Q2013-08-08fiscal Q2 2013401100001564590-13-000262
10-Q2013-05-09fiscal Q1 201340850001193125-13-211239
10-K2013-03-08fiscal FY 2012511650001193125-13-098392
10-Q2012-11-09fiscal Q3 2012421090001193125-12-462369
10-Q2012-08-10fiscal Q2 2012411080001193125-12-349402
10-Q2012-05-11fiscal Q1 201239800001193125-12-227488
10-K2012-03-15fiscal FY 2011461180001193125-12-117294
10-Q2011-11-10fiscal Q3 2011411020000950123-11-097615
10-Q2011-08-10fiscal Q2 2011391010000950123-11-075588

Inspect the source

Entity
Cambium Learning Group, Inc. / CIK 0001466815
Captured
SEC response SHA-256
a60d3979b876b8f91b5a963daef5b3cede088c8f0f6b96666219eae4ece9cb77

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/0001466815.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"])))