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VERTICAL COMPUTER SYSTEMS, INC.: filings

Every VERTICAL COMPUTER SYSTEMS, INC. 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 2018-11-28

The latest filing in this captured record is a 10-Q filed 2018-11-28. No later filing is in the SEC companyfacts record captured on 2026-09-22. VERTICAL COMPUTER SYSTEMS, 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-Q2018-11-28fiscal Q3 2018351020001615774-18-013353
10-Q2018-08-21fiscal Q2 2018361030001615774-18-008428
10-Q2018-06-08fiscal Q1 201835710001615774-18-004996
10-K2018-05-10fiscal FY 201739790001615774-18-003553
10-Q2017-11-20fiscal Q3 201733910001615774-17-006911
10-Q2017-08-21fiscal Q2 201730860001615774-17-004615
10-Q2017-05-22fiscal Q1 201729600001615774-17-002604
10-K2017-04-24fiscal FY 201635710001615774-17-001835
10-Q2016-11-21fiscal Q3 201631870001615774-16-008520
10-Q2016-08-22fiscal Q2 201631880001615774-16-006927
10-Q2016-05-16fiscal Q1 201630620001615774-16-005475
10-K2016-04-14fiscal FY 201540830001615774-16-004971
10-Q2015-11-16fiscal Q3 201531860001615774-15-003335
10-Q2015-08-19fiscal Q2 201530830001615774-15-002344
10-Q2015-05-15fiscal Q1 201533650001615774-15-001040
10-K2015-04-15fiscal FY 201444880001615774-15-000761
10-Q2014-11-18fiscal Q3 201432860001615774-14-000365
10-Q2014-08-19fiscal Q2 201432860001615774-14-000066
10-Q2014-05-15fiscal Q1 201432640001144204-14-031422
10-K2014-04-15fiscal FY 201341820001144204-14-022832
10-Q2013-11-19fiscal Q3 201332860001144204-13-062947
10-Q2013-08-16fiscal Q2 201332860001144204-13-046621
10-Q2013-05-20fiscal Q1 201332660001144204-13-030541
10-K2013-04-16fiscal FY 201241830001144204-13-022128
10-Q2012-11-19fiscal Q3 201232860001144204-12-063947
10-Q/A2012-09-13fiscal Q2 201232860001144204-12-050999
10-Q2012-05-15fiscal Q1 201231620001144204-12-029687
10-K2012-04-02fiscal FY 201133660001144204-12-019291
10-Q2011-11-14fiscal Q3 201131800001144204-11-064496
10-Q2011-08-15fiscal Q2 201131810001144204-11-047432

Inspect the source

Entity
VERTICAL COMPUTER SYSTEMS, INC. / CIK 0001099509
Captured
SEC response SHA-256
5f47a9d5d3e7c2e2ed0a32fef16c0937ff1e262e874190f1e9b2c3ebef717c98

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/0001099509.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"])))