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LOOP MEDIA, INC.: filings

Every LOOP MEDIA, 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-Q2025-08-14fiscal Q3 2025471380001641172-25-023889
10-Q2025-05-15fiscal Q2 2025471340001641172-25-010677
10-Q2025-02-04fiscal Q1 202547960001493152-25-004826
10-K2024-12-12fiscal FY 202448940001493152-24-049828
10-Q2024-08-07fiscal Q3 2024471410001493152-24-030571
10-Q2024-05-03fiscal Q2 2024481350001558370-24-006674
10-Q2024-02-07fiscal Q1 202344900001558370-24-000824
10-K2023-12-19fiscal FY 202350980001558370-23-019889
10-Q2023-08-09fiscal Q3 2023491410001558370-23-014331
10-Q2023-05-15fiscal Q2 2023481350001558370-23-009658
10-Q2023-02-07fiscal Q3 202245890001558370-23-000984
10-K2022-12-20fiscal FY 2022511030001558370-22-018824
10-Q2022-08-12fiscal Q3 2022441310001558370-22-013380
10-Q2022-05-10fiscal Q2 2022441260001558370-22-007947
10-Q2022-02-14fiscal Q1 202242880001558370-22-001100
10-Q2021-08-10fiscal Q2 2021371010001558370-21-011034
10-Q2021-05-13fiscal Q1 202139790001558370-21-006962
10-K2021-04-15fiscal FY 202042840001387131-21-004517
10-Q2020-02-19fiscal Q2 2020381030001393905-20-000054
10-Q2019-11-15fiscal Q1 202037730001393905-19-000326
10-K2019-10-15fiscal FY 201939800001393905-19-000296
10-Q2019-05-20fiscal Q3 2019381050001393905-19-000171
10-Q/A2019-03-08fiscal Q2 201936870001393905-19-000070
10-Q2019-02-19fiscal Q2 201936870001393905-19-000057
10-Q2018-11-13fiscal Q1 201931570001393905-18-000332
10-K2018-09-28fiscal FY 201832610001393905-18-000289
10-Q2018-05-21fiscal Q3 201832780001393905-18-000190
10-Q2018-02-20fiscal Q2 201830680001393905-18-000065
10-Q2017-11-14fiscal Q1 201827520001393905-17-000354
10-K2017-10-13fiscal FY 201727540001393905-17-000311
10-Q2017-05-10fiscal Q3 201726700001393905-17-000122
10-Q2017-02-14fiscal Q2 201723590001393905-17-000027
10-Q2016-11-09fiscal Q1 201723460001393905-16-001079
10-K2016-10-13fiscal FY 201625450001393905-16-001060
10-Q2016-05-16fiscal Q3 201624400001393905-16-000907
10-Q2016-02-12fiscal Q2 201622370001393905-16-000727
10-Q2015-11-16fiscal Q1 201620290001393905-15-000610

Inspect the source

Entity
LOOP MEDIA, INC. / CIK 0001643988
Captured
2026-09-21T17:23:07.806Z
SEC response SHA-256
30d1d11922975c8ef6e46d28109048b369b496f285699988e2ad45242cd498cf

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/0001643988.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"])))