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IronClad Encryption Corp: filings

Every IronClad Encryption Corp annual and quarterly report in the SEC record with the published financial measures it tagged, 32 filings, each linked to its SEC index.

Filing record ends 2020-02-19

The latest filing in this captured record is a 10-Q filed 2020-02-19. No later filing is in the SEC companyfacts record captured on 2026-09-22. IronClad Encryption 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-Q2020-02-19fiscal Q3 202033970001052918-20-000025
10-Q2019-11-19fiscal Q2 202033960001052918-19-000330
10-Q2019-08-19fiscal Q1 202032700001052918-19-000255
10-K2019-07-16fiscal FY 201931640001052918-19-000219
10-Q2019-02-19fiscal Q3 201932920001052918-19-000034
10-Q2018-11-19fiscal Q2 201931840001052918-18-000441
10-Q2018-08-20fiscal Q1 201931630001052918-18-000346
10-K2018-04-17fiscal FY 201727550001052918-18-000123
10-Q2017-11-20fiscal Q3 201724600001052918-17-000572
10-Q2017-08-21fiscal Q2 201725540001052918-17-000433
10-Q2017-05-22fiscal Q1 201625440001052918-17-000284
10-K2017-03-31fiscal FY 201624490001052918-17-000186
10-Q2016-11-09fiscal Q3 201621490001052918-16-001362
10-Q2016-08-22fiscal Q2 201621500001052918-16-001250
10-Q2016-05-23fiscal Q1 201618330001052918-16-001086
10-K2016-03-30fiscal FY 201524470001052918-16-000902
10-Q2015-11-19fiscal Q3 201520490001052918-15-000637
10-Q2015-08-03fiscal Q2 201520480001052918-15-000347
10-Q2015-05-19fiscal Q1 201521400001052918-15-000259
10-K2015-04-14fiscal FY 201422440001052918-15-000141
10-Q2014-11-12fiscal Q3 201424580001052918-14-000435
10-Q2014-08-13fiscal Q2 201424540001052918-14-000314
10-Q2014-05-15fiscal Q1 201423460001052918-14-000176
10-K2014-03-14fiscal FY 201326570001052918-14-000065
10-Q2013-11-14fiscal Q3 201325610001052918-13-000495
10-Q2013-08-14fiscal Q2 201324580001052918-13-000345
10-Q2013-05-15fiscal Q1 201324520001052918-13-000200
10-K2013-04-16fiscal FY 201223500001052918-13-000138
10-Q2012-11-19fiscal Q3 201223620001052918-12-000582
10-Q2012-05-21fiscal Q1 201224540001052918-12-000278
10-K2012-04-16fiscal FY 201127640001052918-12-000192
10-Q2011-11-16fiscal Q3 201124660001052918-11-000666

Inspect the source

Entity
IronClad Encryption Corp / CIK 0001455926
Captured
SEC response SHA-256
c1f55aa6fc89cfc3fae909bc68391051ccd7b1cd479dbc2d2a0ed57052d25765

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/0001455926.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"])))