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CDK GLOBAL, INC.: filings

Every CDK GLOBAL, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 31 filings, each linked to its SEC index.

Filing record ends 2022-05-05

The latest filing in this captured record is a 10-Q filed 2022-05-05. No later filing is in the SEC companyfacts record captured on 2026-09-22. CDK GLOBAL, 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-Q2022-05-05fiscal Q3 2022461290001609702-22-000036
10-Q2022-02-04fiscal Q2 2022461290001609702-22-000011
10-Q2021-11-03fiscal Q1 202246970001609702-21-000078
10-K2021-08-18fiscal FY 2021551950001609702-21-000058
10-Q2021-05-07fiscal Q3 2021451280001609702-21-000038
10-Q2021-02-09fiscal Q2 2021451270001609702-21-000005
10-Q2020-11-03fiscal Q1 202146970001609702-20-000024
10-K2020-08-06fiscal FY 2020561960001609702-20-000015
10-Q2020-05-06fiscal Q3 2020521390001609702-20-000010
10-Q2020-02-05fiscal Q2 2020521390001609702-20-000004
10-Q2019-11-06fiscal Q1 2020521070001609702-19-000020
10-K2019-08-14fiscal FY 2019511950001609702-19-000015
10-Q2019-04-30fiscal Q3 2019481450001609702-19-000011
10-Q2019-02-05fiscal Q2 2019481420001609702-19-000006
10-Q2018-11-07fiscal Q1 2019451000001609702-18-000040
10-K2018-08-14fiscal FY 2018491770001609702-18-000034
10-Q2018-04-26fiscal Q3 2018421160001609702-18-000024
10-Q2018-01-30fiscal Q2 2018421160001609702-18-000005
10-Q2017-10-31fiscal Q1 201842860001609702-17-000022
10-K2017-08-08fiscal FY 2017491770001609702-17-000016
10-Q2017-05-02fiscal Q3 2017421160001609702-17-000008
10-Q2017-02-02fiscal Q2 2017421160001609702-17-000005
10-Q2016-11-02fiscal Q1 201742860001609702-16-000050
10-K2016-08-09fiscal FY 2016491770001609702-16-000046
10-Q2016-05-05fiscal Q3 2016421160001609702-16-000041
10-Q2016-02-03fiscal Q2 2016431170001609702-16-000037
10-Q2015-11-03fiscal Q1 201643870001609702-15-000025
10-K2015-08-13fiscal FY 2015491770001609702-15-000013
10-Q2015-04-30fiscal Q3 2015441190001609702-15-000009
10-Q2015-02-05fiscal Q2 2015371010001609702-15-000004
10-Q2014-11-13fiscal Q1 201532640001609702-14-000006

Inspect the source

Entity
CDK GLOBAL, INC. / CIK 0001609702
Captured
SEC response SHA-256
447ef11ef90f62415a49d33904f71745f79b252cbca2bc3d478ca424814409b8

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/0001609702.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"])))