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MAM SOFTWARE GROUP, INC.: filings

Every MAM SOFTWARE GROUP, 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 2019-09-30

The latest filing in this captured record is a 10-K/A filed 2019-09-30. No later filing is in the SEC companyfacts record captured on 2026-09-22. MAM SOFTWARE GROUP, 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-K/A2019-09-30fiscal FY 2019511150001437749-19-019219
10-Q2019-05-09fiscal Q3 2019451380001437749-19-009325
10-Q2019-02-11fiscal Q2 2019451340001437749-19-002251
10-Q2018-11-13fiscal Q1 2019451040001437749-18-020610
10-K2018-09-14fiscal FY 2018511050001437749-18-017055
10-Q2018-05-10fiscal Q3 2018441240001437749-18-009452
10-Q2018-02-08fiscal Q2 2018431200001437749-18-002071
10-Q2017-11-14fiscal Q1 201843900001437749-17-019352
10-K2017-09-28fiscal FY 201748980001437749-17-016462
10-Q2017-05-15fiscal Q3 2017431210001437749-17-009252
10-Q2017-02-14fiscal Q2 2017431210001437749-17-002457
10-Q2016-11-14fiscal Q1 201742880001437749-16-042097
10-K2016-09-26fiscal FY 201647950001437749-16-039131
10-Q2016-05-16fiscal Q3 2016461260001144204-16-102761
10-Q2016-02-16fiscal Q2 2016461260001144204-16-081952
10-Q2015-11-12fiscal Q1 201645920001144204-15-064716
10-K2015-09-24fiscal FY 201546950001144204-15-056353
10-Q2015-05-06fiscal Q3 2015431170001144204-15-027948
10-Q2015-02-11fiscal Q2 2015421120001144204-15-007902
10-Q2014-11-12fiscal Q1 201543880001144204-14-066778
10-K2014-09-23fiscal FY 2014491000001144204-14-057415
10-Q2014-05-07fiscal Q3 2014441180001144204-14-028238
10-Q2014-01-29fiscal Q2 2014441180001144204-14-004694
10-Q2013-10-31fiscal Q1 201444900001144204-13-058029
10-K2013-09-25fiscal FY 2013491000001144204-13-052251
10-Q2013-05-07fiscal Q3 2013441180001144204-13-026623
10-Q/A2013-02-01fiscal Q2 2013441180001144204-13-005418
10-Q2012-11-06fiscal Q1 201345920001144204-12-059583
10-K/A2012-09-14fiscal FY 2012491030001144204-12-051469
10-Q2012-04-24fiscal Q3 2012441180001144204-12-023528
10-Q2012-02-06fiscal Q2 2012441180001144204-12-005900
10-Q/A2011-11-14fiscal Q1 201242860001144204-11-064609

Inspect the source

Entity
MAM SOFTWARE GROUP, INC. / CIK 0000832488
Captured
SEC response SHA-256
1b267506611679209e80a65066d0be2b6ff4fb76d969620e34a7dd8a16c393a2

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/0000832488.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"])))