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Endurance International Group Holdings, Inc.: filings

Every Endurance International Group Holdings, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 29 filings, each linked to its SEC index.

Filing record ends 2020-11-09

The latest filing in this captured record is a 10-Q filed 2020-11-09. No later filing is in the SEC companyfacts record captured on 2026-09-22. Endurance International Group Holdings, 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-Q2020-11-09fiscal Q3 2020561710001628280-20-016088
10-Q2020-08-06fiscal Q2 2020561690001628280-20-012001
10-Q2020-05-06fiscal Q1 2020561210001628280-20-006695
10-K2020-02-14fiscal FY 2019581960001628280-20-001590
10-Q2019-11-04fiscal Q3 2019561670001628280-19-013182
10-Q2019-08-05fiscal Q2 2019551610001628280-19-009936
10-Q2019-05-03fiscal Q1 2019551110001628280-19-005836
10-K2019-02-21fiscal FY 2018551920001628280-19-001696
10-Q2018-11-02fiscal Q3 2018531820001628280-18-013456
10-Q2018-08-02fiscal Q2 2018511430001628280-18-010336
10-Q2018-05-04fiscal Q1 2018511030001628280-18-005988
10-K2018-02-22fiscal FY 2017491720001628280-18-002065
10-Q2017-11-03fiscal Q3 2017491400001628280-17-010854
10-Q2017-08-04fiscal Q2 2017451320001628280-17-008109
10-Q2017-05-09fiscal Q1 201745930001628280-17-005249
10-K2017-02-24fiscal FY 2016451610001628280-17-001732
10-Q2016-11-04fiscal Q3 2016401080001193125-16-760305
10-Q2016-08-08fiscal Q2 2016391050001193125-16-675299
10-Q2016-05-09fiscal Q1 201642860001193125-16-583991
10-K2016-02-29fiscal FY 2015421440001193125-16-485478
10-Q2015-11-06fiscal Q3 2015381050001193125-15-370319
10-Q2015-08-07fiscal Q2 2015371020001193125-15-283279
10-Q2015-05-11fiscal Q1 201541840001193125-15-180594
10-K2015-02-27fiscal FY 2014421430001193125-15-069664
10-Q2014-11-07fiscal Q3 2014381060001193125-14-402080
10-Q2014-08-08fiscal Q2 2014401080001193125-14-303129
10-Q2014-05-09fiscal Q1 201445900001193125-14-192500
10-K2014-02-28fiscal FY 201331920001193125-14-077774
10-Q2013-12-06fiscal Q3 2013411280001193125-13-465191

Inspect the source

Entity
Endurance International Group Holdings, Inc. / CIK 0001237746
Captured
SEC response SHA-256
000c338639792fdeef1f521d831940be62e21f0733e388a6e2f8e6eab4c53be2

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/0001237746.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"])))