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ADT Inc.: filings

Every ADT Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 37 filings, each linked to its SEC index.

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-Q2026-07-30fiscal Q2 2026401060001703056-26-000100
10-Q2026-04-30fiscal Q1 202640840001703056-26-000059
10-K2026-03-02fiscal FY 2025481220001703056-26-000022
10-Q2025-11-04fiscal Q3 2025401060001703056-25-000166
10-Q2025-07-24fiscal Q2 2025401060001703056-25-000139
10-Q2025-04-24fiscal Q1 202540840001703056-25-000069
10-K2025-02-27fiscal FY 2024491490001703056-25-000022
10-Q2024-10-24fiscal Q3 2024401060001703056-24-000107
10-Q2024-08-01fiscal Q2 2024401060001703056-24-000089
10-Q2024-04-25fiscal Q1 202440840001703056-24-000051
10-K2024-02-28fiscal FY 2023481480001703056-24-000020
10-Q2023-11-02fiscal Q3 2023391040001703056-23-000187
10-Q2023-08-08fiscal Q2 2023391040001703056-23-000157
10-Q/A2023-07-27fiscal Q1 202339820001703056-23-000147
10-K/A2023-07-27fiscal FY 2022481240001703056-23-000146
10-Q/A2023-07-27fiscal Q3 2022401060001703056-23-000145
10-Q2023-05-02fiscal Q1 202339820001703056-23-000105
10-K2023-02-28fiscal FY 2022481240001703056-23-000046
10-Q2022-11-03fiscal Q3 2022411100001703056-22-000222
10-Q2022-08-04fiscal Q2 2022411100001703056-22-000178
10-Q2022-05-06fiscal Q1 202241860001703056-22-000126
10-K2022-03-01fiscal FY 2021501280001703056-22-000042
10-Q2021-11-09fiscal Q3 2021381010001703056-21-000181
10-Q2021-08-04fiscal Q2 202137980001703056-21-000145
10-Q2021-05-05fiscal Q1 202139820001703056-21-000095
10-K2021-02-25fiscal FY 2020501410001703056-21-000020
10-Q2020-11-05fiscal Q3 2020411070001703056-20-000125
10-Q2020-08-05fiscal Q2 2020411060001703056-20-000107
10-Q2020-05-07fiscal Q1 202041860001703056-20-000074
10-K2020-03-10fiscal FY 2019521690001703056-20-000013
10-Q2019-11-12fiscal Q3 2019411070001703056-19-000105
10-Q2019-08-06fiscal Q2 2019411070001703056-19-000099
10-Q2019-05-07fiscal Q1 201941870001703056-19-000081
10-K2019-03-11fiscal FY 2018491620001703056-19-000042
10-Q2018-11-08fiscal Q3 2018381000001703056-18-000083
10-Q2018-08-09fiscal Q2 201836960001703056-18-000036
10-Q2018-05-09fiscal Q1 201836780001703056-18-000014

Inspect the source

Entity
ADT Inc. / CIK 0001703056
Captured
2026-09-21T17:24:06.979Z
SEC response SHA-256
9331a749df5f07fd2dbaffb8d4e7e1ba9cb89310f84300437186e93c57f45a62

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/0001703056.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"])))