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CHECK POINT SOFTWARE TECHNOLOGIES LTD.: filings

Every CHECK POINT SOFTWARE TECHNOLOGIES LTD. annual and quarterly report in the SEC record with the published financial measures it tagged, 16 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
20-F2026-03-31fiscal FY 2025481250001178913-26-001932
20-F2025-03-17fiscal FY 2024481250001178913-25-000867
20-F2024-04-02fiscal FY 2023491260001178913-24-001196
20-F2023-04-27fiscal FY 2022491260001193125-23-122355
20-F2022-04-14fiscal FY 2021491260001193125-22-105648
20-F2021-04-02fiscal FY 2020491270001193125-21-104893
20-F2020-04-02fiscal FY 2019501330001193125-20-095941
20-F2019-04-23fiscal FY 2018481290001193125-19-114952
20-F2018-04-27fiscal FY 2017431130001193125-18-138808
20-F2017-04-28fiscal FY 2016431140001193125-17-148090
20-F2016-04-28fiscal FY 2015431140001193125-16-564301
20-F2015-04-24fiscal FY 2014431120001193125-15-146312
20-F2014-03-28fiscal FY 2013461210001193125-14-121617
20-F2013-03-19fiscal FY 2012451170001193125-13-115148
20-F2012-04-09fiscal FY 2011451180001193125-12-155119
20-F2011-04-01fiscal FY 201037990001193125-11-086946

Inspect the source

Entity
CHECK POINT SOFTWARE TECHNOLOGIES LTD. / CIK 0001015922
Captured
2026-09-20T05:12:57.355Z
SEC response SHA-256
34ca1832a7100e11f5e3e5fe58c94e6e46e9a230d46806d9f305e5453f632e49

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/0001015922.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"])))