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Attis Industries Inc.: filings

Every Attis Industries Inc. 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 2019-07-10

The latest filing in this captured record is a 10-Q/A filed 2019-07-10. No later filing is in the SEC companyfacts record captured on 2026-09-22. Attis Industries 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-Q/A2019-07-10fiscal Q1 201840770001213900-19-012350
10-Q2018-08-20fiscal Q2 201840930001213900-18-011473
10-Q2018-05-16fiscal Q1 201838750001213900-18-006453
10-K2018-04-16fiscal FY 201737700001213900-18-004538
10-Q2017-11-14fiscal Q3 2017411020001213900-17-012005
10-Q2017-08-21fiscal Q2 201738950001213900-17-008961
10-K2017-05-31fiscal FY 201637720001213900-17-006008
10-Q2017-05-22fiscal Q1 201736710001213900-17-005629
10-K2017-04-17fiscal FY 201637720001213900-17-003860
10-Q2016-11-15fiscal Q3 201634880001654954-16-004069
10-Q2016-08-25fiscal Q2 201633840001654954-16-001822
10-Q2016-08-22fiscal Q2 201633840001654954-16-001751
10-Q2016-05-16fiscal Q1 201635690001354488-16-007436
10-K2016-04-14fiscal FY 201535560001354488-16-007003
10-Q2015-11-16fiscal Q3 201532850001354488-15-005172
10-Q2015-08-14fiscal Q2 201533890001354488-15-003901
10-Q2015-05-20fiscal Q1 201533640001354488-15-002617
10-K2015-04-15fiscal FY 201413200001354488-15-001767
10-Q2014-11-14fiscal Q3 201419420001354488-14-005711
10-Q2014-08-01fiscal Q2 201418400001354488-14-003825
10-Q2014-05-13fiscal Q1 201418360001354488-14-002484
10-K2014-04-14fiscal FY 201318370001354488-14-001853
10-Q2013-11-14fiscal Q3 201319420001354488-13-006272
10-Q2013-08-19fiscal Q2 201317400001019056-13-000985
10-Q2013-05-14fiscal Q1 201317360001019056-13-000624
10-K2013-04-03fiscal FY 201222460001019056-13-000474
10-Q2012-11-13fiscal Q3 201217400001534424-12-000286
10-Q2012-08-13fiscal Q2 201222490001019056-12-000943
10-Q2012-05-15fiscal Q1 201219400001144204-12-029298
10-K2012-03-30fiscal FY 201121430001144204-12-018371
10-Q2011-11-14fiscal Q3 201120450001144204-11-063300
10-Q2011-07-22fiscal Q2 201120460001144204-11-041753

Inspect the source

Entity
Attis Industries Inc. / CIK 0000949721
Captured
SEC response SHA-256
219a7f21e0d6e2d9a72217bfbea469c8b927d6d4f78906426f2a92e1b8d5d26a

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/0000949721.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"])))