Skip to content

Gene Biotherapeutics, Inc.: filings

Every Gene Biotherapeutics, Inc. 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 2022-04-14

The latest filing in this captured record is a 10-K/A filed 2022-04-14. No later filing is in the SEC companyfacts record captured on 2026-09-22. Gene Biotherapeutics, Inc. 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-K/A2022-04-14fiscal FY 202037720001493152-22-009863
10-K2022-03-30fiscal FY 202037720001493152-22-008205
10-Q2021-10-27fiscal Q3 202036860001493152-21-026416
10-Q2021-09-17fiscal Q2 202036960001493152-21-023014
10-Q2021-09-03fiscal Q1 202031590001493152-21-021992
10-K2021-04-23fiscal FY 2019342390001493152-21-009535
10-Q2017-07-28fiscal Q1 201725500001564590-17-014411
10-K2017-07-28fiscal FY 201633640001564590-17-014409
10-Q2017-03-21fiscal Q3 201624610001564590-17-004872
10-Q2017-03-06fiscal Q2 201622550001564590-17-003445
10-Q2017-03-01fiscal Q1 201621440001564590-17-003066
10-K2016-12-29fiscal FY 201530600001564590-16-030523
10-Q2016-10-27fiscal Q3 201524620001564590-16-026389
10-Q2016-08-29fiscal Q2 201522580001564590-16-024774
10-Q2015-06-18fiscal Q1 201522450001193125-15-226974
10-K2015-05-22fiscal FY 201437680001193125-15-198325
10-Q2014-11-19fiscal Q3 201433880001193125-14-418634
10-Q2014-08-12fiscal Q2 201434890001193125-14-306275
10-Q2014-05-15fiscal Q1 201433880001193125-14-201188
10-K2014-04-15fiscal FY 2013391010001193125-14-144256
10-Q2013-11-19fiscal Q3 2013391010001193125-13-447011
10-Q2013-08-14fiscal Q2 2013391010001193125-13-334329
10-Q2013-05-15fiscal Q1 201337760001193125-13-222573
10-K2013-04-05fiscal FY 201239800001193125-13-144275
10-Q2012-11-14fiscal Q3 201238950001193125-12-469968
10-Q2012-08-14fiscal Q2 201236910001193125-12-355175
10-Q2012-05-15fiscal Q1 201235720001193125-12-234728
10-K2012-03-30fiscal FY 201131640001193125-12-143157
10-Q2011-11-14fiscal Q3 201129890001193125-11-310961
10-Q2011-08-15fiscal Q2 201129900001193125-11-223133

Inspect the source

Entity
Gene Biotherapeutics, Inc. / CIK 0000772320
Captured
SEC response SHA-256
e91552cfabee8416dbcf0b8fa878884f925550f547c9b83f09dd1693554ad83d

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/0000772320.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"])))