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CURATIVE BIOSCIENCES, INC.: filings

Every CURATIVE BIOSCIENCES, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 31 filings, each linked to its SEC index.

Filing record ends 2018-05-15

The latest filing in this captured record is a 10-Q filed 2018-05-15. No later filing is in the SEC companyfacts record captured on 2026-09-22. CURATIVE BIOSCIENCES, 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-Q2018-05-15fiscal Q3 201825550001493152-18-007019
10-Q2018-03-07fiscal Q2 201821500001493152-18-003001
10-Q2018-03-07fiscal Q1 201820400001493152-18-003000
10-K2018-02-23fiscal FY 201721420001493152-18-002542
10-Q/A2018-01-16fiscal Q3 201721490001493152-18-000552
10-Q/A2018-01-16fiscal Q2 201721500001493152-18-000550
10-Q2017-08-09fiscal Q3 201721510001493152-17-008754
10-Q2017-08-09fiscal Q2 201721520001493152-17-008752
10-Q2016-11-25fiscal Q1 201721440001493152-16-015452
10-K2016-10-27fiscal FY 201623450001493152-16-014303
10-Q2016-06-22fiscal Q3 201620480001493152-16-011015
10-Q2016-02-18fiscal Q2 201622530001477932-16-008696
10-Q2015-11-19fiscal Q1 201522450001477932-15-007210
10-K2015-11-09fiscal FY 201524490001477932-15-006817
10-Q2015-05-15fiscal Q3 201523550001477932-15-003264
10-Q2015-05-14fiscal Q2 201523550001477932-15-003083
10-Q2015-02-17fiscal Q2 201523550001477932-15-001230
10-Q2014-11-19fiscal Q1 201424510001552781-14-001063
10-K2014-10-27fiscal FY 201427500001552781-14-000896
10-Q/A2014-05-16fiscal Q3 201422490001552781-14-000451
10-Q2014-02-19fiscal Q2 201421480001552781-14-000135
10-Q2013-11-14fiscal Q1 201420380001552781-13-000091
10-K/A2013-10-01fiscal FY 201322440001524829-13-000166
10-K2013-09-30fiscal FY 201322440001524829-13-000160
10-Q2013-05-10fiscal Q3 201322560001554757-13-000290
10-Q2013-02-14fiscal Q2 201321540001554757-13-000065
10-Q2012-11-14fiscal Q1 201322440001554757-12-000321
10-K2012-10-16fiscal FY 201225480001554757-12-000245
10-Q2012-05-15fiscal Q3 201227670001019687-12-001811
10-Q2012-02-14fiscal Q2 201227630001019687-12-000528
10-Q2011-11-14fiscal Q1 201226490001019687-11-003515

Inspect the source

Entity
CURATIVE BIOSCIENCES, INC. / CIK 0001137005
Captured
SEC response SHA-256
fc4f9cbfd643621d86ed2b35727989036c1802405eaa55274bc8b9b1425b7760

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/0001137005.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"])))