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Progreen US, Inc.: filings

Every Progreen US, 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 2019-03-25

The latest filing in this captured record is a 10-Q filed 2019-03-25. No later filing is in the SEC companyfacts record captured on 2026-09-22. Progreen US, 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-Q2019-03-25fiscal Q3 201928740001493152-19-003834
10-Q2018-12-26fiscal Q2 201928740001493152-18-017927
10-Q2018-09-19fiscal Q1 201928530001493152-18-013461
10-K2018-08-14fiscal FY 201831610001493152-18-011813
10-Q2018-03-26fiscal Q3 201830770001493152-18-003865
10-Q2017-12-20fiscal Q2 201830770001493152-17-014858
10-Q2017-09-19fiscal Q1 201827540001493152-17-010729
10-K2017-08-14fiscal FY 201728560001493152-17-009148
10-Q2017-03-22fiscal Q3 201722570001213900-17-002668
10-Q2016-12-20fiscal Q2 201722570001213900-16-019557
10-Q2016-09-19fiscal Q1 201722450001213900-16-016864
10-K2016-08-15fiscal FY 201623460001213900-16-015982
10-Q2016-03-21fiscal Q3 201620560001213900-16-011765
10-Q2015-12-22fiscal Q2 201620550001213900-15-009666
10-Q2015-09-21fiscal Q1 201520410001213900-15-007147
10-K2015-08-13fiscal FY 201521450001213900-15-006060
10-Q2015-03-23fiscal Q3 201519510001213900-15-001987
10-Q2014-12-22fiscal Q2 201520540001213900-14-009034
10-Q2014-09-22fiscal Q1 201520400001213900-14-006804
10-K2014-06-27fiscal FY 201424500001213900-14-004531
10-Q2014-03-17fiscal Q3 201422590001213900-14-001476
10-Q2013-12-23fiscal Q2 201422590001213900-13-007374
10-Q2013-09-23fiscal Q1 201423470001213900-13-005317
10-K2013-08-13fiscal FY 201323450001213900-13-004185
10-Q2013-03-18fiscal Q3 201324670001213900-13-001159
10-Q2012-12-14fiscal Q2 201324680001213900-12-006793
10-Q2012-09-19fiscal Q1 201323480001213900-12-005336
10-K2012-07-30fiscal FY 201222420001415889-12-001098
10-Q2012-03-16fiscal Q3 201221520001415889-12-000379
10-Q2011-12-16fiscal Q2 201222590001415889-11-001412
10-Q/A2011-09-23fiscal Q1 201222410001415889-11-001040

Inspect the source

Entity
Progreen US, Inc. / CIK 0001079297
Captured
SEC response SHA-256
0ebee563c79ae3b6d3f7a5f97ae6843c5e74132c077d15be4ebf50a94812775b

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/0001079297.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"])))