Skip to content

FAT Brands Inc.: filings

Every FAT Brands Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 33 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-Q2025-11-12fiscal Q3 2025531440001628280-25-051678
10-Q2025-07-31fiscal Q2 2025531440001628280-25-037033
10-Q2025-05-09fiscal Q1 2025531080001628280-25-024268
10-K2025-02-28fiscal FY 2024531090001628280-25-009125
10-Q2024-10-31fiscal Q3 2024511380001628280-24-044611
10-Q2024-08-01fiscal Q2 2024511380001628280-24-034062
10-Q2024-05-02fiscal Q1 2024511040001628280-24-020074
10-K2024-03-12fiscal FY 2023531090001628280-24-010647
10-Q2023-10-31fiscal Q3 2023491340001628280-23-035586
10-Q2023-08-04fiscal Q2 2023491340001628280-23-027514
10-Q2023-05-09fiscal Q1 202348980001628280-23-016795
10-K2023-02-24fiscal FY 2022511050001628280-23-005078
10-Q2022-10-21fiscal Q3 2022471250001628280-22-026810
10-Q2022-07-29fiscal Q2 2022471250001628280-22-019834
10-Q2022-05-10fiscal Q1 202246930001628280-22-013545
10-K2022-03-23fiscal FY 202147980001628280-22-007042
10-Q2021-11-08fiscal Q3 2021411120001628280-21-022206
10-Q2021-08-06fiscal Q2 202137960001493152-21-018784
10-Q2021-05-12fiscal Q1 202135720001493152-21-011137
10-K2021-03-29fiscal FY 202038760001493152-21-007061
10-Q2020-11-12fiscal Q3 202039990001493152-20-021090
10-Q2020-08-07fiscal Q2 202037970001493152-20-014906
10-Q2020-05-29fiscal Q1 202037750001493152-20-010071
10-K2020-04-28fiscal FY 201940760001493152-20-007184
10-Q2019-11-08fiscal Q3 2019411090001493152-19-016729
10-Q2019-08-14fiscal Q2 2019431110001493152-19-012644
10-Q2019-05-14fiscal Q1 201942790001493152-19-007133
10-K2019-03-29fiscal FY 201839720001493152-19-004280
10-Q2018-11-14fiscal Q3 201840680001493152-18-016167
10-Q2018-08-15fiscal Q2 201839660001493152-18-011963
10-Q2018-05-16fiscal Q1 201836500001493152-18-007247
10-K2018-04-02fiscal FY 201737380001493152-18-004457
10-Q2017-12-04fiscal Q2 2018990001493152-17-014138

Inspect the source

Entity
FAT Brands Inc. / CIK 0001705012
Captured
2026-09-21T17:24:12.914Z
SEC response SHA-256
81d8fa0273eac1b8753c6be00aabd4d02ddbd4e5fc321df19761071c219ba706

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/0001705012.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"])))