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AVG TECHNOLOGIES N.V.: filings

Every AVG TECHNOLOGIES N.V. annual and quarterly report in the SEC record with the published financial measures it tagged, 5 filings, each linked to its SEC index.

Filing record ends 2016-04-25

The latest filing in this captured record is a 20-F filed 2016-04-25. No later filing is in the SEC companyfacts record captured on 2026-09-22. AVG TECHNOLOGIES N.V. 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
20-F2016-04-25fiscal FY 2015501300001193125-16-554318
20-F2015-04-10fiscal FY 2014511310001193125-15-126102
20-F2014-03-25fiscal FY 2013531360001193125-14-113198
20-F2013-04-05fiscal FY 2012531360001193125-13-143954
20-F2012-04-26fiscal FY 2011431140001193125-12-186184

Inspect the source

Entity
AVG TECHNOLOGIES N.V. / CIK 0001528903
Captured
SEC response SHA-256
297a75565f0fcca8c23b79db8efa6c422e3a6358d79a250d8893ec5e6ad91dce

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/0001528903.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"])))