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AMERICAN POWER GROUP Corp: filings

Every AMERICAN POWER GROUP Corp 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 2017-08-28

The latest filing in this captured record is a 10-Q filed 2017-08-28. No later filing is in the SEC companyfacts record captured on 2026-09-22. AMERICAN POWER GROUP 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-Q2017-08-28fiscal Q3 201733810001493152-17-009923
10-Q2017-05-15fiscal Q2 201733810001493152-17-005303
10-Q2017-02-14fiscal Q1 201732640001493152-17-001528
10-K2017-01-17fiscal FY 201634680001493152-17-000536
10-Q2016-08-22fiscal Q3 201636980000932699-16-000140
10-Q2016-05-23fiscal Q2 201635950000932699-16-000133
10-Q2016-02-11fiscal Q1 201635720000932699-16-000101
10-K2016-01-14fiscal FY 201535720000932699-16-000092
10-Q2015-08-14fiscal Q3 201534930000932699-15-000059
10-Q2015-06-29fiscal Q1 201533680000932699-15-000048
10-K2015-06-29fiscal FY 201434690000932699-15-000046
10-Q2015-06-29fiscal Q3 201434910000932699-15-000044
10-Q2015-06-29fiscal Q2 201430740000932699-15-000042
10-Q/A2015-06-29fiscal Q1 201431630000932699-15-000040
10-Q2015-05-20fiscal Q2 201534920000932699-15-000027
10-Q2015-02-17fiscal Q1 201530620000932699-15-000004
10-K2014-12-22fiscal FY 201430620000932699-14-000060
10-Q2014-08-14fiscal Q3 201428700000932699-14-000045
10-Q2014-05-15fiscal Q2 201428700000932699-14-000031
10-Q2014-02-13fiscal Q1 201428580000932699-14-000005
10-K2013-12-23fiscal FY 201330620001445305-13-003258
10-Q2013-08-13fiscal Q3 201328700001445305-13-002112
10-Q2013-05-14fiscal Q2 201328700001445305-13-001315
10-Q2013-02-14fiscal Q1 201330630001445305-13-000217
10-K2012-12-31fiscal FY 201235720001445305-12-003892
10-Q/A2012-09-06fiscal Q3 201232840001445305-12-002827
10-Q/A2012-05-16fiscal Q2 201234870001171520-12-000493
10-Q2012-02-14fiscal Q1 201234660001171520-12-000118
10-K2012-01-13fiscal FY 201135700001171520-12-000024
10-Q/A2011-08-15fiscal Q3 201135910001171520-11-000615

Inspect the source

Entity
AMERICAN POWER GROUP Corp / CIK 0000932699
Captured
SEC response SHA-256
b0d9825c4a4a4117ef568655d70e9a816e7ff9fe93ee2ab468bf73c97dcb19d8

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/0000932699.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"])))