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FLASH SPORTS & MEDIA HOLDINGS, INC.: filings

Every FLASH SPORTS & MEDIA HOLDINGS, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 36 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-Q2026-08-13fiscal Q2 2026431000001213900-26-089089
10-Q2026-05-20fiscal Q1 202639700001213900-26-059249
10-K/A2026-04-21fiscal FY 202545870001213900-26-046211
10-K2026-04-15fiscal FY 202545870001213900-26-044091
10-Q2026-02-17fiscal Q3 2025411190001213900-26-017033
10-Q2026-02-10fiscal Q2 2025461330001213900-26-014222
10-Q2026-02-03fiscal Q1 202545920001213900-26-011613
10-K2026-01-16fiscal FY 2024501010001213900-26-005258
10-Q/A2025-02-19fiscal Q1 202447920001706524-25-000014
10-Q2025-02-18fiscal Q2 2024461310001706524-25-000012
10-Q2025-02-18fiscal Q3 2024461350001706524-25-000011
10-K/A2025-02-18fiscal FY 2024513880001706524-25-000008
10-Q2024-04-30fiscal Q1 202446930001706524-24-000028
10-K2024-03-28fiscal FY 202348980001706524-24-000014
10-Q2023-11-09fiscal Q3 2023481400001706524-23-000106
10-Q2023-08-14fiscal Q2 2023471340001706524-23-000080
10-Q2023-05-10fiscal Q1 202348980001706524-23-000041
10-K2023-03-30fiscal FY 2022501020001706524-23-000018
10-Q2022-11-10fiscal Q3 2022481290001493152-22-031364
10-Q2022-08-15fiscal Q2 2022481290001493152-22-023032
10-Q2022-05-10fiscal Q1 202245880001493152-22-012690
10-K2022-03-29fiscal FY 202143830001493152-22-008018
10-Q2021-11-09fiscal Q3 2021451230001493152-21-027672
10-Q2021-08-11fiscal Q2 2021411120001493152-21-019343
10-Q2021-05-11fiscal Q1 202137720001493152-21-011015
10-K2021-03-31fiscal FY 202040810001493152-21-007301
10-Q2020-11-03fiscal Q3 2020371020001683168-20-003648
10-Q2020-08-13fiscal Q2 2020391080001683168-20-002678
10-Q2020-07-06fiscal Q1 202040820001683168-20-002189
10-K2020-05-18fiscal FY 201947940001683168-20-001656
10-Q2019-11-19fiscal Q3 2019451260001683168-19-003755
10-Q2019-08-19fiscal Q2 2019461270001683168-19-002699
10-Q2019-05-20fiscal Q1 201945900001683168-19-001652
10-K2019-04-01fiscal FY 201842840001683168-19-000891
10-Q2018-11-19fiscal Q3 2018421110001683168-18-003495
10-Q2018-08-16fiscal Q2 2018411050001683168-18-002366

Inspect the source

Entity
FLASH SPORTS & MEDIA HOLDINGS, INC. / CIK 0001706524
Captured
2026-09-21T17:26:17.998Z
SEC response SHA-256
245dd704265ea446c11316bc8f2cfe138e0e40414a44d1d1d25702bb48d9ab3b

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/0001706524.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"])))