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BRIGHTSTAR LOTTERY PLC: filings

Every BRIGHTSTAR LOTTERY PLC annual and quarterly report in the SEC record with the published financial measures it tagged, 11 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-F2026-02-24fiscal FY 2025541410001628280-26-011083
20-F2025-02-25fiscal FY 2024561470001619762-25-000007
20-F2024-03-12fiscal FY 2023571500001619762-24-000017
20-F2023-02-28fiscal FY 2022571500001619762-23-000014
20-F2022-03-03fiscal FY 2021571500001619762-22-000022
20-F2021-03-02fiscal FY 2020521350001619762-21-000010
20-F2020-03-03fiscal FY 2019531370001619762-20-000018
20-F2019-03-08fiscal FY 2018551470001619762-19-000007
20-F2018-03-15fiscal FY 2017501360001628280-18-003245
20-F2017-04-20fiscal FY 2016511390001628280-17-003934
20-F2016-04-29fiscal FY 2015441140001104659-16-116304

Inspect the source

Entity
BRIGHTSTAR LOTTERY PLC / CIK 0001619762
Captured
2026-09-21T17:21:44.000Z
SEC response SHA-256
417d0790a80026b0c4e2b8dedd886f784129b2499fe666a1f242f97a933f5b01

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/0001619762.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"])))