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VICON INDUSTRIES INC /NY/: filings

Every VICON INDUSTRIES INC /NY/ 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 2019-01-11

The latest filing in this captured record is a 10-K filed 2019-01-11. No later filing is in the SEC companyfacts record captured on 2026-09-22. VICON INDUSTRIES INC /NY/ 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-K2019-01-11fiscal FY 201841820001493152-19-000485
10-Q2018-08-20fiscal Q3 2018411120000310056-18-000041
10-Q2018-05-15fiscal Q2 2018411120000310056-18-000016
10-Q2018-02-14fiscal Q1 201841840000310056-18-000010
10-K2017-12-29fiscal FY 201746950000310056-17-000053
10-Q2017-08-14fiscal Q3 2017431190000310056-17-000030
10-Q2017-05-15fiscal Q2 2017431190000310056-17-000014
10-Q2017-02-21fiscal Q1 201743880000310056-17-000010
10-K2017-01-13fiscal FY 201645930000310056-17-000002
10-Q2016-08-22fiscal Q3 2016451260000310056-16-000067
10-Q2016-05-23fiscal Q2 2016441220000310056-16-000055
10-Q2016-02-16fiscal Q1 201643910000310056-16-000045
10-K2015-12-29fiscal FY 201545930000310056-15-000041
10-Q2015-08-13fiscal Q3 2015451190000310056-15-000030
10-Q2015-05-15fiscal Q2 2015451190000310056-15-000020
10-Q2015-02-23fiscal Q1 201545910000310056-15-000009
10-K2015-01-12fiscal FY 201448960000310056-15-000002
10-Q2014-08-14fiscal Q3 2014411120000310056-14-000031
10-Q2014-05-14fiscal Q2 2014401100000310056-14-000012
10-Q2014-02-13fiscal Q1 201443880000310056-14-000004
10-K2013-12-30fiscal FY 201344900000310056-13-000030
10-Q2013-08-12fiscal Q3 2013431160000310056-13-000021
10-Q2013-05-14fiscal Q2 2013421220000310056-13-000014
10-Q2013-02-14fiscal Q1 201342860000310056-13-000004
10-K2012-12-21fiscal FY 2012441170000310056-12-000031
10-Q2012-08-07fiscal Q3 2012421140000310056-12-000023
10-Q2012-05-14fiscal Q2 2012411080000310056-12-000017
10-Q/A2012-02-14fiscal Q1 201241840000310056-12-000006
10-Q2012-02-13fiscal Q3 201141840000310056-12-000004
10-K2011-12-22fiscal FY 2011401040000310056-11-000027
10-Q2011-08-11fiscal Q3 2011411060000310056-11-000019

Inspect the source

Entity
VICON INDUSTRIES INC /NY/ / CIK 0000310056
Captured
SEC response SHA-256
90088ae5b9075859eb6ae12c07044c0c737701a9a60cfb47d8e8dd9cfc6ec8d0

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/0000310056.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"])))