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GENUFOOD ENERGY ENZYMES CORP.: filings

Every GENUFOOD ENERGY ENZYMES CORP. annual and quarterly report in the SEC record with the published financial measures it tagged, 30 filings, each linked to its SEC index.

Filing record ends 2024-02-20

The latest filing in this captured record is a 10-Q filed 2024-02-20. No later filing is in the SEC companyfacts record captured on 2026-09-22. GENUFOOD ENERGY ENZYMES CORP. may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

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-Q2024-02-20fiscal Q1 202429570001213900-24-015210
10-K2024-01-12fiscal FY 202332590001213900-24-003308
10-Q/A2023-10-11fiscal Q1 202330600001013762-23-003008
10-K/A2023-08-23fiscal FY 202230570001213900-23-070191
10-Q2023-08-14fiscal Q3 202332880001213900-23-067057
10-Q2023-06-02fiscal Q2 202332840001213900-23-045798
10-Q2023-02-14fiscal Q1 202329580001213900-23-011358
10-K2023-01-17fiscal FY 202230570001213900-23-002887
10-Q2022-08-12fiscal Q3 202230770001213900-22-047212
10-Q2022-05-13fiscal Q2 202229740001213900-22-026482
10-Q2022-02-16fiscal Q1 202125510001213900-22-008011
10-K2022-01-13fiscal FY 202129540001213900-22-001866
10-Q2021-08-20fiscal Q3 202129730001213900-21-043979
10-Q2021-05-20fiscal Q2 202129720001213900-21-028056
10-Q2021-02-19fiscal Q1 202125480001213900-21-010500
10-K2021-01-13fiscal FY 202022440001213900-21-001893
10-Q2020-08-19fiscal Q3 202021600001213900-20-022798
10-Q2020-05-20fiscal Q2 202020600001213900-20-013030
10-Q2020-02-13fiscal Q1 202020440001213900-20-003523
10-K2020-01-13fiscal FY 201923480001213900-20-000850
10-Q2014-08-21fiscal Q3 2014361000001517126-14-000261
10-Q/A2014-05-21fiscal Q2 201431840001517126-14-000165
10-Q2014-02-14fiscal Q1 201431780001517126-14-000054
10-K2014-01-15fiscal FY 201332790001517126-14-000016
10-Q2013-08-16fiscal Q3 201329790001517126-13-000221
10-Q2013-05-15fiscal Q2 201330800001517126-13-000085
10-Q2013-02-12fiscal Q1 201330690001517126-13-000026
10-K2013-01-14fiscal FY 201230740001517126-13-000010
10-Q/A2012-08-21fiscal Q3 201224660001517126-12-000168
10-Q/A2012-06-12fiscal Q2 201226810001517126-12-000087

Inspect the source

Entity
GENUFOOD ENERGY ENZYMES CORP. / CIK 0001510518
Captured
SEC response SHA-256
62040db16ecdc4fe4fac3f00f0b1833b832cf2b3ca42726fa3827465e92e8aa0

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/0001510518.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"])))